WEBVTT

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I'm Ray Quay. I'm with D CDC at Arizona State University. Um I'm gonna

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have Mark come up and make some
welcoming comments here right away and

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then Chuck is going to introduce why
you're here and what a SU is gonna do

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for you today. So Mark, take it away.
Thank you. Thank you. Um No, thank

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you for coming today. Uh So yeah, as
uh I don't know if you all of, you

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know, me uh Chief ST officer here at
the city and this topic of urban heat

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in Phoenix. Uh It's really been
interesting as we study and talk about

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with EPA and the all studies lead back
here. So much research has been

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done uh here in Phoenix. It's really
the epicenter of all research related

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urban heat. Uh And one of the things,
it's interesting a number of months

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ago, um Michael Crow, the head of a SU
called Ed and said, you know, we

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really need to get our researchers
together and take action on this urban

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heat. And it's really been now
something a top priority for the city to

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say, let's really look at this.
There's been um historically, a really a

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potpourri around the city of research
and of pilot projects that city

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departments have done and really
saying, what is it, we can pull together.

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And I think the concept of I'd like to
say to you sit back, relax and

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hear this uh rapid fire presentations.
But actually, we don't, we want you

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actually to engage, to think of how,
what ideas and, and the way to have

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come up with innovation is you take
two really good ideas and put them

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together. And so we really want you to
see that the research that's been

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done and say, is there any way to
apply this and things of the city? I

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mean, we have a $32 billion
transportation 2050 plan rolling out. Is there

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a way while we do that, that we can
actually employ some of these uh

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techniques and ideas that you'll see
presented as we have in just in

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streets alone, 2 billion as part of
transportation in repaving our streets

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between now and 2050 80% of them. Is
there a way what we can do with our

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streets, our sidewalks, our parking
lots, our buildings uh that can really

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have this effect. So let the ideas uh
be the whole time engaged to say,

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how can we apply these and what can we
do to have a cohesive strategy,

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citywide to really lower uh urban
heat. And I guess the last area is um

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that we wanna be thinking about is
it's actually heat really

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disproportionately affects some areas
of Phoenix, particularly South and

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West Phoenix vulnerable populations.
And so, uh really implementing some

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of those first uh in those
neighborhoods and really look at, uh I think

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it's been described by some as instead
of xeriscape zero escape uh in a

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lot of South Phoenix. And how do we
really change that uh to really cool

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it. Um One of the most interesting, I
don't know if we're hearing about

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this research today, but we're studied
two neighborhoods just two miles

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apart and it was a 13 degree average
surface temperature difference

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between those two neighborhoods, 13
degrees. So really saying how it's a

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great value in employing some of these
uh can make a real difference. So,

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thank you. Uh welcome and uh looking
forward to your ideas and I think

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we'll have Chuck from a su here,
introduce us to uh sort of the format of

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this morning. Thank you. So I'm, I'm
gonna introduce Chuck and Chuck is a

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very humble guy, but I need all of,
you know, that Chuck is pretty much a

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legend at a SU. He's kind of the
founder of some of the major

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environmental programs we have. So
Chuck take it away. Thank you, Ray. And

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thanks, Mark. Um As Mark said, there's
a long history of research on heat

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both by the city of Phoenix by a SU.
Um What our hope is is that this is

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um going to move this activity to the
next level. What the next level is,

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is as much up to you as it is up to a
su. But somehow we want to make

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projects more comprehensive, break
down the silos part of that is at a su

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do more interdisciplinary approaches
to these things. And for some of us,

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including me, there'll be things that
I was unaware of that. I know I'm

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gonna hear about today and that'll be
exciting and I'm hopeful that it'll

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be the same for you and that'll be the
same across your departments as

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well. Um The first step in this
collaboration uh has been taken, you

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haven't quite got it yet, but Mark has
promised me, Caitlin Burle Burwell

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, an A su intern in his office has
collected at least the first go at the

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history of projects done in the city
of Phoenix by the city. And so we're

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hoping we'll get to distribute that to
you. We'll link it to our online

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site we'll be talking about during the
morning uh that we hope becomes a

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resource for you as well as for us. Uh
the next step. So there is a sort

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of compendium of what the city's been
doing. The next step is today this

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morning. And that's to give you not an
exhaustive, but at least a tasting

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menu of what A SU is doing right now.
Sort of the emphasis here is on

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diversity of things not on that, you
fully understand each project

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presented because we've only allow 4
to 5 minutes. Uh And we'll be pretty

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strict about that. Um Hopefully, what
that's going to do is position

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ourselves both in the short term to
collaborate on actual projects that

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you have in the pipeline already and
moving soon. And hopefully we can

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help in some way. And that's what
today and this morning's about and you

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notice we're split into three
sections. There isn't a, an absolute order

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to the world in those sections, but
we're trying to divide things up. But

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at the end of each of those three,
short groups of papers, we open up some

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time for you to reflect and ask and
say, would this make sense for

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something I'm doing? Here's something
I'm doing that you haven't thought

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about and so forth. So we're trying to
interdigitate what a su is doing

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with 10 or 12 minutes for you to react
and say what you think is relevant

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going to it. Um Part of this whole
procedure is just getting together and

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sharing ideas. The other part is sort
of coming up with some statements

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and one of those sets of statements
and if I can use this, it'll work. OK.

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 No.

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Oh yes. One of those in the typing
small enough that it doesn't matter is

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a set of principles that I think we'll
need to agree on. But basically,

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and they're not surprising and mark
already said a number of them is in

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the first one is the biggest one for
me. I think most people say it's,

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it's hot in Phoenix. There it is. I
can't do anything about it. Well, it's

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getting hotter. It's in the 30 odd
years I've lived here, the morning

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temperatures have skyrocketed. The,
the daytime highs aren't that much

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radically different, but the number of
days over 100 is radically

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different. So we are moving, it is
getting hotter. I think we all need to

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take an oath that something can be
done about this. I mean, if not, and I

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think this is what drives certainly
the city manager, if not, it is a

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threat to the future vitality of this
city and we can't let that happen. I

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intend to be here and retire here and
I can't let my real estate values go

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down so that let's, we can deal with
that. Um The second is a point mark

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brought up and that is, it doesn't
affect everyone. Equally different

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neighborhoods are, have radically
different experiences uh, with urban

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Heat Island in particular. Uh, and we
can do something about that. That,

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that is addressable. We need the will,
we need to know what it is, you

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know, a fair amount about what has
worked and not work. We know other

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things about what could work and might
work. Uh We need to get together on

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that and in all of this, we need to
set some priorities and that's going

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to be more your business than our
business. We might open the door to what

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we think can and can't be done. Uh,
but you have to walk in and say this

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is what's important to us. Is it the
hottest areas we deal with first? Is

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it the most vulnerable populations?
And I heard that, uh, that we need to

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sort of rescue and, and it's low
hanging fruit in a lot of these cases, uh

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some tree planting and Richard knows
what to do, um could make all the

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difference for them. And so we need to
look there. Uh but we need to go

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beyond just uh shade trees. I think we
need to start talking about a city

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of a future where we want people to be
able to walk in the summer. I mean

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, it, our sidewalks are not cool
zones. We need, we want people to

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assemble for meetings for music, for
outdoor uh farmers markets. Uh We

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need to make cool areas in the city
where people can be cool areas to

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approach bus stops and to be at them
or our all our energy at rapid

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transit won't work. Um And the biggest
thing is um if we're going to do

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that, uh we need people behind it,
obviously the people in this room, a Su

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city of Phoenix staff and, and
directors. Um but we also need um the

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general public and I actually think
that they're ready. I think we see it

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more and more this year in the news
more than ever before. I mean, the

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heat wave at a city like San
Francisco, they even thought in Seattle they

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had a heat wave. Um, these are amazing
things. These are capturing

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people's ideas and I think, uh we a su
and particularly the city of

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Phoenix can be in the national
limelight for something good. Uh, And I

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think it's, it, it's an opportunity
that we are sort of a canary in a coal

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mine. It is hot here, by the way, even
today is a little hot though it was

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very pleasant coming down here. Um We
can set the tone, we can set some

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guidelines and what could be done. Um
I don't really need the slides. Oops

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, you can't read those. OK. Uh This is
the one saying we need people

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behind it. Um But I would like to
believe that at the end of today, we

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will be collaborating on 23 or four
short term on the ground projects

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happening. But I also want us to lay
the foundation for, for making

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Phoenix uh the leader nationally and
potentially internationally in

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addressing heat. Urban heat is AAA
problem of the 21st century for

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probably 40% of the global population.
And we are in a position to uh set

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the tone for that. And I think um we
do it for ourselves, but we also can

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do it uh uh for the rest of the world.
So I'm looking forward to these

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presentations and um hopefully we'll
be able not just to learn but to um

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get together on a lot of them.

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Ok. So, as has been mentioned, we have
a whole series, 16 different rapid

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fire presentations that we're gonna
present you today. We've grouped them

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into a topical areas. Um, the agendas
on the table give you an idea of

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what those topical areas are. After
each to, uh, after the lightning talks

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for each topic, we're gonna have 10
minutes for discussion. Uh If anybody

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has some clarifying question that they
really are compelled to ask, we'll

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go ahead and answer there, but we
really want to spend our time in you

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discussing how does, what was just
presented, what you heard relate to

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what you do here at the city of
Phoenix. And let me assure you, everybody

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in this room is affected by, um, the
urban heat, extreme heat, urban Heat

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Island, there isn't anybody in here
that isn't going to be affected in

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some way by that. And so it's
important for you. We want you to be

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thinking about that. How does it
affect what I do and how can we use this

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to try to help us adapt to the urban
heat? Um And if you are interested,

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if you have a, if you don't want to
ask a question because you're, you,

00:11:39.019 --> 00:11:41.826
you feel like Well, he just said those
compelling questions, those

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clarified. Now mine's not that
important. We have a, a piece of paper at

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the table, several pieces of paper
that you can write your question down

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on or if you want to reach out to one
of the researchers to make a

00:11:54.070 --> 00:11:57.206
connection with them, which we
encourage you to do. You can also do that

00:11:57.239 --> 00:12:00.336
with this piece of paper, mark on it.
Who you would like to contact, put

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your name and your email address on
there and we'll connect you with those

00:12:04.399 --> 00:12:08.057
people. So any questions at all about
how we're gonna get started today,

00:12:08.090 --> 00:12:10.726
particularly from the speakers, all
the speakers you all understand five

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minutes. You have five minutes. OK.
All right. All right. OK. So let's get

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started. I'm gonna introduce David
Sailor, who's with the School of

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Geographical Sciences and Urban
Planning at a Su David.

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All right. Thank you. And uh I
understand that as a kickoff talk. Each

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session, we eight minutes, right? You
think about? All right. So I'll

00:12:32.928 --> 00:12:38.336
speak fast. So, um my, my goal in this
presentation is to start by sort of

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kicking off this session on urban form
materials and composition and how

00:12:43.009 --> 00:12:47.236
they affect urban heat uh with some
sort of a broad overview and then I'll

00:12:47.269 --> 00:12:51.525
get into some specific research of my
own on this topic. So let me jump

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right in. Uh So what is the role of
urban form, materials and composition

00:12:55.538 --> 00:13:00.047
? In the urban energy balance. Uh So
we start with this figure here and we

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look at the key drivers of the energy
balance, which are the sources of

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energy input into the urban setting.
It starts with short wave radiation

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from the sun. That's the key driver
of, of the uh urban energy balance.

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But there's also a source of energy
that's input by our own activities,

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waste heat from buildings, uh industry
and vehicles. So how this energy

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that enters the environment and uh is
sort of moved around um in in the

00:13:27.469 --> 00:13:32.895
city depends on a number of factors
related to urban form and materials.

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So there's convection, there's long
wave radiation emission from surfaces

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, there's thermal storage as a
function of the material density and and

00:13:41.678 --> 00:13:44.807
the heat capacity of the materials in
the city. And then there's

00:13:44.840 --> 00:13:49.826
evaporation that takes some of the,
the heat that's in the city and moves

00:13:49.859 --> 00:13:55.116
it into evaporative cooling. So how do
we uh mitigate urban heat in the

00:13:55.149 --> 00:14:00.427
city? Well, there are a number of, of
opportunities here in terms of how

00:14:00.460 --> 00:14:04.576
we address some of the key drivers. So
for example, at the local scale, we

00:14:04.609 --> 00:14:10.177
can think about shading of of solar
radiation in terms of the radiation

00:14:10.210 --> 00:14:13.515
from the sun hitting surfaces, uh we
can make those surfaces more

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reflective to that radiation, that
would be something we would refer to as

00:14:16.190 --> 00:14:21.407
high albedo surfaces. And then
furthermore, uh the the form of the city

00:14:21.440 --> 00:14:25.226
itself. And the the depth of these
urban canyons actually affects

00:14:25.259 --> 00:14:29.895
radiation trapping. Uh So the sun
coming in during the day, uh more of

00:14:29.928 --> 00:14:34.287
that solar energy is stored in the
building materials. And at night as

00:14:34.320 --> 00:14:37.836
you're trying to cool the city through
long wave evaporative or long wave

00:14:37.869 --> 00:14:42.537
emissions, um that trapping actually
makes it harder for surfaces to cool.

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So that's an element of urban form.
That's important Vapo transpiration.

00:14:46.509 --> 00:14:50.186
Obviously, the more vegetation you
have, the more pervious materials you

00:14:50.219 --> 00:14:55.005
have in the city, the better able you
are to to use moisture as an

00:14:55.038 --> 00:14:58.645
evaporative cooler for the city. And
then of course, how you design the,

00:14:58.678 --> 00:15:04.005
the mi the city in terms of the
materials affects thermal storage.

00:15:04.038 --> 00:15:08.366
So with that as sort of a an overview
of some of the key issues related to

00:15:08.399 --> 00:15:12.956
how urban form materials and
composition affect the uh climate and what we

00:15:12.989 --> 00:15:16.346
can do about it. You know, the next
set of questions really have to do

00:15:16.379 --> 00:15:21.336
with, with which which strategies do
we choose and how do we deploy them?

00:15:21.369 --> 00:15:25.525
So I would say that before we, we go
that far, we need to step back and

00:15:25.558 --> 00:15:28.677
ask ourselves, well, what is it that
we're really trying to solve? And

00:15:28.710 --> 00:15:33.375
oftentimes cities will glo glom onto
this concept of, well, we want to

00:15:33.408 --> 00:15:36.177
reduce the urban heat island and I
would say you don't really want to

00:15:36.210 --> 00:15:39.436
reduce the urban heat island per se.
What you really want to do is you

00:15:39.469 --> 00:15:43.326
want to think about your underlying
goals, which very co very commonly are

00:15:43.359 --> 00:15:46.816
, we want to improve health and well
being for our citizens. We want to

00:15:46.849 --> 00:15:50.125
reduce heat related mortality. And so
if your focus is questions like that

00:15:50.158 --> 00:15:54.427
, you'll be thinking beyond
temperature differences between city and, and

00:15:54.460 --> 00:15:57.096
suburbs, you'll be thinking about
humidity, you'll be thinking about

00:15:57.129 --> 00:16:02.385
mixing uh and all sorts of, of other
climate parameters in the city. So

00:16:02.418 --> 00:16:04.956
now why is research needed? Why do we
need to come together with the city

00:16:04.989 --> 00:16:09.226
? Because uh you've got great
questions. We've got great questions, but we

00:16:09.259 --> 00:16:13.635
need our, our questions to address
what your concerns are. And you have to

00:16:13.668 --> 00:16:18.885
recognize that uh there are a lot of
complications and nuances related to

00:16:18.918 --> 00:16:21.927
implementing strategies. So there are
co benefits of any strategy you

00:16:21.960 --> 00:16:25.417
might consider and there are also
potential unintended adverse

00:16:25.450 --> 00:16:29.336
consequences. So we need to understand
those aspects of heat mitigation.

00:16:29.369 --> 00:16:33.015
We also have to understand that any
heat mitigation strategy you implement

00:16:33.048 --> 00:16:36.407
affects multiple climate variables and
it affects these variables across

00:16:36.440 --> 00:16:39.826
space and across time. So you have
different effects at night than in the

00:16:39.859 --> 00:16:43.875
daytime and winter and summer. And
then furthermore, it's not just a

00:16:43.908 --> 00:16:47.706
matter of deploying heat mitigation
strategies. Let's plant, am uh you

00:16:47.739 --> 00:16:52.057
know, a million trees or whatnot. It's
the spatial distribution of these

00:16:52.090 --> 00:16:56.927
trees. It's a spatial distribution of
surfaces that you modify that, that

00:16:56.960 --> 00:17:01.895
also play a role in affecting the
urban thermal signature. So with that as

00:17:01.928 --> 00:17:04.906
sort of an overview of the topic area,
I wanna jump quickly into my own

00:17:04.939 --> 00:17:09.696
research and how it relates to some of
Phoenix's needs related to uh heat

00:17:09.729 --> 00:17:13.097
mitigation. So I've worked in a number
of cities most recently, my current

00:17:13.130 --> 00:17:18.486
projects kind of focus on Los Angeles,
Houston and Phoenix. And so I've

00:17:18.519 --> 00:17:21.245
grouped them into sort of two
categories of projects I'm working on. One

00:17:21.278 --> 00:17:26.345
is targeted heat mitigation. So the
goal in this suite of projects really

00:17:26.378 --> 00:17:30.206
is to reduce vulnerability to extreme
heat, but through strategic

00:17:30.239 --> 00:17:34.265
allocation of resources, so that the
word targeted is very important here.

00:17:34.298 --> 00:17:38.236
So when we think of v vulnerability,
we think of the populations that are

00:17:38.269 --> 00:17:41.835
sensitive, we think of those that
don't have the adaptive capacity to

00:17:41.868 --> 00:17:46.126
respond and we think about exposure,
those are the three key pillars of

00:17:46.159 --> 00:17:49.607
vulnerability. And so we can overlay.
This is a study that we did for Los

00:17:49.640 --> 00:17:55.107
Angeles, but it's obviously very uh
translatable to Phoenix. Uh We overlay

00:17:55.140 --> 00:17:59.347
where the elderly are, where the poor
are and where there's extreme

00:17:59.380 --> 00:18:03.426
exposure and extreme exposure for L A
can actually be inland where it's

00:18:03.459 --> 00:18:07.545
very hot or it can also be closer to
the coast where it's not as hot but

00:18:07.578 --> 00:18:12.035
there's less uh availability of air
conditioning. So in that project, we

00:18:12.068 --> 00:18:17.637
recognize the importance of of
understanding heat mitigation across scale.

00:18:17.670 --> 00:18:21.696
So it's not all about very local
scales. It's not all about very large

00:18:21.729 --> 00:18:25.367
scales. We need to sort of integrate
uh our understanding of effects. So

00:18:25.400 --> 00:18:29.897
from the county to regional scales
where we can explore the impact uh sort

00:18:29.930 --> 00:18:34.535
of the area impact of specific
modifications that we might propose at the

00:18:34.568 --> 00:18:38.325
neighborhood scale to explore local
microclimate effects of specific case

00:18:38.358 --> 00:18:42.117
studies. So what can we do to cool a
particular neighborhood? But then

00:18:42.150 --> 00:18:45.045
also recognizing that it's not all
about the outdoor environment. So we

00:18:45.078 --> 00:18:48.127
need to kind of go to the building
scale to explore the effects of heat

00:18:48.160 --> 00:18:52.607
mitigation strategies uh at the local
scale in terms of indoor thermal

00:18:52.640 --> 00:18:56.416
comfort and air conditioning, energy
use. And what happens if say your air

00:18:56.449 --> 00:19:00.496
conditioner goes out. So that project
has some overlaps with this home air

00:19:00.529 --> 00:19:04.387
project that we're doing in Houston
right now. The goal of this project is

00:19:04.420 --> 00:19:08.285
really to understand how construction
management practices and occupant

00:19:08.318 --> 00:19:12.506
behavior interact and influence indoor
air quality and thermal

00:19:12.539 --> 00:19:17.045
environments uh during air quality
episodes and extreme heat events. But

00:19:17.078 --> 00:19:21.266
with an emphasis on understanding,
well, what happens when you have uh a

00:19:21.299 --> 00:19:25.565
heat wave that's coincident with a
power failure which actually has

00:19:25.598 --> 00:19:30.996
happened fairly recently. Um And so we
refer to that as a heat disaster.

00:19:31.029 --> 00:19:34.446
And so that's, that's one of the the
key areas that we're looking at and

00:19:34.479 --> 00:19:39.117
the methods in this study is a case
study of field measurements in 20

00:19:39.150 --> 00:19:42.867
assisted living facilities in Houston.
And yes, during Harvey, we were

00:19:42.900 --> 00:19:46.406
actively monitoring me making
measurements. In fact, those sensors are

00:19:46.439 --> 00:19:49.256
gonna be coming home in about two
weeks and we're going to be doing some

00:19:49.289 --> 00:19:53.545
analysis of that. Uh We're using those
that field study along with surveys

00:19:53.578 --> 00:19:57.686
, surveys that we're actually
replicating in Los Angeles and Phoenix uh

00:19:57.719 --> 00:20:00.825
modeling work at the building scale to
the to the neighborhood and

00:20:00.858 --> 00:20:05.075
regional scales and laboratory
measurements. So this is just, I'm gonna

00:20:05.108 --> 00:20:09.026
give you a flavor of, of two of the
research questions that we've been

00:20:09.059 --> 00:20:12.535
addressing to understand the kinds of
findings we're getting. So the first

00:20:12.568 --> 00:20:16.656
question is how hot and polluted does
it get indoors during a heat

00:20:16.689 --> 00:20:20.565
disaster? So a heat wave with air
conditioning failure and while it might

00:20:20.598 --> 00:20:23.967
be difficult to see this, this plot in
detail, the upshot is that during a

00:20:24.000 --> 00:20:29.065
power outage, the indoor temperatures
can easily rise well above ambient

00:20:29.098 --> 00:20:32.897
outdoor temperatures. So that's this
blue line. So shortly after that

00:20:32.930 --> 00:20:36.726
power failure relative to the green
line, which is the actual outdoor

00:20:36.759 --> 00:20:41.506
ambient temperature. Um and also the
indoor air quality. In this case,

00:20:41.539 --> 00:20:44.795
we're just looking indoor ozone, uh
which is typically much lower than

00:20:44.828 --> 00:20:48.516
outdoor ozone, of course, but it can
rise rapidly depending upon the

00:20:48.549 --> 00:20:53.565
occupant behavior and the behavioral
response to the episode. So there's

00:20:53.598 --> 00:20:58.226
some interesting interplay between
indoor air quality and sort of thermal

00:20:58.259 --> 00:21:03.137
resilience um related to that we're
asking a question of how do energy

00:21:03.170 --> 00:21:07.285
efficiency measures affect the ability
of a building to maintain a healthy

00:21:07.318 --> 00:21:11.236
indoor thermal condition. Something we
refer to as passive survivability

00:21:11.269 --> 00:21:14.387
when we're thinking about what happens
if you don't have ac how quickly

00:21:14.420 --> 00:21:19.186
does the house heat up? And so the,
the two upshots from this are that yes

00:21:19.219 --> 00:21:22.756
, you can deploy a wide range of
energy efficiency strategies from high al

00:21:22.789 --> 00:21:27.196
beta roofs to better insulation in the
walls or, or ceilings to window

00:21:27.229 --> 00:21:34.436
retrofits and all this and the the
effect on energy savings is there. But

00:21:34.469 --> 00:21:37.226
anything you do to the building is
going to also affect its passive

00:21:37.259 --> 00:21:40.946
survivability. And so one thing that
we've identified here is that for

00:21:40.979 --> 00:21:46.555
example, in existing older
construction buildings, uh adding a high

00:21:46.588 --> 00:21:51.736
Alberta roof actually can reduce the
number of hours outside this passive

00:21:51.769 --> 00:21:57.315
survivability metric by on the order
of 25%. So you can have huge effects

00:21:57.348 --> 00:22:01.617
on passive survivability. So with
that, I'll conclude, it hopefully gives

00:22:01.650 --> 00:22:04.897
you a flavor of the types of things
that I'm doing and hopefully it is

00:22:04.930 --> 00:22:11.347
also a little bit of an intro
introduction to this session. Thanks,

00:22:11.380 --> 00:22:15.696
thanks David. So next up, we have
Billy Turner, Billy's with the school

00:22:15.729 --> 00:22:21.607
Geographical Sciences and urban
planning and the school sustainability.

00:22:21.640 --> 00:22:26.627
Uh So very quickly, I'm one of a group
of people working out of this

00:22:26.660 --> 00:22:31.887
particular lab that are very much
interested on the uh distribution that

00:22:31.920 --> 00:22:36.585
is a patterning in the shape of land
covers from the household level up to

00:22:36.618 --> 00:22:41.367
neighborhoods in regard to how uh this
would affect uh uh temperature,

00:22:41.400 --> 00:22:46.387
both land surface temperature and a
above ground temperature. And I call

00:22:46.420 --> 00:22:50.426
this land architecture or land system
architecture, meaning that there is

00:22:50.459 --> 00:22:55.656
a design to the horizontal uh shaping
of different land covers, the

00:22:55.689 --> 00:22:59.075
composition and configuration of land
covers and which configuration

00:22:59.108 --> 00:23:05.555
involves pattern, connectivity and
shape uh of, of the land covers. And we

00:23:05.588 --> 00:23:09.756
, as I said, we have any number of
people uh who are working on this

00:23:09.789 --> 00:23:14.357
particular activity. And I just want
to show you a few uh all the results

00:23:14.390 --> 00:23:18.756
that I'm going to give you uh our
results that I would argue are in first

00:23:18.789 --> 00:23:23.117
stage analysis, meaning yes, they've
been published. But I would still

00:23:23.150 --> 00:23:26.897
argue, you know, there's two or three
more steps to go before we move

00:23:26.930 --> 00:23:31.325
forward. And I'm sorry, I never know
how to, there we go. All right. And

00:23:31.358 --> 00:23:34.416
um the other point I want to make out
is we have not include any

00:23:34.449 --> 00:23:37.967
verticality in these studies. And the
reason for that is that we haven't

00:23:38.000 --> 00:23:43.416
had lidar data until now. And so now
we'll start adding verticality into

00:23:43.449 --> 00:23:48.627
this into this notion of what is the
configuration of the land system. I

00:23:48.660 --> 00:23:53.686
want to show you four results. The
first three results are from studies uh

00:23:53.719 --> 00:23:58.416
examining uh excuse me. The first
three results are studies using frag

00:23:58.449 --> 00:24:04.377
stats. These are distributional uh
measures that come out of ecology to

00:24:04.410 --> 00:24:07.835
say different land covers have
different patterns, different shapes and

00:24:07.868 --> 00:24:12.835
whatnot. The bottom one is a a new
metric used in the spatial sciences

00:24:12.868 --> 00:24:17.607
called uh normal momentum of inertia.
And it's not important as to, to

00:24:17.640 --> 00:24:21.986
what that means. Uh And so let me go
very quickly through them. So these

00:24:22.019 --> 00:24:26.686
are, as I said, are all sort of
initial stage studies, they're all done at

00:24:26.719 --> 00:24:31.637
the parcel level, right? So they begin
with 1 m square land covers of

00:24:31.670 --> 00:24:37.406
individual parcels and build up to uh
neighborhoods. So in the first, this

00:24:37.439 --> 00:24:43.065
is looking at above ground
temperature, OK, not land surface temperature.

00:24:43.098 --> 00:24:47.456
And all I'm gonna give you are the
most robust results from the studies,

00:24:47.489 --> 00:24:53.006
not the multiple uh parts of the
study. So the big message in our first

00:24:53.039 --> 00:24:58.656
analysis of above ground temperature
is that the complexity that is the

00:24:58.689 --> 00:25:06.266
shape of the residential unit turns
out to be quite robust uh in terms of

00:25:06.299 --> 00:25:10.756
temperature reducing temperature,
especially at night time. And we find

00:25:10.789 --> 00:25:16.467
this difficult to explain. Uh we're
still in the stage of trying to

00:25:16.500 --> 00:25:20.545
address why would this happen? We need
liar data. We think before we can

00:25:20.578 --> 00:25:24.706
really begin to answer that question
in regard to the issue of shading and

00:25:24.739 --> 00:25:29.666
whatnot. And number two, what you see.
And now this is on land surface

00:25:29.699 --> 00:25:34.266
temperature done around the entire
valley that the more you have small

00:25:34.299 --> 00:25:39.217
patches of different land covers
tightly connected with one another.

00:25:39.250 --> 00:25:42.986
That's what I'm trying to show you all
uh in, in the picture, right? The

00:25:43.019 --> 00:25:47.035
more you get uh an increase. Uh I
believe I can't read this from here

00:25:47.068 --> 00:25:50.486
increase in daytime temperature

00:25:50.519 --> 00:25:57.357
number three and here we're getting
into shape uh as you move from, uh

00:25:57.390 --> 00:26:02.867
let's say, more compact kind of shapes
in certain land covers to complex

00:26:02.900 --> 00:26:06.877
shapes of land covers. Now remember
this from individual households up to

00:26:06.910 --> 00:26:10.607
neighborhoods. Uh what are the
results? And you can see that we do get uh

00:26:10.640 --> 00:26:16.706
differences uh as the shapes increase
in complexity. And that's what I'm

00:26:16.739 --> 00:26:20.835
trying to show you in the, in the, in
the picture, uh you get uh increased

00:26:20.868 --> 00:26:26.516
or decreased uh temperatures. Uh and I
can't read it, sorry. Uh But you

00:26:26.549 --> 00:26:33.516
can read exactly what it says. It
happens in the last um um in the last

00:26:33.549 --> 00:26:38.555
study and number four, using a normal
mo momentum of inertia, which comes

00:26:38.588 --> 00:26:43.196
from spatial analytics. Basically,
what this is telling us is that as the

00:26:43.229 --> 00:26:48.906
shapes become more compact and densely
associated with each other, the

00:26:48.939 --> 00:26:53.367
greater cooling effect or the grating
heating effect that you get from the

00:26:53.400 --> 00:26:57.305
different land covers. Now, when I say
land cover, I'm talking grass

00:26:57.338 --> 00:27:02.795
versus trees versus uh impervious
surface versus buildings versus right,

00:27:02.828 --> 00:27:07.371
the whole array of different land
covers uh that are out there, we're

00:27:07.404 --> 00:27:12.440
beginning to find if you would uh some
very interesting uh results that in

00:27:12.473 --> 00:27:16.722
fact, something more than composition
is involved. Now, very quickly, can

00:27:16.755 --> 00:27:19.851
we do that? Can we do something to
optimize this? To tell us something

00:27:19.884 --> 00:27:24.526
about Phoenix? Here we are, I should
point out this is central Phoenix, uh

00:27:24.559 --> 00:27:28.726
south central Phoenix. And what we've
done is create an optimization model.

00:27:28.759 --> 00:27:33.406
Those little squares that you see are
100 and 80 square, uh uh 100 and 80

00:27:33.439 --> 00:27:38.127
100 and 80 m across. And what they
show you, if you had that many spaces

00:27:38.160 --> 00:27:42.607
to green, it shows you the degree of
greening you would get during the day

00:27:42.640 --> 00:27:46.617
and the de the de degree of greening
you would get uh not the degree of

00:27:46.650 --> 00:27:49.897
temperature that you would get during
the day versus uh during the night.

00:27:49.930 --> 00:27:54.246
And you can see the very significant
ones you get uh during the day and

00:27:54.279 --> 00:27:59.637
you would say, OK, but we, we can't
change those at night. So we do an

00:27:59.670 --> 00:28:02.825
analysis of the optimization. And in
fact, if you could do this patterning

00:28:02.858 --> 00:28:09.045
, according to our model, you would
get 96% of the daytime cooling as well

00:28:09.078 --> 00:28:14.045
as 96 96% of the nighttime cooling. So
these are just some of the kinds of

00:28:14.078 --> 00:28:18.746
ways we're trying to deal with the uh
land architecture of the city and

00:28:18.779 --> 00:28:26.779
how it affects temperature.

00:28:38.858 --> 00:28:41.666
What?

00:28:41.699 --> 00:28:48.686
No, you could place them.

00:28:48.719 --> 00:28:56.719
You would get that kind of impact
according to our initial models.

00:28:57.219 --> 00:29:03.035
OK. Thanks. Thanks Billy. So next up.
We have Chris Homa Haney. Thank you.

00:29:03.068 --> 00:29:06.877
Sorry, Haney. Sorry, thanks. All
right, thanks.

00:29:06.910 --> 00:29:10.746
Uh, hi, everybody. Thanks for having
me. Um I'm gonna talk about, um,

00:29:10.779 --> 00:29:14.085
parking infrastructure in Maricopa
County. Uh This project has only

00:29:14.118 --> 00:29:17.805
recently started so I don't have some
results related to necessarily heat

00:29:17.838 --> 00:29:21.847
, but I have some potential strategies
or potential ideas that we can move

00:29:21.880 --> 00:29:26.416
forward. So, um why and how I'm gonna
get into that really quick? Um Why

00:29:26.449 --> 00:29:31.946
basically parking is uh a strong
influence on urban form and vice versa.

00:29:31.979 --> 00:29:35.686
So there's a very, there's a lot of
interest in kind of quantifying how

00:29:35.719 --> 00:29:39.575
many parking spaces there are in the
region to, to see how that influences

00:29:39.608 --> 00:29:43.196
urban form, which ultimately
influences heat. And there's also extremely

00:29:43.229 --> 00:29:46.555
limited knowledge on the amount of
parking we have not just in Maricopa

00:29:46.588 --> 00:29:50.946
County, but all around there is
usually very few studies that look at kind

00:29:50.979 --> 00:29:55.736
of where parking is, how much parking
there is and why it is there. And

00:29:55.769 --> 00:29:58.805
then finally, once we have uh a
quantification of how much there is, we'll

00:29:58.838 --> 00:30:02.045
be able to look at some potential heat
mitigation strategies. Um So how

00:30:02.078 --> 00:30:05.936
we're doing this um looking at
basically taking um the assessor's database

00:30:05.969 --> 00:30:11.627
, um parcel data and then um property
use codes and then cross referencing

00:30:11.660 --> 00:30:15.416
that with parking codes by the
different municipalities. So for example,

00:30:15.449 --> 00:30:18.486
um commercial building in Phoenix
might have a different requirement of

00:30:18.519 --> 00:30:21.706
parking spaces in a commercial
building in Tempe. Um, you know, there

00:30:21.739 --> 00:30:26.897
might be a requirement of one space
for 300 square feet of, um, floor

00:30:26.930 --> 00:30:30.217
space or, or et cetera. And then by
combining these, we'll be able to

00:30:30.250 --> 00:30:33.035
estimate off street parking. And then
next, we'll also want to look at, uh

00:30:33.068 --> 00:30:35.305
, on street parking. So I'm just gonna
show some of the quick preliminary

00:30:35.338 --> 00:30:38.496
results. This doesn't have to do with
heat per se. This is just

00:30:38.529 --> 00:30:41.936
quantification of where parking is in.
Um, Maricopa County. This is the

00:30:41.969 --> 00:30:46.446
zoomed in um, kind of urban area. And
so you can see we're kind of right

00:30:46.479 --> 00:30:50.137
there in the middle and a lot, not
surprisingly, uh, the highest density

00:30:50.170 --> 00:30:54.176
of parking is in downtown Phoenix. But
you also see, um, some kind of

00:30:54.209 --> 00:30:58.295
patches that are kind of higher
density, um, all around the region and

00:30:58.328 --> 00:31:02.315
those are usually, um, you know,
parking or, um, high density parking, um

00:31:02.348 --> 00:31:09.357
, commercial malls and, um, mixed use
areas. And then, uh, a lot of the

00:31:09.390 --> 00:31:12.347
parking also kind of the density of
parking also follows some of the

00:31:12.380 --> 00:31:15.926
highways. Um, so, you know, easy
access for people getting right off the

00:31:15.959 --> 00:31:21.825
highway to access, uh, all different
types of commercial areas. And so

00:31:21.858 --> 00:31:27.387
basically, the next steps for this
analysis is once we've, um, quantified

00:31:27.420 --> 00:31:30.666
on street parking, we'll be able to
combine off street on street parking,

00:31:30.699 --> 00:31:35.226
look at the distribution of parking in
the region and then inspect, um,

00:31:35.259 --> 00:31:40.946
kind of where um how parking might
relate to high quality transit. Um So

00:31:40.979 --> 00:31:45.617
we're interested in that because uh
thermal environment might increase um

00:31:45.650 --> 00:31:48.867
due to different kinds of pavements.
And, um you know, when we're

00:31:48.900 --> 00:31:52.456
concerned about heat exposure and
people's thermal comfort, um we wanna

00:31:52.489 --> 00:31:56.526
make sure that that's lower in, in
transit areas preferably. And then also

00:31:56.559 --> 00:31:59.906
look at uh the historical analysis of
parking trends, this is related to

00:31:59.939 --> 00:32:03.397
urban form and see how urban form
relates to the development of parking in

00:32:03.430 --> 00:32:07.147
the region and also how parking might
influence urban form. And then

00:32:07.180 --> 00:32:10.656
finally, we'll be able to look at
mitigation strategies um such as cool

00:32:10.689 --> 00:32:14.186
pavements, increasing albedo um and
possibly even changing parking

00:32:14.219 --> 00:32:22.219
requirements in the region. And
that's, that's all I have. So.

00:32:24.259 --> 00:32:28.377
Ok, so hopefully I get this last name
right. So next up, we have Jeff

00:32:28.410 --> 00:32:36.410
Stenar Club. Sorry. All right, go
ahead. Alright. Thank you, Ray again. My

00:32:36.989 --> 00:32:42.127
name is Jeff Stemper. I'm a senior
engineer with uh N CE and also uh a

00:32:42.160 --> 00:32:47.585
faculty member that supports the
School of Sustainability and at Su and

00:32:47.618 --> 00:32:51.147
the National Center of Excellence for
Smart Innovations, our lab at the,

00:32:51.180 --> 00:32:54.426
at the university. So I'm gonna talk
to you about pavements and the urban

00:32:54.459 --> 00:32:57.756
heat island effect. And this is a
really good uh Chris really led into

00:32:57.789 --> 00:33:01.795
this nicely because you'll see how
selection of materials on projects

00:33:01.828 --> 00:33:07.226
around the city or urban areas can
actually impact uh what effects you see

00:33:07.259 --> 00:33:10.467
in terms of urban Heat island,

00:33:10.500 --> 00:33:13.406
I guess you can just start out with
questions is, you know, you're looking

00:33:13.439 --> 00:33:16.825
at this from a big perspective is how
do you evaluate it? How do you even

00:33:16.858 --> 00:33:21.176
start to evaluate uh what are the
driving factors? Uh You look at the

00:33:21.209 --> 00:33:24.295
engineering properties and materials
in the sciences? Uh do the physical

00:33:24.328 --> 00:33:28.686
and thermal properties and materials
even matter or should we just uh look

00:33:28.719 --> 00:33:33.295
for white surfaces everywhere? Uh
There's many different questions. Uh You

00:33:33.328 --> 00:33:36.426
guys will have these slides so you can
look at them and potentially this

00:33:36.459 --> 00:33:39.887
will generate some discussion for
after the presentation here. And then

00:33:39.920 --> 00:33:44.387
what tools and models are out there?
How can we do this some ways to, I

00:33:44.420 --> 00:33:47.776
just want to present a few ways of how
we would even evaluate these is one

00:33:47.809 --> 00:33:50.916
of the big ones you'll probably see
everywhere is the the aster the mal

00:33:50.949 --> 00:33:54.206
imaging. This is satellite imaging.
I'll show you pictures in the next

00:33:54.239 --> 00:33:58.926
slide. Another example is what was
done. What we did before was mobile uh

00:33:58.959 --> 00:34:03.097
measurements around the city of
Phoenix with a truck with equipment on it.

00:34:03.130 --> 00:34:06.006
Uh We have laboratory testing
capabilities to actually measure the

00:34:06.039 --> 00:34:11.686
properties of materials. Uh The other
images uh on the top right is an

00:34:11.719 --> 00:34:15.845
image in downtown Chicago with a
thermal imaging camera. Uh One of the

00:34:15.878 --> 00:34:18.807
researchers actually did a study rode
around in a police helicopter and

00:34:18.840 --> 00:34:21.905
took these images. But you can see the
the yellow, the hot areas, the

00:34:21.938 --> 00:34:26.066
pavement surfaces, the some portions
of the building. And another way is

00:34:26.099 --> 00:34:29.166
to actually embed sensors and
pavements where we can take measurements of

00:34:29.199 --> 00:34:31.776
the temperatures.

00:34:31.809 --> 00:34:35.997
So when you start looking at here,
these pictures really started this

00:34:36.030 --> 00:34:39.327
initiative in terms of the impacts of
pavements is if you look on the left

00:34:39.360 --> 00:34:43.077
image, this is uh during the daytime,
the images and you see the yellow is

00:34:43.110 --> 00:34:48.365
the hottest color. The hottest areas
around the city are the the rock

00:34:48.398 --> 00:34:54.256
formation, South Mountain camel back
the airport downtown. But then what

00:34:54.289 --> 00:34:59.075
really brought this into light is look
at the nighttime temperature, ok?

00:34:59.108 --> 00:35:03.967
You look at the night time and you
still see areas that uh I guess what,

00:35:04.000 --> 00:35:07.586
what's the biggest areas you see here
that are still red. This is at 11

00:35:07.619 --> 00:35:12.287
o'clock at night as you see again,
camel back area the airport, but you

00:35:12.320 --> 00:35:16.396
start to see the city streets uh light
up. So you see that pavements do

00:35:16.429 --> 00:35:22.247
have an impact on uh retaining that
heat at night time.

00:35:22.280 --> 00:35:25.916
There's a lot of news media coverage
out there about painting surfaces

00:35:25.949 --> 00:35:30.146
white and this does have valid imp
impacts, especially in terms of looking

00:35:30.179 --> 00:35:34.517
at rooftops on buildings. However,
when you start to look at pavements is

00:35:34.550 --> 00:35:38.736
we're physically on these surfaces,
we're not on the rooftops necessarily.

00:35:38.769 --> 00:35:44.336
So now we have an effect of uh
reflective surfaces, uh human factors that

00:35:44.369 --> 00:35:48.175
come into play in selection of these
material properties. So the big

00:35:48.208 --> 00:35:51.675
takeaway here is that when you're
looking at pavement materials, it's not

00:35:51.708 --> 00:35:56.486
just a black and white answer is
there's many factors to be considered and

00:35:56.519 --> 00:36:00.997
also the application of those
pavements and materials uh play a big role

00:36:01.030 --> 00:36:03.276
in that.

00:36:03.309 --> 00:36:06.405
Here's a, here's a, I'm gonna give you
guys a couple of examples is this

00:36:06.438 --> 00:36:10.416
is the highway 101. If you look in the
lower box, uh actually I'm gonna

00:36:10.449 --> 00:36:13.365
start with the upper box as you see
that there's not a lot of red showing

00:36:13.398 --> 00:36:18.876
up in that area. Ok. What, what? So
again, and then you look in the lower

00:36:18.909 --> 00:36:22.046
box and you see there is a lot of red.
So what's the difference here? Ok.

00:36:22.079 --> 00:36:26.577
Same pavement surface is the upper box
is what you notice in this picture

00:36:26.610 --> 00:36:30.666
is this is some of the open areas, ok?
There's open land to the, to the

00:36:30.699 --> 00:36:34.767
right of the image and to the left. So
you have uh more wind moving

00:36:34.800 --> 00:36:38.456
through that pavement surface can cool
faster. Uh the pavement in the

00:36:38.489 --> 00:36:43.586
south or the lower box is actually uh
some of the areas is the depressed

00:36:43.619 --> 00:36:47.836
interstate. So there's uh concrete
walls that depress that pavement where

00:36:47.869 --> 00:36:51.247
we go under overpasses or that's
what's required. You could see the

00:36:51.280 --> 00:36:54.436
impacts of it's not just the pavement
surface, it's the same concrete

00:36:54.469 --> 00:36:56.845
surface.

00:36:56.878 --> 00:37:00.287
Ok. Now you saw actually back in that
other images, you're looking at a

00:37:00.320 --> 00:37:03.876
white concrete pavement. Now you look
at this image and you say, OK, now

00:37:03.909 --> 00:37:08.256
this is surface with asphalt. It was
the uh open graded friction courses

00:37:08.289 --> 00:37:12.217
or the, the quiet pavement technology
that's around the valley. And this

00:37:12.250 --> 00:37:14.956
kind of contradicts what I just said
is you have a black surface, you

00:37:14.989 --> 00:37:19.796
would expect it to be hotter and you
have AAA Canyon effect where it's a

00:37:19.829 --> 00:37:25.146
depressed freeway. So now if you look
at the images that it's actually uh

00:37:25.179 --> 00:37:29.586
less red than to the north, which is
around Metro Center, right? So now

00:37:29.619 --> 00:37:32.186
it's, you're contradicting what we
just said in terms of the color of the

00:37:32.219 --> 00:37:35.876
pavement, the type of materials, we
think that asphalt pavements absorb a

00:37:35.909 --> 00:37:40.997
lot of uh uh heat because they're
black and in some cases, they do in some

00:37:41.030 --> 00:37:43.736
cases they don't.

00:37:43.769 --> 00:37:48.336
OK. In terms of the la la laboratory
evaluations in our, our laboratory is

00:37:48.369 --> 00:37:53.287
we've uh pioneered some testing
procedures uh different ways to test

00:37:53.320 --> 00:37:58.977
materials and see how they retain
heat, how they release heat. Uh At the

00:37:59.010 --> 00:38:02.666
university. We also have full scale
test sections that were constructed of

00:38:02.699 --> 00:38:07.445
different materials that have been
used by a su by uh Princeton, by the US

00:38:07.478 --> 00:38:12.236
Army to study the effects of different
uh uh say moisture, different

00:38:12.269 --> 00:38:16.066
things on heat released from
pavements.

00:38:16.099 --> 00:38:19.626
And uh one thing I guess to take away
on two on this side is that you'll

00:38:19.659 --> 00:38:23.546
see a lot of students is that we do
all have an obligation uh as, as

00:38:23.579 --> 00:38:30.925
practitioners, as researchers to
instill this uh this uh idea into the

00:38:30.958 --> 00:38:35.267
next generation of, of students and uh
people working in this industry and

00:38:35.300 --> 00:38:39.776
you'll see students involved. Uh
Here's an example of the test sections.

00:38:39.809 --> 00:38:44.356
We had artificial turf, asphalt
concrete, uh Portland, cement concrete,

00:38:44.389 --> 00:38:47.686
and we even had gravel that you see
around the buildings around Phoenix

00:38:47.719 --> 00:38:51.865
and looked at measured the
temperatures. So that was just a brief

00:38:51.898 --> 00:38:55.686
introduction of uh how materials can
impact this decision and, and some

00:38:55.719 --> 00:39:02.146
contact information. So, thank you.

00:39:02.179 --> 00:39:06.666
All right now. So we're gonna take 10
minutes um to discuss among you,

00:39:06.699 --> 00:39:10.885
what you think the th these at these
things that you've learned today

00:39:10.918 --> 00:39:14.807
could be applied to the, to the
projects or to the work that you do. And

00:39:14.840 --> 00:39:18.706
if you, you really have some important
question, you can go ahead and ask

00:39:18.739 --> 00:39:22.727
that too, but we're focused on
discussion. And what we'd like to do is

00:39:22.760 --> 00:39:26.166
Jennifer has a microphone, we're gonna
try to pass it around. But if

00:39:26.199 --> 00:39:28.756
Jennifer's on that side of the room
and you're on this side of the room

00:39:28.789 --> 00:39:31.885
and you really need to go, just go
ahead and make your question and I'll

00:39:31.918 --> 00:39:36.227
repeat it into the mic. So who's
first? We have it right back here? No, no.

00:39:36.260 --> 00:39:40.767
Oh, we gave careful. So if you want to
contribute to the discussion now,

00:39:40.800 --> 00:39:45.247
you know, I know some of you and so
not all of you, but I know some of you

00:39:45.280 --> 00:39:48.106
and if I know you and we don't get any
questions, I'm gonna start picking

00:39:48.139 --> 00:39:52.077
on you. So, so you, you need to get
your neighbor to ask questions. So

00:39:52.110 --> 00:39:58.037
with questions, comments, mostly
comments.

00:39:58.070 --> 00:40:05.425
OK? Thanks Martin.

00:40:05.458 --> 00:40:09.756
Just going back to this. I mean, it
looked like on um, certainly um Billy

00:40:09.789 --> 00:40:14.497
Turner's research around where we can,
where we should put our, we want to

00:40:14.530 --> 00:40:17.816
actually make everyone within a five
minute walk of a park or open space.

00:40:17.849 --> 00:40:21.135
And so if we could actually pick where
should those park, if there's a

00:40:21.168 --> 00:40:25.256
good overlap between where we could do
that and where it would actually

00:40:25.289 --> 00:40:28.095
make accessible. So places there
aren't parks currently but where we could

00:40:28.128 --> 00:40:31.816
put a park and it would also help in
cooling, I think uh looking at that.

00:40:31.849 --> 00:40:36.566
So just understanding better your the
conclusion of your research, uh if

00:40:36.599 --> 00:40:41.166
you could just speak to that about
where if we actually can map where we

00:40:41.199 --> 00:40:47.750
need to put uh spaces, cooling spaces
in order to cool the city as a whole.

00:40:47.909 --> 00:40:49.909
Well, I guess the lesson was, go ahead, go ahead. We can hear you. Go

00:40:52.688 --> 00:40:54.865
ahead.

00:40:54.898 --> 00:40:59.115
Yeah, he, he's loud though. So there
we are. So the lesson. Can you hear

00:40:59.148 --> 00:41:05.365
that the lesson would be that, that it
does matter in, in, in, in that one

00:41:05.398 --> 00:41:09.695
study. I show you it does matter where
you put them and So you are going

00:41:09.728 --> 00:41:14.467
to get more robust or less robust
results, apropos the cooling that you

00:41:14.500 --> 00:41:19.776
want depending upon the patterning and
the number right that you use. If

00:41:19.809 --> 00:41:24.865
you say I'm only gonna put them where
we have access to parks, you know,

00:41:24.898 --> 00:41:28.747
I'm gonna green the parks and
understand these have to be greened, they

00:41:28.780 --> 00:41:33.206
can't be dead grass, that's not gonna
give you the results. But if you had

00:41:33.239 --> 00:41:39.307
greening um And you, and you said, OK,
what is the biggest bang for the

00:41:39.340 --> 00:41:44.816
buck? We have the optimization models
that would provide given the number

00:41:44.849 --> 00:41:48.845
of parks that you have and where you
could place them, which ones would

00:41:48.878 --> 00:41:54.986
give you for a particular area of
town? Uh the biggest bang for the buck.

00:41:55.019 --> 00:42:03.019
So, oh we have, go ahead.

00:42:03.329 --> 00:42:07.106
So maybe this is even a question for
Chuck, you guys and you'll probably

00:42:07.139 --> 00:42:11.566
do this, you're all doing separate
projects. One of the challenges we have

00:42:11.599 --> 00:42:16.646
as I'm with Vital Health Foundation
trying to work with uh A SU is you're

00:42:16.679 --> 00:42:21.537
all doing separate projects, you're
not working with each other. So is

00:42:21.570 --> 00:42:25.986
there some as you're working on this,
is there some kind of networking

00:42:26.019 --> 00:42:31.267
among the researchers? Uh because part
of the problem is trying to even

00:42:31.300 --> 00:42:35.267
sort out everything that's going on at
A SU. And our sense is you're not

00:42:35.300 --> 00:42:39.967
collaborating with each other,
Suzanne. Uh you should have introduced the

00:42:40.000 --> 00:42:44.247
morning session then I mean, this is,
this is an issue. This is an issue

00:42:44.280 --> 00:42:50.405
for us among our a su for sure. Uh And
it has to be mystifying to someone

00:42:50.438 --> 00:42:55.385
outside a su as well as frustrating.
Uh That's what we're here all about.

00:42:55.418 --> 00:43:00.385
Um Melissa Daro, who you'll hear later
about. This is her dissertation is

00:43:00.418 --> 00:43:06.066
how can we build a platform for better
collaboration and intergroup

00:43:06.099 --> 00:43:10.517
knowledge? So this is what we're about

00:43:10.550 --> 00:43:12.836
David

00:43:12.869 --> 00:43:16.615
and, and we've, there's a new center
that David Saylor is the director of

00:43:16.648 --> 00:43:21.376
for Urban Climate Research. Uh And we,
we're going to place our data

00:43:21.409 --> 00:43:24.756
sources and the links to the things
that happened this morning on that

00:43:24.789 --> 00:43:29.827
site as a partial encouragement among
us and among you to have a go to

00:43:29.860 --> 00:43:36.816
point, can I ask a question? I know
I'm not from Phoenix, Jeff. I was

00:43:36.849 --> 00:43:41.956
around 10 years ago. We poured a
permeable pavement parking lot at the Art

00:43:41.989 --> 00:43:46.695
Center at a su and I thought it was
great and why aren't all of our

00:43:46.728 --> 00:43:50.336
parking lots permeable pavement? Why
aren't all of our new freeways this

00:43:50.369 --> 00:43:56.719
asphalt that's cooler and quieter
where wherever you are there, you are.

00:43:58.958 --> 00:44:00.958
That's a great question. And actually the parking lot at the Art Center,

00:44:03.128 --> 00:44:07.057
uh our team just took a look at it and
it, there's a lot of concern that

00:44:07.090 --> 00:44:10.186
these Permal pavements don't survive
and it's actually looks in great

00:44:10.219 --> 00:44:14.686
shape. If you do look at it, one of
the areas that doesn't look in good

00:44:14.719 --> 00:44:18.827
shape was actually a construction
defect. So we'll blame it on that. But

00:44:18.860 --> 00:44:23.577
that is a great question of, of why uh
the other complicating factor is

00:44:23.610 --> 00:44:29.017
that there's challenges with pavements
after they're constructed is that

00:44:29.050 --> 00:44:35.615
they change colors, they deteriorate,
they fill in with debris. And so

00:44:35.648 --> 00:44:38.967
there's still a lot of unknown there.
But that's a good question is that

00:44:39.000 --> 00:44:44.086
there should be more permeable parking
lots pavements, but there, there's

00:44:44.119 --> 00:44:47.816
an application for them. You can't
just blanket statements say that we

00:44:47.849 --> 00:44:50.986
should put permeable pavements
everywhere because what our research has

00:44:51.019 --> 00:44:54.807
shown is they're extremely hot during
the day, but they cool off a lot at

00:44:54.840 --> 00:44:57.856
night time, they cool off quicker. So
those morning temperatures that you

00:44:57.889 --> 00:45:00.675
talked about in your introduction
statement is cooler in the morning,

00:45:00.708 --> 00:45:08.708
they're releasing that heat a lot
quicker than traditional pavements. So

00:45:08.728 --> 00:45:12.217
that question, I think, uh oh,

00:45:12.250 --> 00:45:17.997
so potentially uh hubs could be a
proverbial fly in the ointment because

00:45:18.030 --> 00:45:23.896
they can fill in the pores. A re there
m current methods to think about

00:45:23.929 --> 00:45:28.497
how to minimise the effect if, if
we're talking, if we're extending the

00:45:28.530 --> 00:45:35.396
discussion on permeable surfaces.

00:45:35.429 --> 00:45:39.217
Ok. Yeah, there are, there are ways,
uh they can fill in, they can also be

00:45:39.250 --> 00:45:43.135
washed out. There's methods to, they
have, there's ways to clean them out.

00:45:43.168 --> 00:45:48.467
Uh Perme pavements have been used
traditionally for stormwater mitigation.

00:45:48.500 --> 00:45:51.486
There's a benefit there and that's
where the fill in starts to cause

00:45:51.519 --> 00:45:55.517
issues is you, you, you slow the storm
water mitigation, but in terms of

00:45:55.550 --> 00:46:00.316
heat uh dispersion, uh that's not, I
don't, we don't have too much

00:46:00.349 --> 00:46:04.586
background on that, but it is
effective. We know that.

00:46:04.619 --> 00:46:10.606
OK. So I had, I had a question or a
comment suggestion over here. So I was

00:46:10.639 --> 00:46:13.666
actually kind of fascinated by the one
presentation and like in all of

00:46:13.699 --> 00:46:16.595
them, in the sense that because
there's a lot of interconnection between

00:46:16.628 --> 00:46:20.365
all of them, but specifically, the one
I forget which John, I think it was

00:46:20.398 --> 00:46:22.896
the second presentation where they
were talking about the different forms

00:46:22.929 --> 00:46:26.916
of building types, right? The density
between them, the irregular shapes,

00:46:26.949 --> 00:46:30.615
the and the impacts it had between the
land surface temperature at night

00:46:30.648 --> 00:46:34.217
time and during the daytime and all
that kind of good stuff because the

00:46:34.250 --> 00:46:39.236
city um in uh just east of downtown is
currently working on the potential

00:46:39.269 --> 00:46:43.736
of redeveloping um a significant
portion of the neighborhood. And when I

00:46:43.769 --> 00:46:46.905
kinda think about sort of and, you
know, and it is an area which based

00:46:46.938 --> 00:46:52.296
upon past research is a heat island
area for the city. Um And sort of like

00:46:52.329 --> 00:46:55.486
it, it in a way it sort of like draws
in upon all of the research that all

00:46:55.519 --> 00:47:01.126
of um you all are doing of, you know,
we have of course, a challenge of,

00:47:01.159 --> 00:47:04.186
you know, there's a certain number of
new units that need to be built and

00:47:04.219 --> 00:47:06.936
all that kind of stuff, there's green
space considerations that need to be

00:47:06.969 --> 00:47:11.646
put in here. Um and there'll be new
roads and new streets um as well as in

00:47:11.679 --> 00:47:15.166
terms of sort of the building
typologies um that will be utilized and sort

00:47:15.199 --> 00:47:20.506
of how are those actually arranged or
designed or set up? Um sort of based

00:47:20.539 --> 00:47:22.977
upon the research that's been
happening. Well, well, well, if you sort of

00:47:23.010 --> 00:47:26.345
stagger the buildings, like, you know,
you are able to mitigate heat a

00:47:26.378 --> 00:47:30.365
little bit more. Um uh Not that I,
and, and in some ways, I kind of feel

00:47:30.398 --> 00:47:34.236
like I wish there were answers were
there already because, you know, we're

00:47:34.269 --> 00:47:38.666
kind of, you know, time is not on our
side to help, make, help inform

00:47:38.699 --> 00:47:42.017
these kinds of decisions. But, um but
yeah, so I was just kind of, you

00:47:42.050 --> 00:47:46.106
know, that this is clearly an area
where you have an opportunity for large

00:47:46.139 --> 00:47:49.736
scale redevelopment in an urban
setting, right? Versus sort of looking at

00:47:49.769 --> 00:47:53.675
how you could do new development, you
know, on the outskirts of town, um

00:47:53.708 --> 00:47:58.646
to really have an impact upon sort of
the heat, urban heat issue in

00:47:58.679 --> 00:48:02.077
Phoenix. So that, that's a good point.
So how many of you in the room are

00:48:02.110 --> 00:48:07.026
currently involved in the design or a
building? Uh a construction of a

00:48:07.059 --> 00:48:11.046
building or a parking lot or a green
space area? Go ahead, raise your hand

00:48:11.079 --> 00:48:15.727
, but there's you and keep it up, keep
it up keep your hands up and how

00:48:15.760 --> 00:48:21.546
many of you were involved in the
management and maintenance of a scape or

00:48:21.579 --> 00:48:25.756
building or Parker area? Ok. So that,
that's a very large percentage of

00:48:25.789 --> 00:48:28.037
you in the room. So there are a number
of you in the room who these

00:48:28.070 --> 00:48:32.416
concepts would be applicable to in
terms of the daily work that you do. Ok.

00:48:32.449 --> 00:48:35.675
So we're gonna, we're gonna move on
topic and we're gonna shift a little

00:48:35.708 --> 00:48:39.655
bit away from buildings and
temperatures and we're gonna move to uh

00:48:39.688 --> 00:48:44.086
thermal comfort and health where we're
focused more on people and less on

00:48:44.119 --> 00:48:49.787
buildings. And to start us off is
gonna be Ariana Middle who is uh with

00:48:49.820 --> 00:48:53.905
the school, geographical Sciences. Um
I mean, the Department of Geography

00:48:53.938 --> 00:48:56.977
and Urban Studies at Temple
University. OK. So Temple University, that's

00:48:57.010 --> 00:49:00.736
not a su all of you are saying, wait a
minute, I thought this was a su

00:49:00.769 --> 00:49:05.967
Ariana is a su she, she's been with us
for a number of years and continues

00:49:06.000 --> 00:49:11.217
to work with us as we go forward. So
Ariana, go ahead. Thanks Ray. Um Yeah

00:49:11.250 --> 00:49:15.537
, so um I joined a SU in 2009 as a
postdoc actually with the decision

00:49:15.570 --> 00:49:19.827
center for Desert City and I just
recently six weeks ago joined Temple um

00:49:19.860 --> 00:49:25.026
university. Um but I'm still here. So
my research is at the intersection

00:49:25.059 --> 00:49:29.885
of the um previous uh session uh which
dealt with urban form and the

00:49:29.918 --> 00:49:33.736
upcoming session uh which is uh about
thermal comfort. So I'm specifically

00:49:33.769 --> 00:49:37.827
interested in how you can use urban
form to improve thermal comfort. So

00:49:37.860 --> 00:49:41.186
how can you use the arrangement of
buildings and, and types of trees and

00:49:41.219 --> 00:49:46.606
things to improve comfort um in the
city? So just as a quick recap, so

00:49:46.639 --> 00:49:49.606
we've heard about urban form before
and we had a really great summary of

00:49:49.639 --> 00:49:54.756
urban form by um I excuse me, I don't
know your name. Um Yeah, so, so when

00:49:54.789 --> 00:49:57.945
I uh speak about urban form, I mean,
the physical characteristics of a

00:49:57.978 --> 00:50:01.566
city. So that includes uh how you
arrange buildings, what type of

00:50:01.599 --> 00:50:05.296
buildings you use, the the height of
the buildings, the materials, if it's

00:50:05.329 --> 00:50:09.256
a steel construction or, or a glass
building, um how you space out those

00:50:09.289 --> 00:50:12.936
buildings, how, how wide your roads
are, how many lanes they have. Um how

00:50:12.969 --> 00:50:16.336
many trees you plant, what type of
trees, how you arrange those trees if

00:50:16.369 --> 00:50:20.316
you use state shade structures. So all
of these things um define urban

00:50:20.349 --> 00:50:25.135
form and we, as we design cities um
build this urban forum and the way we

00:50:25.168 --> 00:50:29.706
build this uh that actually impacts
urban climate, all kinds of variables.

00:50:29.739 --> 00:50:31.865
We heard about air temperature,
surface temperature, the amount of

00:50:31.898 --> 00:50:34.856
radiation that that comes into the
city, all these things. So it's

00:50:34.889 --> 00:50:40.227
basically the way we build cities
impacts um the local climate in those

00:50:40.260 --> 00:50:43.445
cities. I mean, I would like to give
you a very specific urban form

00:50:43.478 --> 00:50:48.365
example. Um that's trees. Um The city
of Phoenix has a major uh policy, a

00:50:48.398 --> 00:50:52.736
document that specifically addresses
heat in the city. And that's the um

00:50:52.769 --> 00:50:57.736
tree and shade master plan um which
sets a goal for a 25% tree canopy

00:50:57.769 --> 00:51:02.816
cover in the city of Phoenix by 2030.
Um and I conducted a uh assessment

00:51:02.849 --> 00:51:07.057
of uh of this goal uh two years ago
with a group of people and we used a

00:51:07.090 --> 00:51:11.256
microclimate model and we uh we
designed a residential neighborhood. We

00:51:11.289 --> 00:51:15.905
virtually planted 25% trees in this
neighborhood. And we found that in the

00:51:15.938 --> 00:51:20.646
afternoon, this leads to a 3.5 °F
cooling in this neighborhood. So now

00:51:20.679 --> 00:51:23.615
these results should not be scaled up
to the whole city. They only refer

00:51:23.648 --> 00:51:28.586
to this particular residential
neighborhood. But uh imagine now it's um

00:51:28.619 --> 00:51:32.706
100 and 17 degrees in the city. OK. So
we get three degrees cooling. It's

00:51:32.739 --> 00:51:36.865
100 and 14. Does it make it
comfortable? I don't know, I don't think 100

00:51:36.898 --> 00:51:40.925
and 14 °F sounds very comfortable. And
that's actually a specific goal in

00:51:40.958 --> 00:51:44.376
the plan that says uh we envision
residential neighborhoods that a re tree

00:51:44.409 --> 00:51:48.756
growth, that a re cool and
comfortable. Yet when I'm under a tree, I feel

00:51:48.789 --> 00:51:53.456
much better than if I'm out in the
sun. So um this means that if you only

00:51:53.489 --> 00:51:57.615
look at air temperature, you're
missing parts of the story. Uh when you're

00:51:57.648 --> 00:52:03.595
talking about how people feel in the
city. Um, so let's do a quick survey.

00:52:03.628 --> 00:52:07.106
 So, uh we have 75.6

00:52:07.139 --> 00:52:11.217
°F in this room right now. This is a
nine point scale one is very cold.

00:52:11.250 --> 00:52:14.615
Nine is very hot. I assume nobody is
very cold or very hot. So maybe let's

00:52:14.648 --> 00:52:18.396
start with category number three,
which is cool. So, raise your hand. Is

00:52:18.429 --> 00:52:24.376
anybody cool right now? Wow, that's a
lot of people um who feels uh

00:52:24.409 --> 00:52:27.227
slightly cool.

00:52:27.260 --> 00:52:30.967
Oh, that's a lot of people too uh
neutral, who's I I would be neutral

00:52:31.000 --> 00:52:36.146
right now. Okay. Um Who feels slightly
warm?

00:52:36.179 --> 00:52:39.936
One person?

00:52:39.969 --> 00:52:45.436
So anybody warm or hot? Probably not.
Um So you see we're all exposed to

00:52:45.469 --> 00:52:52.526
the same air temperature which is 75
°F. Yet uh people feel different. Um

00:52:52.559 --> 00:52:56.717
And that's why um there is a, there is
a definition for thermal comfort

00:52:56.750 --> 00:52:59.086
that's in the Ashray standard. It says
that thermal comfort is the

00:52:59.119 --> 00:53:03.477
condition of mind that expresses
satisfaction with the thermal environment

00:53:03.510 --> 00:53:07.276
and, and the most important piece
here, it's a subjective evaluation. So

00:53:07.309 --> 00:53:11.296
it will be different for each and
every person. Um There are a couple of

00:53:11.329 --> 00:53:14.445
variables that um make up your thermal
comfort. Some of them you can

00:53:14.478 --> 00:53:17.747
measure these a re the environmental
factors such as air temperature, um

00:53:17.780 --> 00:53:20.517
mean rate and temperature. I'll get to
this in a second. What that is uh

00:53:20.550 --> 00:53:24.345
wind speed. Humidity. So, so if it's
monsoon season and it's very humid

00:53:24.378 --> 00:53:28.497
out, you might feel less comfortable.
Although it's the sa me temperature

00:53:28.530 --> 00:53:32.280
than when it's dry. So, so, so
humidity plays with role. Um, but then

00:53:32.313 --> 00:53:35.662
there are personal factors and they
are different for each and every

00:53:35.695 --> 00:53:39.260
person. So there's the metabolic rate.
That means how active are you, are

00:53:39.293 --> 00:53:42.611
you riding a bike right now or are you
sitting under a tree? So depending

00:53:42.644 --> 00:53:46.280
on your activity level, you might feel
more or less comfortable and uh

00:53:46.313 --> 00:53:49.901
your clothing, uh depending on how
you're dressed, might, might, might

00:53:49.934 --> 00:53:53.807
change how comfortable you feel. And
then also psychological factor. So

00:53:53.840 --> 00:53:57.977
there a re studies that show if you
actually want to be in a place AAA

00:53:58.010 --> 00:54:01.856
particular time and um you actually
feel more comfortable than if you

00:54:01.889 --> 00:54:06.385
don't wanna be in a particular place.
So all of these factors play into

00:54:06.418 --> 00:54:11.436
how comfortable you would feel. Um And
there are certain ways you can uh

00:54:11.469 --> 00:54:15.675
measure actually how comfortable you
feel. So one is you have to actually

00:54:15.708 --> 00:54:19.206
like I just did ask people, so how
comfortable are you on a scale from 1

00:54:19.239 --> 00:54:23.717
to 1 to 9? Um And then all these um
environmental factors that I talked

00:54:23.750 --> 00:54:27.945
about, you can measure um there is
this uh globe thermometer device, it

00:54:27.978 --> 00:54:31.497
has a black Globe and this globe
pretends to be a human body. It's

00:54:31.530 --> 00:54:36.236
collecting all the radiation that that
hits the body from 360 degrees. So

00:54:36.269 --> 00:54:39.405
that includes the solar radiation from
the sun, uh the heat that's emitted

00:54:39.438 --> 00:54:43.057
from warm surfaces, all of these
things. Um So this device can measure

00:54:43.090 --> 00:54:46.557
this, it's called globe temperature
and that can be translated into mean

00:54:46.590 --> 00:54:50.095
radiant temperature. And that's
basically the sum of all the surface

00:54:50.128 --> 00:54:53.646
temperatures that a re surrounding
you. And then there is the uh mean

00:54:53.679 --> 00:54:57.425
radiant temperature cart that I built.
Um that's a little bit more

00:54:57.458 --> 00:55:01.606
sophisticated and, and it, it measures
all the radiation components in all

00:55:01.639 --> 00:55:04.615
directions and gives you an integrated
value for the mean rate and

00:55:04.648 --> 00:55:08.945
temperature. Um So these a re ways to
measure thermal comfort or mean RN

00:55:08.978 --> 00:55:14.057
temperature. And we conducted a study
um a t the uh mu um two years ago uh

00:55:14.090 --> 00:55:18.767
where we uh measured thermal comfort
with this um device. And we conducted

00:55:18.800 --> 00:55:21.307
surveys and we asked people, so how
comfortable do you feel on a scale

00:55:21.340 --> 00:55:26.166
from 1 to 9? And we found that people
who were under the shade structure

00:55:26.199 --> 00:55:30.945
or who were under trees felt one point
more comfortable on the nine point

00:55:30.978 --> 00:55:35.506
scale that I showed you previously. Um
So that means that um shade

00:55:35.539 --> 00:55:38.925
improves your thermal comfort by one
point and out of all the variables

00:55:38.958 --> 00:55:41.787
that we measured air temperature,
surface temperature, wind speed,

00:55:41.820 --> 00:55:46.256
humidity. The radiation component was
the biggest driver of thermal

00:55:46.289 --> 00:55:49.885
comfort. So that means that shade is
really the variable that determines

00:55:49.918 --> 00:55:52.836
if you're comfortable or not even more
than air temperature. And that

00:55:52.869 --> 00:55:58.405
really highlights the importance of
shade in the city. Um So I have been

00:55:58.438 --> 00:56:02.807
uh pulling around this cart that I
built um across various areas and here

00:56:02.840 --> 00:56:05.905
are just some examples for research
questions that I'm addressing with

00:56:05.938 --> 00:56:11.506
this car. Um So I'm investigating for
one, what, what uh what combination

00:56:11.539 --> 00:56:16.570
is best um in terms of uh surface type
and shade cover. So is it better to

00:56:16.603 --> 00:56:19.602
have a tree over grass? Is it better
to have a tree over concrete? Is it

00:56:19.635 --> 00:56:22.901
better to have sun exposed grass? So
all of these different variations,

00:56:22.934 --> 00:56:27.111
I'm measuring with the card to see how
this impacts the the measurable

00:56:27.144 --> 00:56:32.622
thermal comfort. Um I'm also um
investigating different shade types. Um So

00:56:32.655 --> 00:56:37.981
that's the 50 grades of shade study.
Um So I I have uh measured shade

00:56:38.014 --> 00:56:42.195
sails umbrellas, uh shade from
buildings, shade from uh shade from

00:56:42.228 --> 00:56:46.046
different trees. Um And so the the the
analysis is currently ongoing, but

00:56:46.079 --> 00:56:50.526
um the goal is to find out which shade
type is the most effective to keep

00:56:50.559 --> 00:56:54.925
people cool and comfortable. Um We're
also uh pulling the cart through

00:56:54.958 --> 00:56:59.606
parks to see which type of trees a re
most efficient for shading and, and

00:56:59.639 --> 00:57:03.307
which arrangement of trees is the most
efficient is most efficient for,

00:57:03.340 --> 00:57:08.925
for thermal comfort. And then um uh we
did this in Tempe downtown and that

00:57:08.958 --> 00:57:12.807
goes back to your question, actually
trying to investigate how the

00:57:12.840 --> 00:57:16.026
arrangement of buildings and the type
of buildings and and the width of

00:57:16.059 --> 00:57:19.115
the street, how this impacts thermal
comfort. And then finally, we'll hear

00:57:19.148 --> 00:57:23.247
about this in a little while. Um Julia
has used the card to investigate

00:57:23.280 --> 00:57:26.776
how people are exposed to the heat and
how comfortable they are while

00:57:26.809 --> 00:57:33.376
they're walking to, to a bus stop
actually. Um So all of this data will

00:57:33.409 --> 00:57:37.756
eventually lead uh to a thermal
comfort model. So, so I'm uh collecting

00:57:37.789 --> 00:57:41.936
Google street view data. You can use
the data to project uh project um the

00:57:41.969 --> 00:57:45.206
images onto fish eye photos. They can
be used to calculate radiation.

00:57:45.239 --> 00:57:47.767
That's the sa me that the card would
measure. But you can calculate this

00:57:47.800 --> 00:57:50.706
from the photo and then you can
calculate mean rate and temperature or

00:57:50.739 --> 00:57:54.747
thermal comfort uh city wide for any
street that has uh Google street view

00:57:54.780 --> 00:57:59.376
images. And then one application
that's my last slide um that you could

00:57:59.409 --> 00:58:03.327
envision is um this is actually a, a
fine scale thermal comfort map.

00:58:03.360 --> 00:58:08.276
Imagine you're AAA T the brickyard at
the uh at the on the A SU campus.

00:58:08.309 --> 00:58:11.586
And you would like to go to the MU and
grab something to eat. Um You could

00:58:11.619 --> 00:58:15.615
take the shortest path uh which can be
calculated between those two points.

00:58:15.648 --> 00:58:19.041
But you could also use the thermal
comfort or the mean rate and

00:58:19.074 --> 00:58:23.151
temperature as a waiting factor and
provide the user with a path that's

00:58:23.184 --> 00:58:26.771
slightly longer. But it's more
comfortable and more shaded. Um And this

00:58:26.804 --> 00:58:30.102
could be used also to for exa mples,
assess comfort in neighbourhoods and

00:58:30.135 --> 00:58:33.092
see maybe one neighbourhood is more
comfortable overall, maybe that's more

00:58:33.125 --> 00:58:37.010
attractive for businesses. So um yeah,
so this is some, some exa mples of

00:58:37.043 --> 00:58:45.043
uses of this model and that's it.
Thank you so much.

00:58:45.360 --> 00:58:49.836
Six.

00:58:49.869 --> 00:58:53.626
So let me introduce David Houla who's
also with the School of Geographical

00:58:53.659 --> 00:58:56.695
Sciences, Urban Planning. They, they
like our dominating. You guys are

00:58:56.728 --> 00:59:01.360
kind of dominating. We get some more
departments in here. David. Go ahead.

00:59:02.159 --> 00:59:04.159
Thank you, Ray and thank you all for being here. Uh It's a pleasure to

00:59:05.110 --> 00:59:08.595
spend a few moments, introducing the
human health side of the story as

00:59:08.628 --> 00:59:13.356
well and to share a little bit of our
research uh related to comfort and

00:59:13.389 --> 00:59:15.456
health.

00:59:15.489 --> 00:59:20.195
Uh human health is certainly affected
by heat and by heat in the city, we

00:59:20.228 --> 00:59:23.106
heard a lot about thermal comfort.
Fortunately, we didn't see anybody who

00:59:23.139 --> 00:59:26.236
is experiencing hot or very hot
conditions, but people in the city do

00:59:26.269 --> 00:59:30.006
experience hot and very hot conditions
every summer. And for some of those

00:59:30.039 --> 00:59:33.356
folks, there are adverse health
outcomes that occur. This is a diagram

00:59:33.389 --> 00:59:37.327
that the uh US Centers for Disease
Control and prevention has put together

00:59:37.360 --> 00:59:40.463
that suggests a pyramid of health
impacts. We were just thinking at the

00:59:40.496 --> 00:59:45.173
base of the pyramid. Thermal
discomfort occurs to many of our uh residents

00:59:45.206 --> 00:59:48.852
and visitors. There are more serious
and acute outcomes that affected an

00:59:48.885 --> 00:59:52.313
increasingly narrower and narrower
portion of the population. And here in

00:59:52.346 --> 00:59:55.894
the Phoenix metro area, we're quite
fortunate to have a lot of data about

00:59:55.927 --> 00:59:59.443
different parts of this pyramid in
surveys conducted by the County Health

00:59:59.476 --> 01:00:03.003
Department and a su for example, we
know that something like one third of

01:00:03.036 --> 01:00:06.959
people will experience some form of
heat discomfort. Uh during an average

01:00:06.992 --> 01:00:09.660
summer, the state health Department
has information about how many

01:00:09.693 --> 01:00:13.840
emergency department visits and
hospitalizations we see related to heat.

01:00:13.873 --> 01:00:17.601
And most unfortunately, we have a, a
number of deaths that occur related

01:00:17.634 --> 01:00:22.200
to heat in Maricopa County uh every
year. Uh according to the Maricopa

01:00:22.233 --> 01:00:25.601
County Department of Health in 2015,
uh there were nearly four dozen

01:00:25.634 --> 01:00:29.358
deaths and we'll talk more about the
mortality statistics. Uh in a few

01:00:29.391 --> 01:00:33.097
slides. I think it's quite important
when we're thinking about our various

01:00:33.130 --> 01:00:37.327
heat mitigation response strategies to
think about where in this pyramid

01:00:37.360 --> 01:00:41.068
uh we're targeting as we try to
evaluate success. If we're gonna plant

01:00:41.101 --> 01:00:44.577
more trees in a park? Are we trying to
reduce heat related mortality? Are

01:00:44.610 --> 01:00:47.338
we trying to improve thermal comfort?
What are the right evaluation

01:00:47.371 --> 01:00:52.717
metrics as we continue to deploy uh
more and more uh projects and we are

01:00:52.750 --> 01:00:55.756
really well positioned to think about
these issues. I just wanted to

01:00:55.789 --> 01:00:58.396
highlight the, the excellent
collaborations and research that have

01:00:58.429 --> 01:01:02.135
happened in the past our County Health
Department and our State Health

01:01:02.168 --> 01:01:06.336
department are leading the national
conversations about heat and health.

01:01:06.369 --> 01:01:09.336
There are working groups, for example,
nationally, uh trying to

01:01:09.369 --> 01:01:13.546
understand more specifically who's
impacted by heat, which diagnosis codes

01:01:13.579 --> 01:01:16.546
that are used in the medical
examiner's office could be related to heat.

01:01:16.579 --> 01:01:19.760
Those national working, the chairs of
those national working groups are

01:01:19.793 --> 01:01:23.021
from our county health department,
from our state health department and A

01:01:23.054 --> 01:01:26.220
SU has played a role here as well. I
know you can't see the figures at the

01:01:26.253 --> 01:01:29.881
bottom of the slides. Uh They simply
suggest that we, we know a fair bit

01:01:29.914 --> 01:01:32.651
about the geography of heat impacts in
our city. What are the

01:01:32.684 --> 01:01:36.010
neighborhoods where rates of heat
related mortality or morbidity are

01:01:36.043 --> 01:01:40.061
higher? Uh What are the threshold
temperatures above which we see uh the

01:01:40.094 --> 01:01:44.497
most uh serious health outcomes occur?
But we don't know everything and,

01:01:44.530 --> 01:01:48.977
and this is my call to call to action
and call for collaboration. Uh We

01:01:49.010 --> 01:01:51.566
held a meeting in partnership with the
National Weather Service and State

01:01:51.599 --> 01:01:55.425
Health Department uh earlier this
year. And one of the questions we asked

01:01:55.458 --> 01:01:58.756
related to heat preparedness and
response was how would a community know

01:01:58.789 --> 01:02:02.977
it has successfully coped with extreme
heat? And overwhelmingly the answer

01:02:03.010 --> 01:02:06.287
from the 50 some participants at this
meeting was that the community would

01:02:06.320 --> 01:02:09.135
know at the end of the season that
they had successfully coped if the heat

01:02:09.168 --> 01:02:12.537
, number of heat deaths had gone down,
that was seen as one of the the

01:02:12.570 --> 01:02:16.577
best possible evaluation metrics. And
I'm, I'm sorry to say that that has

01:02:16.610 --> 01:02:20.626
not been the way the statistics have
played out over the recent decade. Uh

01:02:20.659 --> 01:02:24.416
In this county, you can see the annual
number of heat related deaths uh on

01:02:24.449 --> 01:02:29.497
the bottom 2016 on the far right hand
side of the slide, as you see it, I

01:02:29.530 --> 01:02:34.905
believe, uh 2016 unfortunately had the
record number of heat related

01:02:34.938 --> 01:02:38.106
deaths that the County Health
Department has ever recorded in the 10 years.

01:02:38.139 --> 01:02:41.217
Uh 11 years of running their advanced
surveillance PP uh advanced

01:02:41.250 --> 01:02:44.327
surveillance program. And this is even
true after accounting for

01:02:44.360 --> 01:02:47.816
population growth and other factors
that might have affected the health

01:02:47.849 --> 01:02:51.776
status of the population. Uh even more
concerning and this is some work

01:02:51.809 --> 01:02:55.517
that Hannah Putnam wave your hand.
Hannah is, is leading with our team at

01:02:55.550 --> 01:03:00.276
A SU is that we don't think the
weather in 2016 was so much worse than the

01:03:00.309 --> 01:03:04.776
other years over the past decade.
These lines show what our model suggests.

01:03:04.809 --> 01:03:08.566
The number of heat related deaths
should have been based on the weather.

01:03:08.599 --> 01:03:12.155
We're putting a lot of energy into
thinking about heat and health uh in

01:03:12.188 --> 01:03:16.115
our region. 2016 should not have set
the record for the number of heat

01:03:16.148 --> 01:03:19.396
related deaths uh based on the weather
alone. So something else is

01:03:19.429 --> 01:03:23.405
happening and I think that something
else is, is what we can collectively

01:03:23.438 --> 01:03:28.986
as a group continue uh to think about
uh this is a conceptual diagram that

01:03:29.019 --> 01:03:31.925
some of my colleagues and I put
together recently to think about what the

01:03:31.958 --> 01:03:35.695
relationship might be between climate
drivers and adverse health outcomes.

01:03:35.728 --> 01:03:39.296
And I think many of the folks in this
room can identify where they fit in.

01:03:39.329 --> 01:03:42.506
In this diagram, we've talked a lot
about the built environment and

01:03:42.539 --> 01:03:46.595
infrastructure thus far, uh public
health systems conventions, we imagine

01:03:46.628 --> 01:03:50.385
to be a very, very broad uh and and
nebulous box. And it's actually in

01:03:50.418 --> 01:03:54.506
that box that we think the causal
drivers behind the increase in 2016

01:03:54.539 --> 01:03:57.816
might occur. Uh We know that there was
an incredible number. Uh There was

01:03:57.849 --> 01:04:01.095
an incredible increase in the number
of unsheltered homeless people in

01:04:01.128 --> 01:04:05.986
Maricopa County between 2015 and 2016.
I'm very supportive of all the

01:04:06.019 --> 01:04:09.307
strategies we've discussed related to
heat mitigation. But if we're not

01:04:09.340 --> 01:04:13.276
thinking about the number of, of beds
available in homeless shelters, if

01:04:13.309 --> 01:04:16.166
we're not thinking about our energy
assistance programs, we might be

01:04:16.199 --> 01:04:19.365
missing a really important part of the
story in understanding how these

01:04:19.398 --> 01:04:23.477
adverse uh events come to be. Uh very
briefly, if I May Ray just wanted to

01:04:23.510 --> 01:04:27.287
highlight one project we're working on
uh as a team at a SU. This is a

01:04:27.320 --> 01:04:31.126
National Science Foundation study
called uh three Heat and a number of the

01:04:31.159 --> 01:04:34.856
three heat teammates are here in the
room. Uh Mary and Liza Hannah has

01:04:34.889 --> 01:04:39.066
helped, there's Matt O over there as
Well, we've surveyed 100 and 60 some

01:04:39.099 --> 01:04:42.831
people in four different parts of the
city to understand their experiences

01:04:42.864 --> 01:04:46.050
and risks associated with heat,
understanding how they cope with heat with

01:04:46.083 --> 01:04:49.720
the power on, uh, and the power off,
uh, counterintuitive result that I'm

01:04:49.753 --> 01:04:53.470
happy to talk about with you more. Uh,
across the bottom axis. Here we see

01:04:53.503 --> 01:04:56.970
income across the vertical axis. We
see the indoor temperatures we

01:04:57.003 --> 01:04:59.977
measured in people's homes.

01:05:00.010 --> 01:05:02.836
We don't see the relationship that we
would have expected. We thought we'd

01:05:02.869 --> 01:05:07.796
find warm indoor homes in low income
neighborhoods and cooler uh indoor

01:05:07.829 --> 01:05:10.595
areas in higher income neighborhoods.
And that did not appear to be the

01:05:10.628 --> 01:05:14.425
case uh in our sample. But we do see
some other interesting patterns there.

01:05:14.458 --> 01:05:17.256
We've also thought a little bit about
emergency preparedness strategies

01:05:17.289 --> 01:05:21.635
and how people uh might cope with
these events. Water uh unsurprisingly is

01:05:21.668 --> 01:05:24.865
an important role. Uh looking forward
to more discussion. Ray is giving me

01:05:24.898 --> 01:05:29.365
the Harry eyeball here. Uh But uh I uh
I I hope uh I hope you recognize

01:05:29.398 --> 01:05:32.586
the urgency of the the health part of
the story here as we think about uh

01:05:32.619 --> 01:05:40.619
making a cooler and more comfortable
and safer city. Thanks very much.

01:05:41.929 --> 01:05:46.086
So, let me introduce Abigail York. Um
Abigail is with the school, I mean,

01:05:46.119 --> 01:05:49.776
she's with the school of human
evolution and social change. Thanks. I I

01:05:49.809 --> 01:05:54.126
almost said school, I mean, I'm I'm so
school Duke ever. I'm so ingrained

01:05:54.159 --> 01:05:58.287
in that. Thanks.

01:05:58.320 --> 01:06:03.807
Hi. So I'm here talking about um our
work with the, the Phoenix area

01:06:03.840 --> 01:06:11.840
Social Social Survey. I'm shorter than
Dave. Um And so this is an ongoing

01:06:12.289 --> 01:06:16.135
survey. This is the fourth time we've
done it. Uh It's a part of the

01:06:16.168 --> 01:06:19.675
Central Arizona Phoenix long term
ecological research site. Many of our

01:06:19.708 --> 01:06:24.307
researchers you've already uh heard
from are a part of us a part of this

01:06:24.340 --> 01:06:29.606
large site. The Phoenix area Social
Survey was a survey that we just got

01:06:29.639 --> 01:06:34.276
the results back, I think on Tuesday.
So you'll see very hot off the press.

01:06:34.309 --> 01:06:40.486
Um Just some uh broad overview
results. We surveyed 1200

01:06:40.519 --> 01:06:45.635
re participants in Phoenix and the
surrounding area. The majority of whom

01:06:45.668 --> 01:06:49.155
are actually in the city of Phoenix
though. Um We haven't, I haven't

01:06:49.188 --> 01:06:53.896
broken out any of that data yet
because I, I just got it. Um But you'll

01:06:53.929 --> 01:07:00.967
see. Where am I? Oh OK. So here are
the neighborhoods and these are um

01:07:01.000 --> 01:07:07.327
census black groups um Actually from
2000. This is an ongoing long term um

01:07:07.360 --> 01:07:11.327
survey. So we've retained them even
though some of these areas have

01:07:11.360 --> 01:07:15.635
changed quite dramatically. You may
notice um from your own work in the

01:07:15.668 --> 01:07:19.316
city that and so the different sizes,
but these are neighborhoods based

01:07:19.349 --> 01:07:25.488
around the census. Um This time, our
strategy for the long term ecological

01:07:25.521 --> 01:07:30.039
research site was to focus on
neighborhoods that were near some areas of

01:07:30.072 --> 01:07:35.059
ecological interest as well. As um had
the sort of bread of socio

01:07:35.092 --> 01:07:40.059
demographic diversity. And um so for
some of our geographers and, and

01:07:40.092 --> 01:07:44.849
planners, uh you'll also notice sort
of new and old development which is

01:07:44.882 --> 01:07:50.383
related to cooling heat, but as well
as other sort of um social and

01:07:50.416 --> 01:07:56.693
ecological questions of interest. So
we stratified our uh sampling design

01:07:56.726 --> 01:07:59.662
in this way in order to make sure we
were getting neighborhoods that were

01:07:59.695 --> 01:08:04.673
close enough uh within a kilometer to
some of. Uh So the salt is one of

01:08:04.706 --> 01:08:09.021
our prime ecological areas of interest
as well as mountain parks. And so

01:08:09.054 --> 01:08:16.746
you'll notice that's where most of the
neighborhoods are. Um OK, so the

01:08:16.779 --> 01:08:22.366
2017 survey, again, we just got it
back. We had about a 40% response rate

01:08:22.399 --> 01:08:26.876
which we were happy with. It was a
male survey. Um We have broad lots and

01:08:26.909 --> 01:08:29.897
lots of questions about environmental
attitudes, neighborhood satisfaction

01:08:29.930 --> 01:08:34.067
, environmental knowledge, water and
landscape management. And I think

01:08:34.100 --> 01:08:38.536
this survey is really very rich
because it's asking people what they do on

01:08:38.569 --> 01:08:42.446
their own parcels and land. And we,
there aren't a lot of other secondary

01:08:42.479 --> 01:08:46.656
data sources that we can get that. So
it's sort of in important as well as

01:08:46.689 --> 01:08:50.467
you know, how they're thinking about
things um happening both in the city

01:08:50.500 --> 01:08:56.595
and, and much um more broadly. So we
do have quite a lot of questions. Um

01:08:56.628 --> 01:09:00.607
And again, many of the researchers
here were actively involved in

01:09:00.640 --> 01:09:07.175
developing these dave in particular on
the on heat. Um So their behavior

01:09:07.208 --> 01:09:11.817
mitigation concerns some of the
attitudes that they have about it. Um What

01:09:11.850 --> 01:09:15.135
they're trying to do on site. So we
have lots of questions and I, I don't

01:09:15.168 --> 01:09:18.897
have them with me today about all of
the different behaviors they're doing

01:09:18.930 --> 01:09:26.930
on their parcel to try to deal with
heat related issues. Um Maybe OK, so,

01:09:27.259 --> 01:09:30.996
you know, we have questions about how
many um have swimming pools and

01:09:31.029 --> 01:09:37.036
other features. So this is maybe a
higher income strategy for, for dealing

01:09:37.069 --> 01:09:40.175
with heat and, and what they think it
does in terms of summer temperature.

01:09:40.208 --> 01:09:43.237
And so you can see there's quite a bit
of variability there. We have

01:09:43.270 --> 01:09:47.726
questions about lawns, we have all
sorts of different kinds of uh

01:09:47.759 --> 01:09:53.619
questions. Um We also have things so
related, I think to the very last

01:09:53.652 --> 01:09:57.089
point which I'll, it will be exciting
to see how our work and the, you

01:09:57.122 --> 01:09:59.960
know, a larger number of neighborhoods
plays out with what Dave was doing

01:09:59.993 --> 01:10:04.558
with the in person surveys. Um whether
or not you were ever too hot inside

01:10:04.591 --> 01:10:09.848
your home. And so how that relates to
um income and other socio

01:10:09.881 --> 01:10:15.652
demographic factors. So it's rich,
rich data set. Um I am excited about

01:10:15.685 --> 01:10:19.571
opportunities to collaborate with the
city and I know all of our team

01:10:19.604 --> 01:10:23.332
members are, and there's really, I
would say about 30 researchers who are

01:10:23.365 --> 01:10:27.213
actively are using this data set. And
would be excited to, to work with

01:10:27.246 --> 01:10:31.332
you. So that's just sort of a
advertisement to, to get you excited. And

01:10:31.365 --> 01:10:39.365
that's all I have because I just got
the data. But thank you.

01:10:41.739 --> 01:10:49.739
So Ya Zubin is with the school
sustainability. Ya,

01:10:50.899 --> 01:10:55.536
hi. So I'm going to tell you about uh
three research projects that were

01:10:55.569 --> 01:11:02.256
done at SU in relation to heat uh
transit and thermal comfort.

01:11:02.289 --> 01:11:07.416
Uh The first project is uh NASA
develop. And the objective of this project

01:11:07.449 --> 01:11:13.567
is to help um city of Phoenix to
prioritise where to install shade

01:11:13.600 --> 01:11:18.357
structures. A T the bus stops that a
re currently unshaded. So, AC O

01:11:18.390 --> 01:11:24.845
Research, Tea, MS analyse uh uh remote
sensing imagery uh to understand uh

01:11:24.878 --> 01:11:30.746
which uh bus stop have the highest
land surface temperature.

01:11:30.779 --> 01:11:36.746
Uh The other project uh was done in
summer 2016. Uh And the goal of this

01:11:36.779 --> 01:11:41.015
project was uh to understand what is
the difference between thermal

01:11:41.048 --> 01:11:47.567
comfort at unshaded at shaded stops.
So A SU teams conducted a service at

01:11:47.600 --> 01:11:54.286
both shaded and unshaded stops. And uh
um basically, the results show that

01:11:54.319 --> 01:12:00.706
um if we uh combine server responses,
weather data and ridership, uh the

01:12:00.739 --> 01:12:05.476
installation of 80 shade structures
could increase thermal comfort of

01:12:05.509 --> 01:12:11.976
133,000 boardings. So, uh another
objective on this is to understand what

01:12:12.009 --> 01:12:16.666
is the return of, of investment of the
city that was done through uh t

01:12:16.699 --> 01:12:19.996
2050 funding.

01:12:20.029 --> 01:12:25.156
And uh the other project that was done
this summer is uh to understand

01:12:25.189 --> 01:12:31.385
what is the uh relation between uh
design qualities and microclimate uh on

01:12:31.418 --> 01:12:36.487
behavior and our perception of heat.
So we went, uh we picked uh different

01:12:36.520 --> 01:12:41.217
bust and light rail stops that uh have
different design characteristics

01:12:41.250 --> 01:12:45.246
and different microclimate
characteristics and conducted field data

01:12:45.279 --> 01:12:51.317
observed how people behave, uh
surveyed people uh to understand how this

01:12:51.350 --> 01:12:56.885
design actually changes our behavior
and perception of heat. And uh what

01:12:56.918 --> 01:13:02.326
choices do riders make uh when they
are at the bus stop. And uh the goal

01:13:02.359 --> 01:13:06.385
of this is to understand how we can
influence those perceptions through

01:13:06.418 --> 01:13:09.126
design.

01:13:09.159 --> 01:13:14.305
And the second part of this project
was uh to measure sun exposure for

01:13:14.338 --> 01:13:19.357
people who have to walk to the bus
stop. Uh We went into uh three

01:13:19.390 --> 01:13:23.916
different neighborhoods in uh Phoenix
and Edison, East Lake neighborhood,

01:13:23.949 --> 01:13:29.277
downtown Phoenix and uh between
Baseline and Southern on 21st, on 24th

01:13:29.310 --> 01:13:34.126
street. And we actually walked with
the cart in the sun in the summer and

01:13:34.159 --> 01:13:40.107
that wasn't very pleasant experience.
So we wanted to know how much

01:13:40.140 --> 01:13:45.607
exposure does a typical bus rider gets
when he uh has to walk to the bus

01:13:45.640 --> 01:13:50.946
stop. And uh also to see what is the
difference in sun exposure between

01:13:50.979 --> 01:13:54.930
different neighborhoods that have
different characteristics of urban form

01:13:54.963 --> 01:14:00.921
, uh urban planning and micro climate.
And also even to understand the

01:14:00.954 --> 01:14:04.631
difference between different sides of
the streets and uh maybe one side is

01:14:04.664 --> 01:14:08.342
more vegetated or has more shade than
the other. So then we can see how we

01:14:08.375 --> 01:14:16.375
can mitigate sun exposure with design.
Um That's it. Thank you.

01:14:19.708 --> 01:14:23.527
So I was gonna induce Andrew Fraser
from the school of sustainable

01:14:23.560 --> 01:14:25.976
Engineering build environment. But he
had something come up at the last

01:14:26.009 --> 01:14:30.487
minute, David has agreed to channel
Andrew and do his presentation. So you

01:14:30.520 --> 01:14:37.006
all hold out your hands like this and
hum mm have a look. A re you all set.

01:14:37.039 --> 01:14:40.277
Andrew is uh quite sorry. He couldn't
be here. Andrew is an assistant

01:14:40.310 --> 01:14:43.345
research professor in the School of
Sustainable Engineering and the built

01:14:43.378 --> 01:14:47.476
environment at A SU and is a teammate
of ours on a number of projects uh

01:14:47.509 --> 01:14:51.015
related both to transit and
understanding heat exposure in the city. Uh

01:14:51.048 --> 01:14:54.836
But also thinking about cooling
centers, which is a strategy that the the

01:14:54.869 --> 01:14:58.116
city is invested in along with uh the
County Health Department and the

01:14:58.149 --> 01:15:01.326
Maricopa Association student of
Governments. And I want to share uh just a

01:15:01.359 --> 01:15:04.250
, a little bit of a flavor of the
research that's happening at a SU uh

01:15:04.283 --> 01:15:09.738
related to cooling centers. Uh First,
this is a, a resource that uh a SU

01:15:09.771 --> 01:15:13.269
faculty put together over the past few
years. It's a website called Cool

01:15:13.302 --> 01:15:18.570
me dot Today and it's a map of the
regional cooling centers. It exists uh

01:15:18.603 --> 01:15:21.229
both for Phoenix and some other
cities. Although we need to update the

01:15:21.262 --> 01:15:25.278
data uh from other from some other
cities, there are maps distributed of

01:15:25.311 --> 01:15:30.451
the cooling network by other regional
agencies uh such as ma what's uh fun

01:15:30.484 --> 01:15:33.682
or innovative about the Cool Me site
is that it can allow you to find the

01:15:33.715 --> 01:15:37.543
cooling center that's closest to your
location uh at any given time. And

01:15:37.576 --> 01:15:40.701
we're continuing to build up our
infrastructure and work with uh teammates

01:15:40.734 --> 01:15:44.003
in the city of Phoenix. Uh to think
about how if and how this can be a

01:15:44.036 --> 01:15:48.192
sustainable and useful tool for
helping the types of people uh who would

01:15:48.225 --> 01:15:51.726
actually be using cooling centers.

01:15:51.759 --> 01:15:55.687
Uh But on, on the, on the heart of
research that's happening uh from

01:15:55.720 --> 01:15:59.217
Andrew's team uh related to
understanding cooling centers. Uh We're really

01:15:59.250 --> 01:16:02.737
trying to get a sense of how
accessible the existing cooling cooling

01:16:02.770 --> 01:16:07.805
center network is uh across the city.
Uh What's shown here on the map are

01:16:07.838 --> 01:16:11.496
two potential cooling center
locations. The asterisk is one of our formal

01:16:11.529 --> 01:16:16.555
cooling centers organized by the heat
relief network uh in our region. And

01:16:16.588 --> 01:16:20.696
the uh the library logo indicates
where there's a a library and both of

01:16:20.729 --> 01:16:23.876
these buildings are shown on the map
to highlight that there are both

01:16:23.909 --> 01:16:28.246
formal and informal cooling centers in
our region. There are for formal

01:16:28.279 --> 01:16:31.937
cooling centers. The addresses of
which are routinely published as places

01:16:31.970 --> 01:16:34.626
that who need heat relief during the
summer are are encouraged and welcome

01:16:34.659 --> 01:16:38.476
to visit. But there are informal
cooling centers that are not part of this

01:16:38.509 --> 01:16:42.510
heat relief network that exists on
where people might also be seeking

01:16:42.543 --> 01:16:46.381
refuge from the heat as well. Uh such
as some of our public libraries. And

01:16:46.414 --> 01:16:49.161
what Andrew's team has been doing is
is thinking from a geographical

01:16:49.194 --> 01:16:52.911
perspective about how accessible are
these cooling center networks. So you

01:16:52.944 --> 01:16:55.652
can see the the box that surrounds
either of these potential cooling

01:16:55.685 --> 01:16:59.550
centers is not a perfect circle or
rectangle. It's this unusual shape

01:16:59.583 --> 01:17:03.001
that's related to the accessibility of
those places based on the geometry

01:17:03.034 --> 01:17:07.756
of the road network. Uh They have
thought very hard about what are the

01:17:07.789 --> 01:17:11.987
different types of places that could
act as cooling refuges of one form or

01:17:12.020 --> 01:17:15.277
another in a formal or informal sense.
And we can imagine that there are,

01:17:15.310 --> 01:17:18.515
there are different costs associated
with using some of these different

01:17:18.548 --> 01:17:22.086
cooling centers. It might not be
possible for example, to walk into every

01:17:22.119 --> 01:17:25.121
boat bar or a restaurant in the city
and expect that you can stay there

01:17:25.154 --> 01:17:29.171
for an extended period of time without
some uh discomfort or perhaps

01:17:29.204 --> 01:17:31.911
without spending a little bit of
money. So they've tried to assign some

01:17:31.944 --> 01:17:35.781
cost functions to these different
formal and informal cooling centers as

01:17:35.814 --> 01:17:41.027
they're thinking about what truly is
accessible uh based on the existing

01:17:41.060 --> 01:17:44.706
Cooling Center network. They've
developed an accessibility uh index and

01:17:44.739 --> 01:17:48.666
there are some uh alarming statistics
about the accessibility of cooling

01:17:48.699 --> 01:17:52.406
centers. If you look just at the
official cooling center column here. And

01:17:52.439 --> 01:17:56.845
the bottom row for Maricopa County,
assuming an average walking speed for

01:17:56.878 --> 01:18:01.446
pedestrians. Uh uh The team determined
that only 2% of the cooling centers

01:18:01.479 --> 01:18:05.546
would be geographically accessible uh
for pedestrians. Many of the folks

01:18:05.579 --> 01:18:08.786
who are uh using cooling centers uh
may not have access to their own

01:18:08.819 --> 01:18:12.357
vehicle, uh may not be able to afford
even public transportation fare. So

01:18:12.390 --> 01:18:15.675
understanding what's within walking
distance uh is really quite uh quite

01:18:15.708 --> 01:18:18.817
important. If we think about more of
the informal cooling centers such as

01:18:18.850 --> 01:18:22.987
libraries or the commercial
establishments, the accessibility uh increases

01:18:23.020 --> 01:18:26.956
although perhaps not to a a
satisfactory number. So the question then is,

01:18:26.989 --> 01:18:30.376
where should we have more cooling
centers? Uh These are the locations that

01:18:30.409 --> 01:18:33.496
the team identified as possible
cooling centers. These are all the

01:18:33.529 --> 01:18:37.616
commercial venues that fit the
criteria that you saw on the table before.

01:18:37.649 --> 01:18:40.217
Uh and they asked the question if we
could pick 10 of these, what would be

01:18:40.250 --> 01:18:44.536
the best 10 locations if when the
Human Services department here and their

01:18:44.569 --> 01:18:47.476
collaborators at MAG are encouraging
more folks to participate in the

01:18:47.509 --> 01:18:51.635
network, which 10 facilities should
they really lean on the most to ask

01:18:51.668 --> 01:18:55.397
them uh to join in. And uh here's a
map of where those 10 are, the slides

01:18:55.430 --> 01:18:58.616
again will be available. We don't have
the time to really discuss uh you

01:18:58.649 --> 01:19:01.397
know why, why these points are where
they are, but it's related both to

01:19:01.430 --> 01:19:05.076
the vulne, uh our estimated
vulnerability of the underlying population as

01:19:05.109 --> 01:19:10.616
well as the uh geography of the road
and sidewalk network uh in the city.

01:19:10.649 --> 01:19:13.357
Uh Finally, I wanted to highlight just
a couple of other projects that

01:19:13.390 --> 01:19:16.425
have happened related to cooling
centers. A su partnered with the County

01:19:16.458 --> 01:19:20.156
and State Health Department to conduct
a formal in person evaluation of

01:19:20.189 --> 01:19:23.845
our regional cooling centers in 2014.
So we visited every facility

01:19:23.878 --> 01:19:27.237
observed what was happening there,
talked to facility managers, surveyed

01:19:27.270 --> 01:19:30.536
people who are using the facilities.
There are extensive results of

01:19:30.569 --> 01:19:34.527
available on the County Health
Department's web page which is uh heat A

01:19:34.560 --> 01:19:38.166
z.com. You can get right to where the
reports are. This is one of the

01:19:38.199 --> 01:19:41.095
results that I think is really
encouraging. We asked the facility managers

01:19:41.128 --> 01:19:46.166
, uh what are the costs associated to
your facility with participating in

01:19:46.199 --> 01:19:49.086
the heat relief network? And more than
half of them said there are no

01:19:49.119 --> 01:19:53.555
additional costs uh acting as a
cooling center meant making space that's

01:19:53.588 --> 01:19:57.616
already open and largely unused uh
available for others. It was an easy

01:19:57.649 --> 01:20:00.376
ask for them to join the cooling
center network. They didn't perceive it

01:20:00.409 --> 01:20:03.967
as a tremendous burden uh on their
operations. Others of course,

01:20:04.000 --> 01:20:07.687
identified uh some costs related to
providing bottled water or, or staff

01:20:07.720 --> 01:20:11.437
hours. But, but our main takeaway was
that it's a, it's not a difficult

01:20:11.470 --> 01:20:16.576
ask uh for a new organization to join
the Heat Relief Network. And finally

01:20:16.609 --> 01:20:20.031
uh another student, Joshua Ebel Hair
from Public affairs, engaged in a

01:20:20.064 --> 01:20:24.652
participate, participatory modeling
type exercise with heat relief network

01:20:24.685 --> 01:20:28.682
stakeholders. Uh The cartoon here is
a, a screenshot of a computer

01:20:28.715 --> 01:20:31.923
interface where he was simulating some
of the dynamics of the heat relief

01:20:31.956 --> 01:20:36.003
network. And he was asking uh folks to
comment on if the model seemed to

01:20:36.036 --> 01:20:39.371
be capturing the correct behaviors and
what folks saw and an overwhelming

01:20:39.404 --> 01:20:42.463
pattern uh that the folks who were
engaging with this tool observed was

01:20:42.496 --> 01:20:46.049
that man of the heat relief network
facilities close at 5 p.m. If you've

01:20:46.082 --> 01:20:49.688
ever walked outside at 530 or six
o'clock PM, you know, it can still be

01:20:49.721 --> 01:20:53.638
quite dangerously hot uh at that time
of day. And we're, we're very

01:20:53.671 --> 01:20:56.848
excited that the conversation has
really shifted over the past couple of

01:20:56.881 --> 01:20:59.827
years with the heat relief network
coordinators to encourage facilities to

01:20:59.860 --> 01:21:04.867
stay open uh and accessible to 67 or
eight o'clock PM. Uh So we're quite

01:21:04.900 --> 01:21:08.228
interested in cooling centers. We hope
the city is too. Thanks for your

01:21:08.261 --> 01:21:13.717
time.

01:21:13.750 --> 01:21:17.527
Thanks, David. You made my life a lot
more comfortable. Next time I go out

01:21:17.560 --> 01:21:20.126
to the bar to get a drink. I would
tell my wife, I'm going to a cooling

01:21:20.159 --> 01:21:22.586
center.

01:21:22.619 --> 01:21:27.296
Ok. So now we're gonna spend 10
minutes discussing some of the comfort um

01:21:27.329 --> 01:21:33.055
topics that we looked at. Um What is
it, what do you do today that you

01:21:33.088 --> 01:21:37.135
think this comfort issue is important
as to. So I can hear from some of

01:21:37.168 --> 01:21:40.515
the group

01:21:40.548 --> 01:21:46.595
I'm gonna start pointing. Come on,
there we go. Josh Bednarik City of

01:21:46.628 --> 01:21:49.406
Phoenix Planning and Development
Department. II, I find there's an

01:21:49.439 --> 01:21:53.826
interesting correlation between the,
the thermal comfort and then the heat

01:21:53.859 --> 01:21:57.796
island and the, the overall heat. So
much of what we've been doing from a

01:21:57.829 --> 01:22:01.717
coding standpoint or a zoning
standpoint is trying to enhance the thermal

01:22:01.750 --> 01:22:06.256
comfort on the street through shade
and then the placement of buildings.

01:22:06.289 --> 01:22:09.179
But based on the previous presentation
that may be having adverse effect

01:22:09.212 --> 01:22:12.229
on the overall temperature. So III I
think that'll be something that we

01:22:12.262 --> 01:22:16.299
wanna continue to discuss as we, as we
look to expand the walkable urban

01:22:16.332 --> 01:22:19.860
code throughout the city, which really
isn't concerned about lot coverage

01:22:19.893 --> 01:22:23.388
anymore. We're, we're, we're really
wanted to maximize that lot. What are

01:22:23.421 --> 01:22:26.759
some provisions in the code that we
should be thinking about with respect

01:22:26.792 --> 01:22:31.012
to the overall temperature. Our main
focus has been en enhancing that

01:22:31.045 --> 01:22:35.262
thermal comfort on the right of way
with the provi pro provision of street

01:22:35.295 --> 01:22:38.991
trees or other types of shading
mechanisms. But I don't think we've been

01:22:39.024 --> 01:22:43.121
necessarily been focused on how the
the the densification of the area has

01:22:43.154 --> 01:22:47.793
had on the overall uh surface temp
temperatures. Iii I find the two topics

01:22:47.826 --> 01:22:50.756
uh interesting together.

01:22:50.789 --> 01:22:55.706
So I mean, I'll, I'll suggest that I
think that the, the, the, the

01:22:55.739 --> 01:22:58.967
research that we're doing right now
and comfort is sort of shifting

01:22:59.000 --> 01:23:02.147
thinking a little bit because the
research you saw in the first part of

01:23:02.180 --> 01:23:05.175
the day was really the earlier
research we did. What are the temperatures

01:23:05.208 --> 01:23:08.826
we're seeing what's doing that? Now,
we're focusing more on just what is

01:23:08.859 --> 01:23:12.786
the comfort of people, which really
is, our goal is we want people to be,

01:23:12.819 --> 01:23:16.967
be comfortable. And so I think it's
possible to have areas in the city

01:23:17.000 --> 01:23:20.385
where it's hot but there aren't,
people don't congregate and they don't go

01:23:20.418 --> 01:23:23.305
in areas of the city where it's cooler
where people are going. So this

01:23:23.338 --> 01:23:27.336
concept of where people are and where
they move, where they walk to the

01:23:27.369 --> 01:23:30.496
bus station, how did they get there?
Um How do they move in their

01:23:30.529 --> 01:23:33.586
neighborhoods? How do they walk from
the parking lot into the commercial

01:23:33.619 --> 01:23:36.796
center? Where are they in the
commercial center? There? There are places

01:23:36.829 --> 01:23:40.277
where people are gonna be in
congregate and having an understanding of

01:23:40.310 --> 01:23:45.817
where is that? And how do we make
those areas cooler? Um I, I think it's

01:23:45.850 --> 01:23:50.055
something we need to be doing more of
and working with you more on in

01:23:50.088 --> 01:23:54.265
terms of when you're doing site plan
review or doing zoning, we can, can

01:23:54.298 --> 01:23:58.055
discuss those types of things.

01:23:58.088 --> 01:24:06.088
Sorry. Oh, Susan, again,

01:24:07.770 --> 01:24:11.946
there's a great line in one of the
health affairs uh documents where a, a

01:24:11.979 --> 01:24:17.265
professor, I mean, a physician said a
patient told him if you really want

01:24:17.298 --> 01:24:21.527
to help me with my blood pressure,
help me with my utility bill. I use

01:24:21.560 --> 01:24:26.607
that in lots of speeches I give
because I say if it's 90 degrees in my

01:24:26.640 --> 01:24:29.826
house, you can throw all the meds at
me you want and my blood pressure

01:24:29.859 --> 01:24:34.555
still won't go down. So one thing to
think about in your research is

01:24:34.588 --> 01:24:39.586
talking with federally qualified
health centers. I mean, working this in

01:24:39.619 --> 01:24:44.385
because that's where it's physicians,
particularly with chronically ill

01:24:44.418 --> 01:24:51.027
patients in lower income areas. They
can be helpful to this. I in looking

01:24:51.060 --> 01:24:55.967
at it and trying to figure out they
don't ask those questions. We talk a

01:24:56.000 --> 01:25:00.546
lot about the social determinants of
health and how it impacts. But as

01:25:00.579 --> 01:25:05.196
you're looking through this tapping
into that medical community,

01:25:05.229 --> 01:25:10.437
particularly with the uh what's called
FQH CS because they are dealing

01:25:10.470 --> 01:25:16.046
with the patients uh that are seeing
the impacts of it. They're not asking

01:25:16.079 --> 01:25:21.265
these questions. And so they are just
literally throwing meds at people

01:25:21.298 --> 01:25:26.666
without asking the underlying for
those underlying causes. But that's

01:25:26.699 --> 01:25:30.446
where our community paramedic program
around the state has become very,

01:25:30.479 --> 01:25:36.446
very helpful. They're going in and
assessing those needs almost every city.

01:25:36.479 --> 01:25:41.796
But Phoenix in Maricopa County has
that. But so looking at those

01:25:41.829 --> 01:25:45.607
connections, as you're looking at your
research, I think can be very

01:25:45.640 --> 01:25:50.746
valuable to both helping the people
you're studying a and also uh helping

01:25:50.779 --> 01:25:56.836
your uh uh information and research.

01:25:56.869 --> 01:26:03.586
Carrot over here. Yeah.

01:26:03.619 --> 01:26:10.425
Mm

01:26:10.458 --> 01:26:15.626
So, so I have a question and it
relates kind to both um of the topic areas

01:26:15.659 --> 01:26:20.885
that we've talked about. Um 01 of the
big barriers that we encounter as we

01:26:20.918 --> 01:26:28.496
think about how to impact uh policies
in, in our city. And uh that, that

01:26:28.529 --> 01:26:34.305
affect the comfort of our residents is
costs and costs, not just of

01:26:34.338 --> 01:26:38.987
implementing a solution, but the long
term costs of the solution. You know

01:26:39.020 --> 01:26:42.527
, we talked a little bit about
pervious pavement and what what the long

01:26:42.560 --> 01:26:47.385
term costs of, of keeping that
effective in the long run are. And so I'm

01:26:47.418 --> 01:26:52.265
just curious to the extent. I mean,
this research is fantastic and very uh

01:26:52.298 --> 01:26:57.175
enlightening and, and helpful. But,
but as as we think about making policy

01:26:57.208 --> 01:27:01.107
and implementing it here in our
community, one of the big drivers of our

01:27:01.140 --> 01:27:06.826
conversations with our elected
officials, our residents developers, you

01:27:06.859 --> 01:27:11.187
know, the people who are building
things in our community is is costs. So

01:27:11.220 --> 01:27:14.546
I'm just curious how, how much of that
is, is part of what you're thinking

01:27:14.579 --> 01:27:19.147
about.

01:27:19.180 --> 01:27:23.237
Anybody want to respond to that. If,
if I respond to it, I'm gonna, you

01:27:23.270 --> 01:27:26.987
know, lock a su into some area that's
gonna have to do some work on that.

01:27:27.020 --> 01:27:29.717
David. Go ahead, Karen. Thanks for
your question. I think you've

01:27:29.750 --> 01:27:33.897
highlighted a need where we need to
bring more people to the table. Uh The

01:27:33.930 --> 01:27:38.126
from the health statistics
perspective. Uh For example, we know that a

01:27:38.159 --> 01:27:43.558
heat related hospitalization in the
country averages something like $5500.

01:27:43.591 --> 01:27:48.009
So if you multiply $5500 by something
like the 1000 hospitalizations we

01:27:48.042 --> 01:27:51.638
have or several 100 we have each
summer, you can get a pretty large number

01:27:51.671 --> 01:27:55.278
pretty quickly. What I don't
understand as a, a climate and comfort

01:27:55.311 --> 01:27:59.259
researcher is where those costs fall
between public and private markets

01:27:59.292 --> 01:28:02.259
and insurance. And I think that's
something that we as a community could

01:28:02.292 --> 01:28:06.281
learn more about to help you make that
case. That's some of these costs uh

01:28:06.314 --> 01:28:10.642
do fall upon the public and we could
recoup those costs if the right

01:28:10.675 --> 01:28:14.062
weatherization or building assistance
or energy assistance programs uh

01:28:14.095 --> 01:28:18.642
were in place ahead of time before
some of these costs occur. Uh We, we've

01:28:18.675 --> 01:28:22.192
, we have heard you and are thinking
about this a little bit and we've

01:28:22.225 --> 01:28:25.112
been thinking about this at transit
stops. Uh But we didn't have time to

01:28:25.145 --> 01:28:30.277
show, for example, uh uh is we try to
calculate per every dollar that

01:28:30.310 --> 01:28:34.036
Joe's team is spending on shade
structures. Uh What does that get you in

01:28:34.069 --> 01:28:37.476
terms of comfort? And we've determined
that it's something like. Uh so

01:28:37.509 --> 01:28:41.217
when you raised your hand up and voted
in Ariana survey, we think a dollar

01:28:41.250 --> 01:28:44.675
moves people about two points on that
scale when they're at shade

01:28:44.708 --> 01:28:48.135
structures. So that's our return on
investment, two points on a thermal

01:28:48.168 --> 01:28:52.482
comfort scale. $1. Is that a good
investment? I mean, that's probably not

01:28:52.515 --> 01:28:55.171
for us to decide. But, but we have
heard you and are trying to start to

01:28:55.204 --> 01:28:59.791
think about the return on investment
in some, some clever ways. We we have

01:28:59.824 --> 01:29:03.430
done some other things to relate to
that. So we created this modular

01:29:03.463 --> 01:29:07.291
design for the bus stop so that you
could implement some of these shading

01:29:07.324 --> 01:29:10.726
features in a modular fashion and make
it a little bit cheaper to maintain.

01:29:10.759 --> 01:29:14.687
But certainly some of the things we're
talking about might suggest new

01:29:14.720 --> 01:29:18.866
programs and new, new things. But I
think a lot more of what we're saying

01:29:18.899 --> 01:29:23.397
is, is that you could probably be more
effective comfort wise with the

01:29:23.430 --> 01:29:26.397
money you're already spending, that
you don't need to spend any more money

01:29:26.430 --> 01:29:29.836
, just how you're doing your
activities now and how you're spending money.

01:29:29.869 --> 01:29:33.647
Now, if you looked at the cooling, you
could be better at cooling using

01:29:33.680 --> 01:29:37.635
the same amount of money and, and that
this concept of comfort where

01:29:37.668 --> 01:29:40.796
people are in comfort and what you do
to make them comfort and recognizing

01:29:40.829 --> 01:29:45.046
there may be hot areas and may be cool
areas um is one way to, is to do

01:29:45.079 --> 01:29:51.265
that. So how, how many of you manage a
facility or manage a service where

01:29:51.298 --> 01:29:55.666
you have people coming in from outside
where it's the heat, nobody, nobody

01:29:55.699 --> 01:29:59.076
, nobody's managing service. Come on.
Some of you must manage services

01:29:59.109 --> 01:30:01.515
where people coming in there. I mean,
they're coming from the outside,

01:30:01.548 --> 01:30:06.296
they're coming in the heat.

01:30:06.329 --> 01:30:09.885
Think about it. If you have people. Do
you, how many of you manage service

01:30:09.918 --> 01:30:13.015
where people come to you?

01:30:13.048 --> 01:30:17.967
Nobody. No. Yep, there. Ok. I work
with

01:30:18.000 --> 01:30:24.437
very, um where individuals are in
apartment complexes, uh especially

01:30:24.470 --> 01:30:27.756
during the summer that we had tons of
apartments uh without air

01:30:27.789 --> 01:30:32.296
conditioning. So working with the
neighborhoods, um we have seen a rise

01:30:32.329 --> 01:30:35.826
and a lot of those complaints where
there maybe a lot of the cooling uh

01:30:35.859 --> 01:30:39.046
shelters are not readily available for
them or they have transportation

01:30:39.079 --> 01:30:43.277
issues. But I can definitely say I've
seen an increase in a lot of those

01:30:43.310 --> 01:30:48.366
situations. So I I would suggest
anybody who's providing service to people

01:30:48.399 --> 01:30:52.897
coming to a facility um has this
comfort issue that you're gonna need to

01:30:52.930 --> 01:30:55.885
deal with within in the summer in
terms of your customers and how you can

01:30:55.918 --> 01:31:00.446
keep them cool. Ok. So thanks for the
discussion. If I could just add one

01:31:00.479 --> 01:31:04.626
point on your comment here, I think uh
I think you asked about employees

01:31:04.659 --> 01:31:07.635
as well and that might be another area
we can think about recovering costs

01:31:07.668 --> 01:31:10.805
is think about thermal comfort and,
and uh you know, work related uh

01:31:10.838 --> 01:31:14.746
delays or illnesses are related to
summer heat. That might be an area

01:31:14.779 --> 01:31:18.376
where it's very easy within our
current accounting infrastructure to think

01:31:18.409 --> 01:31:21.737
about what costs are. And we could, we
could do some of this work perhaps

01:31:21.770 --> 01:31:25.976
more internally as well as facing the
community.

01:31:26.009 --> 01:31:30.406
All right. So we're gonna give you 10
minutes to take a break. Um, uh, no

01:31:30.439 --> 01:31:33.765
more than that. In fact, in fact,
we're not even gonna take 10 minutes if

01:31:33.798 --> 01:31:37.635
you could be back here by a quarter
till, um, we're gonna break until a

01:31:37.668 --> 01:31:41.467
quarter till.

01:31:41.500 --> 01:31:49.500
So there's, there's, there's ladies
rooms on every floor.

01:31:51.149 --> 01:31:55.345
All right, if I can get you to take
your seats,

01:31:55.378 --> 01:31:59.175
someone told me there's a prize under
every seat. So if you look under

01:31:59.208 --> 01:32:01.937
your seat,

01:32:01.970 --> 01:32:05.107
so if I can get you to see, get you
take your seats, please, so we can get

01:32:05.140 --> 01:32:13.140
started.

01:32:16.329 --> 01:32:19.675
All right. So I'm gonna, we're gonna,
we're gonna shift to another topic

01:32:19.708 --> 01:32:23.866
and this topic is gonna be more
focused on thinking about the future and

01:32:23.899 --> 01:32:28.166
planning for the future in terms of
heat and comfort. And I'm, we start us

01:32:28.199 --> 01:32:31.086
out will be Halley Aiken, who's going,
who's from the school?

01:32:31.119 --> 01:32:36.357
Sustainability?

01:32:36.390 --> 01:32:40.857
Hi. So, um I'm not a heat researcher,
but I do research vulnerability and

01:32:40.890 --> 01:32:43.305
particularly vulnerability at the
household level in a variety of

01:32:43.338 --> 01:32:47.296
different hazards. So, what I'm gonna
do now is just provide you kind of a

01:32:47.329 --> 01:32:51.666
summary, conceptualist summary of uh
what we've already been talking about

01:32:51.699 --> 01:32:55.737
in, in different ways uh in previous
presentations to try and think about

01:32:55.770 --> 01:32:59.876
how we might approach vulnerability
assessment moving forward. So

01:32:59.909 --> 01:33:04.546
vulnerability, as I believe, David
already said at the beginning, um is we

01:33:04.579 --> 01:33:08.317
generally think of it as composed of
three attributes exposure. Here,

01:33:08.350 --> 01:33:11.996
we're talking about heat sensitivity,
which obviously varies across a

01:33:12.029 --> 01:33:15.746
population according to its
characteristics where it lives. Uh What kind

01:33:15.779 --> 01:33:20.116
of attributes the population has an
adaptive capacity, which is the

01:33:20.149 --> 01:33:25.476
ability to mitigate uh and mediate
some of that vulnerability. Um So we

01:33:25.509 --> 01:33:31.076
can think of uh households like this
uh in Phoenix where um we might uh

01:33:31.109 --> 01:33:35.277
see that it has no vegetation might be
a high levels of rental properties

01:33:35.310 --> 01:33:40.555
, low uh capacity for investment in
vegetation maintenance. There may be

01:33:40.588 --> 01:33:46.022
long-standing inequities or
differences in infrastructure development,

01:33:46.055 --> 01:33:49.951
access to flood irrigation that allows
for mature vegetation. For example

01:33:49.984 --> 01:33:55.112
, uh capacity to invest in energy
efficiency. You have community

01:33:55.145 --> 01:33:59.751
characteristics, uh ethnic
composition, which can create communication

01:33:59.784 --> 01:34:04.161
challenges. It can create barriers to
understanding cultural behaviors and

01:34:04.194 --> 01:34:08.616
practices if we make assumptions about
how people operate. But it can also

01:34:08.649 --> 01:34:12.226
mean that there may be networks and
social organization that it is not

01:34:12.259 --> 01:34:17.237
really easily perceptible that serves
as an adaptive mechanism. And these

01:34:17.270 --> 01:34:21.647
are po pose challenges as we try to
think about what are good indicators

01:34:21.680 --> 01:34:25.246
of vulnerability because these are
often attributes that are very hard to

01:34:25.279 --> 01:34:29.687
get at from existing statistics. You
need to kind of be out there uh to

01:34:29.720 --> 01:34:33.576
understand uh how communities are
organized and what they know what they

01:34:33.609 --> 01:34:38.027
don't know. Then of course, you have
uh the population itself um we know

01:34:38.060 --> 01:34:43.237
in heat, uh elderly residents uh are
often particularly uh vulnerable for

01:34:43.270 --> 01:34:48.326
their physiological and health uh um
characteristics. Um But you also have

01:34:48.359 --> 01:34:51.687
different characteristics in terms of
perception of risk. If you are

01:34:51.720 --> 01:34:56.527
dealing with he on a regular basis,
this may be something that you're more

01:34:56.560 --> 01:35:01.296
willing and able to confront uh
individually if you have that the

01:35:01.329 --> 01:35:05.036
resources available than someone who
is perhaps buffered uh by the

01:35:05.069 --> 01:35:08.607
infrastructure around them. And may
not be actually thinking on a daily

01:35:08.640 --> 01:35:13.305
basis about how to cope and preparing
for that. Um And then finally, as

01:35:13.338 --> 01:35:16.925
we've, he heard from other
presentations, the public infrastructure

01:35:16.958 --> 01:35:20.967
services and access to those services
is going to provide a significant uh

01:35:21.000 --> 01:35:26.536
influence on your vulnerability. So we
can see these same features uh at a

01:35:26.569 --> 01:35:29.786
different end of the spectrum in a
neighborhood where you have perhaps

01:35:29.819 --> 01:35:35.595
more homeownership, more capacity to
invest in uh utilities and efficiency.

01:35:35.628 --> 01:35:39.536
You may have higher energy intensity
of those homes, which has other

01:35:39.569 --> 01:35:44.506
implications at higher scales in terms
of water, uh utility uh demand on

01:35:44.539 --> 01:35:50.987
grids, et cetera. Um And you may have
uh populations that have uh uh with

01:35:51.020 --> 01:35:55.482
income greater capacity to respond and
cope with an uh particular crisis

01:35:55.515 --> 01:35:59.362
event, but they may also have a lower
risk perception because they are

01:35:59.395 --> 01:36:04.640
confident in their ability to cope and
more reliant on, for example,

01:36:04.673 --> 01:36:08.171
public services, public infrastructure
and confident that that's gonna be

01:36:08.204 --> 01:36:12.101
there for them. Uh um And it may not
as we've seen in some of the current

01:36:12.134 --> 01:36:16.751
crises uh in Puerto Rico and other
places where suddenly your electric

01:36:16.784 --> 01:36:22.595
grid is not available or your
transportation network is not uh accessible.

01:36:22.628 --> 01:36:26.555
So when we're thinking about
vulnerability assessments, I think one of

01:36:26.588 --> 01:36:31.116
the things that we need to be uh
cognizant of is that any particular

01:36:31.149 --> 01:36:36.326
environmental hazard is operating in a
context that's highly dynamic. So

01:36:36.359 --> 01:36:40.885
when we think of a vile vulnerability
assessment in 2007, 2008 in the

01:36:40.918 --> 01:36:45.187
middle of the, the recession, that may
be very different context than

01:36:45.220 --> 01:36:49.616
today, uh where we might have
different population, different political uh

01:36:49.649 --> 01:36:55.187
demographic stressors that are
coincident uh with environmental stress on

01:36:55.220 --> 01:36:58.546
different populations. So we need to
understand what those trends are and

01:36:58.579 --> 01:37:02.067
how they are affecting populations
differently. We need to think of these

01:37:02.100 --> 01:37:06.826
spatial disparities and exposure to
hazards and what's behind that and

01:37:06.859 --> 01:37:10.656
particularly the histories of
investment in infrastructure and how that

01:37:10.689 --> 01:37:14.796
kind of builds up over time to create
kind of legacies in the landscape

01:37:14.829 --> 01:37:19.206
and the built environment uh that can
be hard to mediate. Um We need to

01:37:19.239 --> 01:37:23.567
think about these social inequities in
uh coping and adaptation strategies.

01:37:23.600 --> 01:37:27.336
Uh Where are those? Is it just about
income? How much of that relates to

01:37:27.369 --> 01:37:31.425
access to services and infrastructure
and then population attributes that

01:37:31.458 --> 01:37:35.956
can amplify or mediate some of those
uh sensitivities. And then I'd like

01:37:35.989 --> 01:37:39.796
to get down to the individual level
and this implies really close

01:37:39.829 --> 01:37:44.687
interaction with uh individuals in an
in uh particular context, how do

01:37:44.720 --> 01:37:48.826
people perceive their own capacity?
It's something we call self efficacy.

01:37:48.859 --> 01:37:53.055
Um Do people feel like they are
capable of adopting and coping and

01:37:53.088 --> 01:37:57.456
responding? What is the basis of that
sentiment? Is that something that is

01:37:57.489 --> 01:38:02.777
implies a reliance on other actors,
other services, public sector being

01:38:02.810 --> 01:38:07.256
there doing things for them uh or not,
how kind of self reliant uh is the

01:38:07.289 --> 01:38:11.906
population? Um And then also what
they're most worried about if, for

01:38:11.939 --> 01:38:16.675
example, heat is not the primary
concern is I think um uh is it Suzanne

01:38:16.708 --> 01:38:21.706
who uh said in terms of it could be
your utility bill or something else?

01:38:21.739 --> 01:38:25.916
Um that may be actually what's
motivating your behavior. And so trying to

01:38:25.949 --> 01:38:29.345
motivate people to take action when
they have other priorities and other

01:38:29.378 --> 01:38:35.187
immediate concerns um is not going to
be very effective. So, in short,

01:38:35.220 --> 01:38:39.496
what I would advocate for moving
forward is we really need to have a uh

01:38:39.529 --> 01:38:43.067
dialogue. And I know a lot of you are
already involved in this here in

01:38:43.100 --> 01:38:48.336
Phoenix. So this is not a novel but to
work with residents in not in of

01:38:48.369 --> 01:38:51.826
all categories and trying to
understand how do we have a shared

01:38:51.859 --> 01:38:57.251
responsibility for and building uh
capacities to vulnerability reduction.

01:38:57.284 --> 01:39:01.140
And this requires qualitative work. It
requires significantly engaged

01:39:01.173 --> 01:39:05.451
work to let people define what are the
answers to these questions here?

01:39:05.484 --> 01:39:08.461
How do they understand their own
vulnerability? And it's based on that

01:39:08.494 --> 01:39:12.430
basis that we can start making
effective strategies moving forward. Thank

01:39:12.463 --> 01:39:18.656
you.

01:39:18.689 --> 01:39:26.689
So now we're gonna have Nick Weller
for also from school sustainability.

01:39:28.619 --> 01:39:31.706
All right, good morning, everyone. Um
So I work with the uh Consortium for

01:39:31.739 --> 01:39:34.726
Science Policy and Outcomes at a su
along with the school sustainability.

01:39:34.759 --> 01:39:38.107
Uh We recently conducted a rather
large public forum as part of a project

01:39:38.140 --> 01:39:42.135
to conduct um uh public forums at uh
eight sites across the country on

01:39:42.168 --> 01:39:45.626
climate resilience. Um This, this was
funded by Noah. Um So the, the most

01:39:45.659 --> 01:39:48.196
recent one we just had in Phoenix a
couple of weeks ago, Mark Hartman was

01:39:48.229 --> 01:39:50.555
actually our, our lunchtime speaker.
He did a wonderful job. Everyone

01:39:50.588 --> 01:39:54.357
loved it. Um We, I haven't had too
much time. It was just two weeks ago to

01:39:54.390 --> 01:39:57.187
run through the data, but I'll talk a
little bit about um the structure of

01:39:57.220 --> 01:39:59.737
this type of engagement. Why we think
it's important for thinking about

01:39:59.770 --> 01:40:03.906
heat resilience um And start to
present some of the initial um findings we

01:40:03.939 --> 01:40:06.226
had.

01:40:06.259 --> 01:40:09.506
Um So the forum was based on a model
of engagement that we've used for a

01:40:09.539 --> 01:40:12.717
wide variety of other projects,
including informing decision making at

01:40:12.750 --> 01:40:17.376
NASA and helping um at some un climate
negotiations. Uh The broad goals of

01:40:17.409 --> 01:40:21.015
these particular forums were to engage
uh engage the public in learning um

01:40:21.048 --> 01:40:24.680
and making decisions about resilience,
communicating about um how these

01:40:24.713 --> 01:40:27.970
hazards like extreme heat and drought
will actually impact their community

01:40:28.003 --> 01:40:30.991
um promoting res uh informed and
respectful dialogue among the

01:40:31.024 --> 01:40:33.312
participants themselves and then
actually collecting what we're calling

01:40:33.345 --> 01:40:37.321
informed public opinion. So having
people learn about the issue um over

01:40:37.354 --> 01:40:40.951
the day long deliberation and then
actually getting their opinion about

01:40:40.984 --> 01:40:45.760
what this uh what this looked like. Um
The board on the, on the, I guess

01:40:45.793 --> 01:40:48.711
it's your right side of the screen,
no, left side of the screen. Um For

01:40:48.744 --> 01:40:50.871
all of you, that's one of the game
boards that's the center of our

01:40:50.904 --> 01:40:55.746
activity. Um The activity, we, we
asked participants to think about uh

01:40:55.779 --> 01:40:58.666
three broad strategies for dealing
with extreme heat. One was kind of uh

01:40:58.699 --> 01:41:01.876
cooling the city through shade
measures, trees, shade structures. Another

01:41:01.909 --> 01:41:04.845
one's protecting infrastructure to
make sure that um key services are

01:41:04.878 --> 01:41:07.765
available when we need them. And the
last one was thinking about um public

01:41:07.798 --> 01:41:11.256
health impacts and public safety

01:41:11.289 --> 01:41:15.095
uh to make the content we work with
partners around uh around the valley

01:41:15.128 --> 01:41:19.067
um in from uh the organizations that
you can see up on the slide. Um We,

01:41:19.100 --> 01:41:22.666
we tried to make sure that the the
actual content that we were presenting

01:41:22.699 --> 01:41:27.196
to um to the public was representative
of both kind of the scientific um

01:41:27.229 --> 01:41:29.666
um assessment that, that we're dealing
with as well as decision making

01:41:29.699 --> 01:41:33.006
priorities across all these various
organizations. Um In terms of the

01:41:33.039 --> 01:41:35.656
participants themselves, we really
focused on trying to get a diverse

01:41:35.689 --> 01:41:39.175
group um of part of public
participants to the uh to the Science Center

01:41:39.208 --> 01:41:43.317
for this forum, we had 66 people show
up, which was actually um fantastic.

01:41:43.350 --> 01:41:46.237
That is right where we wanted to be,
this map shows um based on zip code

01:41:46.270 --> 01:41:49.726
where a lot of our participants came,
they broadly represent the, the

01:41:49.759 --> 01:41:54.446
demographic diversity of the uh of the
uh um Central Arizona in terms of

01:41:54.479 --> 01:41:58.666
age education, ethnicity and income.
We were really happy with um with how

01:41:58.699 --> 01:42:03.015
uh uh the group turned out um in terms
of the actual uh some of the

01:42:03.048 --> 01:42:07.055
initial initial results. Um And these
are actually based on some of some

01:42:07.088 --> 01:42:09.425
of the other forms that we've done in
other cities. Not yet the Phoenix

01:42:09.458 --> 01:42:12.326
stuff because we haven't had time to,
to analyze them. Um But forum

01:42:12.359 --> 01:42:15.777
participants actually learn a lot
about climate resilience at these um at

01:42:15.810 --> 01:42:19.635
these events. Um So you can see that
in the, in the two, the two graphs on

01:42:19.668 --> 01:42:23.496
the, on your left about the increase
in knowledge um about strategies and

01:42:23.529 --> 01:42:26.416
the increase in knowledge about uh the
impacts of the strategies for

01:42:26.449 --> 01:42:30.135
dealing with heat have on community
that dark yellow is the um perce

01:42:30.168 --> 01:42:34.836
percentage of respondents that said um
um they, their knowledge increased

01:42:34.869 --> 01:42:39.135
a lot. Um On the other side, um We
also see that participants by engaging

01:42:39.168 --> 01:42:41.925
in these kinds of deliberations, uh
become more interested in learning

01:42:41.958 --> 01:42:44.777
about these hazards. Um And they
become more interested in actually seeing

01:42:44.810 --> 01:42:48.116
action at the local level uh to deal
with these hazards. Um which is what

01:42:48.149 --> 01:42:51.906
those two charts on the right show. Um
In terms of some of the other data

01:42:51.939 --> 01:42:54.836
we've collected, there's lots and lots
of participant recordings, notes,

01:42:54.869 --> 01:42:57.607
things like that, more qualitative
data and we haven't had time to call

01:42:57.640 --> 01:43:01.567
through. Um but we do see some um some
um encouraging things on a lot of

01:43:01.600 --> 01:43:04.286
that data. For instance, we know that
a lot of the participants think

01:43:04.319 --> 01:43:08.196
about these uh problems in a very
complex way. Uh One of the tables at our

01:43:08.229 --> 01:43:13.220
uh forum suggested very uh diverse uh
response to thinking about heat. Um

01:43:13.253 --> 01:43:17.131
combining uh impact or combining
strategies from uh thinking about cooling

01:43:17.164 --> 01:43:20.680
a city, protecting infrastructure um
and protecting public health. Uh And

01:43:20.713 --> 01:43:23.321
they recognize the interconnections
between all those things that it's not

01:43:23.354 --> 01:43:27.592
a one sided problem. Much as like uh
much as uh we've heard today through

01:43:27.625 --> 01:43:31.555
um all the other presentations um in
terms of the opinions of what people

01:43:31.588 --> 01:43:34.857
actually preferred. Uh Most people saw
that protecting infrastructure and

01:43:34.890 --> 01:43:37.916
thinking about keeping key services
available during extreme heat events

01:43:37.949 --> 01:43:40.586
was their, was their most uh their
number one priority. And there's some

01:43:40.619 --> 01:43:43.987
illustrative quotes we have up there
about that um cooling the city for

01:43:44.020 --> 01:43:47.626
thermal comfort reasons. And to um and
to reduce the urban he heat island

01:43:47.659 --> 01:43:51.737
impact was a secondary focus. And
finally ensuring safety was another one

01:43:51.770 --> 01:43:56.666
um from examining the um audio
recordings from, from um and the notes from

01:43:56.699 --> 01:43:58.805
all this, we'll actually be able to
get a lot more data and not

01:43:58.838 --> 01:44:02.967
necessarily this, these broad
percentages uh but much more rich data about

01:44:03.000 --> 01:44:06.107
why people are thinking about these
things. Why is it that um protecting

01:44:06.140 --> 01:44:08.446
infrastructure might have been more
important to someone rather than

01:44:08.479 --> 01:44:11.126
protecting uh that? Right, rather than
thinking about providing shade for

01:44:11.159 --> 01:44:13.726
the community. Um So we're, we're
really looking forward to looking

01:44:13.759 --> 01:44:17.567
through some of that data. Um and
coming up with uh coming up with some um

01:44:17.600 --> 01:44:21.425
some interesting findings on, on what
local residents are thinking, why,

01:44:21.458 --> 01:44:23.987
why they're prioritizing the things
they're prioritizing and what that

01:44:24.020 --> 01:44:32.020
might mean for the future of making a
cooler Phoenix. Thanks.

01:44:32.918 --> 01:44:39.286
Thanks Nick. So now we have uh Marta
Barbes Blazquez.

01:44:39.319 --> 01:44:47.319
OK, good. Well done, well done. I am
impressed. Um Thank you. Um Yeah. Can

01:44:48.149 --> 01:44:53.476
you hear me? Yeah. Um So yeah, so I am
Marta Pervez and I'm a postdoctoral

01:44:53.509 --> 01:44:57.737
fellow with the School of
Sustainability. Um And today I'm here to talk

01:44:57.770 --> 01:45:02.446
about a course uh that I've been
involved with this term um As well today

01:45:02.479 --> 01:45:07.527
, I'm here on behalf of the actual
course, instructors who are Paul Cosio

01:45:07.560 --> 01:45:12.866
and Alice uh Hargrove and they
couldn't make it. Um So sorry. Uh The

01:45:12.899 --> 01:45:17.317
course in question is the cooler
Phoenix neighborhoods. Um And we're

01:45:17.350 --> 01:45:23.635
taking South Mountain Village as a, as
a case study. So um I'm gonna

01:45:23.668 --> 01:45:26.765
highlight a couple of interesting
aspects of this course. And then at the

01:45:26.798 --> 01:45:31.687
end, I'm gonna uh maybe throw an
opportunity uh uh for interacting with

01:45:31.720 --> 01:45:37.666
the city of Phoenix. Um So the course
is offered this term and it combines

01:45:37.699 --> 01:45:42.187
upper year uh undergraduate students
from the School of Design and it's

01:45:42.220 --> 01:45:47.147
also cross listed. Um And so it brings
together uh the students uh from

01:45:47.180 --> 01:45:51.397
the School of Design as well as phd
students from the School of

01:45:51.430 --> 01:45:54.996
Sustainability. A couple of them are
are in the room. And so I think that

01:45:55.029 --> 01:45:58.876
is interesting um to bring those
different types of expertise because

01:45:58.909 --> 01:46:03.006
that's where you create those space
spaces for innovation and for thinking

01:46:03.039 --> 01:46:06.885
differently. Um as well as kind of
need to work with the students who are

01:46:06.918 --> 01:46:10.055
upper level because it's not just
about giving them um more theoretical

01:46:10.088 --> 01:46:13.906
framing, but actually they get to do
things. And so this is actually one

01:46:13.939 --> 01:46:17.796
of the pictures of our first site
visit where the students really get to

01:46:17.829 --> 01:46:22.687
know the area. So I, I think I, I
really appreciate like the practical

01:46:22.720 --> 01:46:26.635
aspect of the course um as well. The
course tries to bring together

01:46:26.668 --> 01:46:31.196
different people um and different uh
projects and initiatives that are

01:46:31.229 --> 01:46:35.687
occurring um at a su so things that
are happening at the School of Design

01:46:35.720 --> 01:46:39.885
, uh things that are happening at the,
which is the urban resilience to

01:46:39.918 --> 01:46:44.769
extreme events, sustainability
Research Network, which Um I'm part of um

01:46:44.802 --> 01:46:48.469
as well as previous work that has been
done in, in Phoenix in the long

01:46:48.502 --> 01:46:53.879
term ecological research uh station.
And so we're trying to uh articulate

01:46:53.912 --> 01:46:56.888
a little bit better and coordinate a
little bit better uh at the A sc

01:46:56.921 --> 01:47:00.488
level, but also reaching out to the
community. Uh So some of the, you know

01:47:00.521 --> 01:47:04.082
, we cannot get the students, not in
this iteration of the course, we

01:47:04.115 --> 01:47:07.802
cannot get the students to work with
the community. But at least we try to

01:47:07.835 --> 01:47:10.213
bring the community to them, which is
sort of like the second best uh

01:47:10.246 --> 01:47:13.982
thing that we can do. So, uh there's a
lot of speakers from, from the

01:47:14.015 --> 01:47:17.003
community uh that come and, you know,
they give their perspectives and

01:47:17.036 --> 01:47:21.411
they try to just create a more well
rounded um idea about uh South

01:47:21.444 --> 01:47:26.956
Mountain Village. Um So, yes, so I
just listen to a couple of the speakers

01:47:26.989 --> 01:47:31.687
that have come. Uh And what is it that
the students do in the course? Um

01:47:31.720 --> 01:47:35.496
So they have the, there's three parts
of the course, the first uh part,

01:47:35.529 --> 01:47:39.635
we're trying to get them to think
about uh the, the, the regional scale

01:47:39.668 --> 01:47:45.376
and the local scale. And so uh how
maybe regional trends you um are

01:47:45.409 --> 01:47:49.437
connected to local uh things that they
are observing and some of the cross

01:47:49.470 --> 01:47:54.286
cutting themes that they are tackling
are uh people. So like social um

01:47:54.319 --> 01:47:58.357
questions that are South Mountain
that, that emerge from South uh mountain

01:47:58.390 --> 01:48:04.496
Village um as well, heat figures
prominently uh water connectivity and as

01:48:04.529 --> 01:48:08.095
well as wildlife corridors. And so
those are cross cutting themes and the

01:48:08.128 --> 01:48:11.817
students are bringing together data
and are trying to uh figure out where

01:48:11.850 --> 01:48:15.696
are the points of connection. And you
know, uh they have a little bit of

01:48:15.729 --> 01:48:20.086
free range. So it's interesting to see
uh how they're making sense of and

01:48:20.119 --> 01:48:25.237
of the connections uh between these
themes. And then uh the second part

01:48:25.270 --> 01:48:29.916
which they are starting to work on now
is to uh develop a master plan

01:48:29.949 --> 01:48:33.656
where they're trying to give some
recommendations on how we could use

01:48:33.689 --> 01:48:38.226
green infrastructure um to improve
South Mountain Village. So, and th

01:48:38.259 --> 01:48:42.616
those would be high level
recommendations. Um And the last thing that they

01:48:42.649 --> 01:48:48.055
haven't started working on, but they
will um is to do uh to take it one

01:48:48.088 --> 01:48:52.366
level more concrete and to actually do
a site scale uh demonstration. So

01:48:52.399 --> 01:48:57.786
take one little piece that could be a
bus stop, that could be a portion of

01:48:57.819 --> 01:49:02.256
a street uh a parcel. So something
small but that, that they can actually

01:49:02.289 --> 01:49:07.345
design. Um And so Paul did tell me to
let you know that is not too late to

01:49:07.378 --> 01:49:11.286
include if you have something that,
that is uh site scale and that you

01:49:11.319 --> 01:49:14.967
think that it would be interesting to
have some uh design students aided

01:49:15.000 --> 01:49:19.647
by some uh phd students uh work on
and, and come up with some interest in

01:49:19.680 --> 01:49:25.187
innovative design. Um you know, find
me after and uh we can talk. Thank

01:49:25.220 --> 01:49:31.336
you.

01:49:31.369 --> 01:49:35.586
Thanks. So, I'm gonna introduce
Melissa Davison. It's also with the school

01:49:35.619 --> 01:49:37.956
Sustainability.

01:49:37.989 --> 01:49:41.746
Thanks, Ray. Good morning, everyone.
I'm Melissa Davidson School

01:49:41.779 --> 01:49:44.765
Sustainability. And I'm here to talk
to you today about future scenarios

01:49:44.798 --> 01:49:49.656
for the Phoenix region uh for the past
2.5 years cap A researchers have

01:49:49.689 --> 01:49:53.116
been working with over 20 governmental
and nongovernmental organizations

01:49:53.149 --> 01:49:56.786
to envision the future, the long term
future of the Phoenix region. And

01:49:56.819 --> 01:50:01.175
this slide is kind of a snapshot of
that effort. Um We developed six

01:50:01.208 --> 01:50:04.067
different visions for the future. And
again, this is long term future

01:50:04.100 --> 01:50:07.496
thinking. 2060 I'm gonna briefly go
through each of the scenarios to give

01:50:07.529 --> 01:50:09.857
you an idea of the different themes
that we explored and the different

01:50:09.890 --> 01:50:13.586
strategies that they employ. Uh the
top row represents our adaptive

01:50:13.619 --> 01:50:17.416
scenarios and these were designed to
respond to a specific climate event.

01:50:17.449 --> 01:50:21.055
Uh You can see adaptive flood, the
feature there is a multi scale network

01:50:21.088 --> 01:50:24.687
of floodplains parks and during
extreme precipitation events, the freeway

01:50:24.720 --> 01:50:28.567
system even becomes an emergency
floodplain. The drought scenario focuses

01:50:28.600 --> 01:50:32.317
on long term water security through
banking and conservation. You can see

01:50:32.350 --> 01:50:35.437
that the agriculture and urban
development in that future decreases

01:50:35.470 --> 01:50:39.567
significantly to help achieve those
goals. The adaptive heat uh was really

01:50:39.600 --> 01:50:43.107
focused on human scale thermal comfort
and uh heat equity addressed

01:50:43.140 --> 01:50:46.456
through green and gray infrastructure
specifically um concentrated in

01:50:46.489 --> 01:50:50.515
currently underserved areas. Our
bottom row represents these kind of

01:50:50.548 --> 01:50:53.796
radical departures from the status
quo. These are our transformative

01:50:53.829 --> 01:50:56.946
scenarios and that's really evident in
the healthy harvest hubs where you

01:50:56.979 --> 01:51:00.906
can see we re envisioned urban form
food and our energy system and someone

01:51:00.939 --> 01:51:03.906
was a little wacky but it was kind of
fun. The middle one is the Emerald

01:51:03.939 --> 01:51:07.277
City and that one ended up balancing
targets for heat, drought and flood.

01:51:07.310 --> 01:51:09.937
And they did this through a variety of
really interesting design

01:51:09.970 --> 01:51:13.996
techniques such as on site water
capture and reuse to support vegetation

01:51:14.029 --> 01:51:18.345
for cooling. And our last one is our
waste scenario. And uh this sort of

01:51:18.378 --> 01:51:21.956
idealized the future, they reduced
water energy and material waste through

01:51:21.989 --> 01:51:26.607
various reuse development um and
efficiency standards. So you can see that

01:51:26.640 --> 01:51:30.147
this is a really diverse set of
futures and the uh different themes have

01:51:30.180 --> 01:51:34.095
been emphasized and that's a really um
unique feature of this project and

01:51:34.128 --> 01:51:37.717
it allows us to think about heat and
the multiple interacting scales at

01:51:37.750 --> 01:51:42.277
which uh we've heard heat occurs
today. So for instance, um one of the

01:51:42.310 --> 01:51:45.055
scenarios like I mentioned, adaptive
heat was really interested in thermal

01:51:45.088 --> 01:51:47.717
comfort. And what are the strategies
that can, that can really help

01:51:47.750 --> 01:51:50.836
improve thermal comfort and walk
ability, shade provision. We've heard

01:51:50.869 --> 01:51:53.675
some of those today and we can think
about a particular place and what

01:51:53.708 --> 01:51:57.437
those strategies look like and then
zoom out to the city scale and see how

01:51:57.470 --> 01:52:00.135
those if that's the standard across
our urban environment. What does that

01:52:00.168 --> 01:52:03.317
mean for urban Heat Island?
Conversely, we can start with Urban Heat

01:52:03.350 --> 01:52:06.696
Island and think about surface
temperature. Uh and what are the particular

01:52:06.729 --> 01:52:09.756
land use and infrastructure strategies
that are gonna mitigate urban Heat

01:52:09.789 --> 01:52:13.001
Island at a regional scale and zoom
into particular places and see how

01:52:13.034 --> 01:52:16.281
that plays out for thermal comfort. We
can also think about other elements

01:52:16.314 --> 01:52:19.140
that have been talked about today that
are important health and heat, heat

01:52:19.173 --> 01:52:22.661
related mortality, energy use. I mean,
those can be entry points to think

01:52:22.694 --> 01:52:26.281
about heat specific strategies and we
can explore what that means for heat

01:52:26.314 --> 01:52:30.305
at the local and the regional scale.
Just to give you an example of how

01:52:30.338 --> 01:52:33.226
this plays out in one of our
scenarios. This is the Emerald City again

01:52:33.259 --> 01:52:35.946
sort of a fan favorite among our
participants. And you can see that it

01:52:35.979 --> 01:52:39.217
performs really, really well in terms
of Urban Heat Island, it mitigates

01:52:39.250 --> 01:52:43.737
it well, it's very cool and a lot of
that is due to the massive changes in

01:52:43.770 --> 01:52:47.425
green infrastructure and reduction in
impervious surfaces. But if you zoom

01:52:47.458 --> 01:52:50.866
into a place that's pretty cool
regionally, there are still significant

01:52:50.899 --> 01:52:53.555
temperature differences depending on
where you're standing in this future.

01:52:53.588 --> 01:52:56.746
If you're not under a tree under a
shade structure by the canal, it's

01:52:56.779 --> 01:52:59.656
still really, really hot. So we can
explore how some of these strategies

01:52:59.689 --> 01:53:04.576
scale up or do not and scale down or
do not. Another element of scenarios

01:53:04.609 --> 01:53:07.746
that's really fun is considering
tradeoffs, not just among heat in

01:53:07.779 --> 01:53:11.527
different scales of heat, but other um
urban services that are important

01:53:11.560 --> 01:53:15.656
such as the provision of water and
water availability. Um The point of

01:53:15.689 --> 01:53:18.027
this slide is that one of these
scenarios is really, really hot, it's red

01:53:18.060 --> 01:53:21.946
, it does not rem mitigate the Urban
Heat Island well, but it performs

01:53:21.979 --> 01:53:25.107
better in terms of banking water. This
figure is banked water over time.

01:53:25.140 --> 01:53:28.506
You can think about this as sort of a
water security figure. Um and the

01:53:28.539 --> 01:53:32.336
Emerald City which is actually quite
cool, performs less well in terms of

01:53:32.369 --> 01:53:34.946
water security. And that is largely a
result of the water needed to

01:53:34.979 --> 01:53:38.067
support that massive greening
citywide. So these are sorts of some of the

01:53:38.100 --> 01:53:42.317
sorts of things that we can explore um
in our scenario work. And the last

01:53:42.350 --> 01:53:45.156
thing I wanna point out is where we're
going. Uh We've done this region

01:53:45.189 --> 01:53:48.607
wide and while we've been able to zoom
into particular places, we actually

01:53:48.640 --> 01:53:51.967
wanna get into a village and think
about what does a vision in the future

01:53:52.000 --> 01:53:54.897
for South Mountain village look like
and largely for the many of the

01:53:54.930 --> 01:53:57.425
reasons that were already discussed
today. This village was chosen because

01:53:57.458 --> 01:54:02.031
of its uh disproportionate. Um The
disproportionate heat impacts in that

01:54:02.064 --> 01:54:05.612
area. We want to explore Urban Heat
Island extreme heat and health, as

01:54:05.645 --> 01:54:09.581
long as, as well as other categories
such as transportation, flooding and

01:54:09.614 --> 01:54:13.430
drought and compare what strategies
work well at the local village scale

01:54:13.463 --> 01:54:20.987
as well as at the regional scale.
Thanks,

01:54:21.020 --> 01:54:24.786
thanks Melissa. So now we're gonna
have Matt Georgescu from the School of

01:54:24.819 --> 01:54:31.996
Geographical Sciences and Urban
Planning. Matt. Thanks.

01:54:32.029 --> 01:54:35.546
Thank you, Ray. Thank you everybody.
Uh The purpose of uh the next five

01:54:35.579 --> 01:54:40.976
minutes or so is for me to provide a
uh an assessment of the utility of

01:54:41.009 --> 01:54:44.765
climate models to address some of the
uh heat issues that we've been

01:54:44.798 --> 01:54:49.696
discussing so far from a local to a
regional scale. And so when we're

01:54:49.729 --> 01:54:53.906
thinking about climate models, it's
very important to keep in mind that

01:54:53.939 --> 01:54:58.406
these are process based uh models,
they are not crystal balls. Uh We have

01:54:58.439 --> 01:55:02.756
to ensure that they properly represent
uh observed historical

01:55:02.789 --> 01:55:07.527
meteorological representation. So I'm
showing you uh a few things on uh my

01:55:07.560 --> 01:55:13.006
left, on your right, the top panel and
the bottom panel are two stations,

01:55:13.039 --> 01:55:19.456
Phoenix and Sacaton uh near surface
temperatures from about 19 forties uh

01:55:19.489 --> 01:55:24.086
to about 2015. This is data that was
extended from a recent publication

01:55:24.119 --> 01:55:27.616
that we had, that was provided to me
by a colleague from uh School of

01:55:27.649 --> 01:55:31.305
Mathematical and Statistical Sciences,
Mohammed Mousawi. And you see a

01:55:31.338 --> 01:55:35.925
couple of striking differences between
the uh two stations on the uh right

01:55:35.958 --> 01:55:41.135
hand side, Phoenix, the uh red line or
the red uh dots, the average

01:55:41.168 --> 01:55:44.406
temperature has been increasing and
we're all aware of that, but we may

01:55:44.439 --> 01:55:49.826
not be aware of what is driving that
as much. And um that becomes quite

01:55:49.859 --> 01:55:54.476
obvious when we compare and contrast
panel A to panel B Sacaton. Once

01:55:54.509 --> 01:55:58.265
again, we look at the red contour and
we see an increase in temperature uh

01:55:58.298 --> 01:56:03.946
of roughly half that compared to
Phoenix. And so we ask ourselves, what is

01:56:03.979 --> 01:56:07.586
the difference between these two
stations? One of them uh within an urban

01:56:07.619 --> 01:56:12.476
core has been surrounded by urbanizing
parcels for decades and decades.

01:56:12.509 --> 01:56:17.527
And one is not. And we diagnosed this
through um a difference in the darn

01:56:17.560 --> 01:56:20.076
temperature range, the difference
between the maximum and the minimum

01:56:20.109 --> 01:56:25.416
temperature. That is the uh blue line
that you see decreasing for Phoenix.

01:56:25.449 --> 01:56:29.476
In other words, our minima are
increasing with each subsequent uh year.

01:56:29.509 --> 01:56:33.397
That is not the case for Sacaton,
which is not urbanizing. And so it is

01:56:33.430 --> 01:56:36.446
very important to keep in context
whenever we're doing any sort of uh

01:56:36.479 --> 01:56:40.866
meteorological or climatological
modeling to keep in context that we need

01:56:40.899 --> 01:56:44.946
not just an average temperature but a
representative temperature that

01:56:44.979 --> 01:56:48.467
appropriately characterizes the entire
diurnal cycle. In other words,

01:56:48.500 --> 01:56:52.217
every single hour of every day. And we
try to do this in most of our work

01:56:52.250 --> 01:56:56.147
and compare our uh in in our case, the
weather research and forecasting

01:56:56.180 --> 01:56:59.876
model on the right hand side, the uh
red contour and compare that to

01:56:59.909 --> 01:57:04.522
observed values and try to ensure that
the evolution of temperature

01:57:04.555 --> 01:57:08.831
throughout the day. Because as humans,
we don't live in an average world,

01:57:08.864 --> 01:57:13.211
we live in a world of extremes that
might be that we're outside at 5 p.m.

01:57:13.244 --> 01:57:15.991
when the maximum temperature is
recorded or it might be that we're outside

01:57:16.024 --> 01:57:20.456
at 5 a.m. or at some intervening time.

01:57:20.489 --> 01:57:24.675
So uh a lot of what's on this slide
has already been discussed, but I just

01:57:24.708 --> 01:57:28.206
want to briefly say that our
meteorological and climatological models must

01:57:28.239 --> 01:57:32.967
of course include the receipt and and
and properly characterize the

01:57:33.000 --> 01:57:36.732
receipt of incoming solar radiation by
the built environment facades

01:57:36.765 --> 01:57:40.842
network, so on and so forth and
appropriately characterized the way we

01:57:40.875 --> 01:57:43.842
utilize energy. So Dave Saylor already
talked about anthropogenic heating

01:57:43.875 --> 01:57:48.522
, for example, uh what sort of
irrigation systems that we use? Uh the

01:57:48.555 --> 01:57:51.921
density of buildings, the
morphological characteristics that we have heard

01:57:51.954 --> 01:57:56.317
about previously and some of the
adaptation strategies that we are all

01:57:56.350 --> 01:58:02.027
very familiar green roofs, uh trees
for provision of straight uh shading

01:58:02.060 --> 01:58:06.385
structures, uh cool materials, not
just cool roofs. These are all

01:58:06.418 --> 01:58:10.586
essential elements that can
essentially be used as plug and play into our

01:58:10.619 --> 01:58:14.305
numerical framework so that we can
address some of the implications

01:58:14.338 --> 01:58:18.256
associated with these different land
use strategies. And some of the work

01:58:18.289 --> 01:58:22.296
that we've uh conducted initially for
Arizona and then on a uh scale for

01:58:22.329 --> 01:58:26.857
the entire uh continental United
States uh really characterizes the effect

01:58:26.890 --> 01:58:32.376
of the principal forcing agents that
um govern the way cities are changing

01:58:32.409 --> 01:58:35.826
from a climatic perspective. And that
is to say that we tend to think

01:58:35.859 --> 01:58:40.817
about uh our urban climate as in a
vacuum. But in actual reality, there

01:58:40.850 --> 01:58:45.027
are two stressors that impact the
meteorology and the climate within urban

01:58:45.060 --> 01:58:49.357
environments. And those are the uh
effect of greenhouse gas emissions and

01:58:49.390 --> 01:58:53.107
the impact of the build
infrastructure. And so the panels uh that you see

01:58:53.140 --> 01:58:57.366
in front of you uh are a simple ratio
of the impact of urban induced

01:58:57.399 --> 01:59:01.746
warming. This is for scenarios
conducted uh with data obtained from the

01:59:01.779 --> 01:59:05.527
Maricopa Association of Governments
and then input into our uh climate

01:59:05.560 --> 01:59:09.546
models. They are a ratio of urban
induced warming relative to greenhouse

01:59:09.579 --> 01:59:13.116
gas emissions. Uh And what you see
here really the take home message is

01:59:13.149 --> 01:59:16.717
that these two forcing agents, these
two stressors in terms of temperature

01:59:16.750 --> 01:59:21.326
are are of similar order of magnitude
simultaneously. That's good news and

01:59:21.359 --> 01:59:24.616
that's bad news from a global
perspective, we cannot change. For example,

01:59:24.649 --> 01:59:28.937
the emissions of Los Angeles or Tokyo
or New York City. On the flip side,

01:59:28.970 --> 01:59:33.937
we can't change how we uh structure
and design our uh land surface

01:59:33.970 --> 01:59:38.925
characteristics specific to our
particular city. And so you've already

01:59:38.958 --> 01:59:43.246
heard uh Melissa uh initiate
discussion about the designing of future

01:59:43.279 --> 01:59:46.885
scenarios. And so these are the uh
same representations from a land

01:59:46.918 --> 01:59:53.446
surface perspective of the uh futures
uh work that she has been leading.

01:59:53.479 --> 01:59:57.906
Uh this is work that is in preparation
and we've run this uh these land

01:59:57.939 --> 02:00:02.055
surface conditions and put them into
our regional climate models to try to

02:00:02.088 --> 02:00:05.987
diagnose what the impacts are across
the darnel scale in terms of 2 m

02:00:06.020 --> 02:00:09.076
temperature. And what you see from one
of these scenarios, strategic

02:00:09.109 --> 02:00:12.086
scenarios, which is essentially a
complete replacement of existing

02:00:12.119 --> 02:00:16.817
agriculture to urban infrastructure
and an infill of currently vacant uh

02:00:16.850 --> 02:00:22.175
spaces within the Phoenix um uh
borders and the uh adjacent metropolitan

02:00:22.208 --> 02:00:26.536
area. And what we see here is that for
daytime impact. So the image that

02:00:26.569 --> 02:00:31.805
states 5 p.m. there are not really
noticeable effects on 2 m temperature,

02:00:31.838 --> 02:00:35.156
right? So when we're thinking about
urban heat Island, the daytime effect

02:00:35.189 --> 02:00:38.996
is really negligible. But when we're
looking at five m again against the

02:00:39.029 --> 02:00:43.055
entirety of the diurnal cycle, what we
see is a significant increase on

02:00:43.088 --> 02:00:49.647
the order of about two °C, 2 to 3 °C
or about 4 to 6 °F. With that said,

02:00:49.680 --> 02:00:52.555
I'll wrap it up there because I'm
getting the uh stink eye from our

02:00:52.588 --> 02:00:56.876
wonderful colleague, uh happy to
extend the uh conversation and really to

02:00:56.909 --> 02:01:00.786
work with many of you on some uh of
the exciting collaborations that I

02:01:00.819 --> 02:01:06.746
think are emerging here. Thank you.

02:01:06.779 --> 02:01:09.987
So now we have Matt Fraser from the
School of Sustainable Engineering and

02:01:10.020 --> 02:01:13.876
build Environment. Thank you. Um
Before I begin, let me just thank uh

02:01:13.909 --> 02:01:17.027
everybody. Well, first of all, the
organizers for this opportunity to kind

02:01:17.060 --> 02:01:20.536
of change topics and talk a little bit
about air quality and thanks to all

02:01:20.569 --> 02:01:24.357
of you for your attention uh, here
today. So I'm gonna do things a little

02:01:24.390 --> 02:01:27.616
different. Uh I want to tell you about
some of the air quality, uh,

02:01:27.649 --> 02:01:32.046
studies that my group has, um, uh,
helped lead uh, here in the valley. Uh

02:01:32.079 --> 02:01:35.067
, and I'm not going to give you the
conclusions. I'm gonna make you fill

02:01:35.100 --> 02:01:38.765
out one of these forms or, or talk to
me afterwards uh to get more

02:01:38.798 --> 02:01:41.706
information about the details of what
we found through these studies.

02:01:41.739 --> 02:01:44.737
First, uh the first one that's located
up there. Uh One of our first

02:01:44.770 --> 02:01:47.717
studies here in the Valley was on the
urban fringe. Uh And the urban

02:01:47.750 --> 02:01:51.845
Fringe is interesting because you have
this influx of urban sources such

02:01:51.878 --> 02:01:57.226
as transportation and existing
agricultural sources and a new population

02:01:57.259 --> 02:02:00.256
that's suddenly being exposed to this.
So we wanted to understand what the

02:02:00.289 --> 02:02:04.246
sources are on the urban fringe. Uh We
also looked um as Mark mentioned at

02:02:04.279 --> 02:02:08.567
the beginning, sometimes two
communities very geographically close can

02:02:08.600 --> 02:02:11.726
have very different environments. And
so the second study up there, we

02:02:11.759 --> 02:02:15.406
actually had two sites in South
Phoenix. Uh And we had one site in Tempe

02:02:15.439 --> 02:02:19.796
and we are comparing and contrasting
the exposure of those communities to

02:02:19.829 --> 02:02:23.925
heavy metal specifically uh and also
to other particulate air pollutants

02:02:23.958 --> 02:02:27.857
um to understand how different
communities get exposed even though they're

02:02:27.890 --> 02:02:31.756
geographically quite so quite close
together. Uh The third study which is

02:02:31.789 --> 02:02:35.206
off the map is actually down in Pinal
County. Uh And we were looking at

02:02:35.239 --> 02:02:38.826
the contribution of course
particulates to their local air quality issues

02:02:38.859 --> 02:02:42.317
down in Pinal County. And while a lot
of the focus is on fine particles

02:02:42.350 --> 02:02:46.317
from things like diesel vehicles, uh
the co contribution is also important

02:02:46.350 --> 02:02:49.777
to characterize. And then finally, the
fourth study up there, we had two

02:02:49.810 --> 02:02:53.067
sites uh and we actually had one site
about five miles north of here. Um

02:02:53.100 --> 02:02:57.067
looking at the composition of organic
vapors uh because those are some of

02:02:57.100 --> 02:03:00.416
the emissions that contribute to
ground level ozone formation. Uh and

02:03:00.449 --> 02:03:04.467
looking at the ambient measurement of
those vapors and saying, what can we

02:03:04.500 --> 02:03:08.746
find out about the ambient
measurements? And how does that compare uh to

02:03:08.779 --> 02:03:12.467
what the emission inventories uh are
doing? So we did one site just uh

02:03:12.500 --> 02:03:16.187
north of here and then one site way
out on the urban fringe in uh Queen

02:03:16.220 --> 02:03:20.796
Valley uh as a comparison uh back and
forth between there. Now, maybe I uh

02:03:20.829 --> 02:03:24.296
have skipped ahead already and I wanna
um make sure that you appreciate

02:03:24.329 --> 02:03:29.116
that there is a link between urban
heat and urban air quality. Uh And

02:03:29.149 --> 02:03:32.616
maybe I'm preaching to the choir here.
Uh But first, you should appreciate

02:03:32.649 --> 02:03:36.536
that the pollutants of concern here
being ground level ozone and

02:03:36.569 --> 02:03:40.726
particulate air pollutants are linked
to health outcomes. Uh whether you

02:03:40.759 --> 02:03:44.116
look at things like hospitalizations
due to asthma uh or other

02:03:44.149 --> 02:03:47.246
epidemiological studies here in
Phoenix, we know that the exposure to

02:03:47.279 --> 02:03:50.916
these pollutants uh is causing a
health impact. And so when we talk about

02:03:50.949 --> 02:03:55.036
the burden of heat, uh we should also
think about how does that correspond

02:03:55.069 --> 02:03:58.496
or how does that augment or how does
that exacerbate the impacts

02:03:58.529 --> 02:04:03.296
associated uh with air quality? And
the next thing I want to tell you is

02:04:03.329 --> 02:04:08.675
that increased temperatures do result
in increased emissions. Now, an air

02:04:08.708 --> 02:04:12.107
quality person like me, we talk about
breathing emissions and I'm not

02:04:12.140 --> 02:04:17.175
talking about breath. Uh I'm talking
about organic volatile material which

02:04:17.208 --> 02:04:22.527
is stored. Uh and as things get hot
things expand uh and things volatilize.

02:04:22.560 --> 02:04:26.166
Uh And so you'll get emissions of
gasoline vapors uh to the atmosphere

02:04:26.199 --> 02:04:29.456
just by changing temperatures because
things expand and contract, expand

02:04:29.489 --> 02:04:32.906
and contract. We've done a very good
job with things like automobiles by

02:04:32.939 --> 02:04:37.126
having sealing gas cans. Uh So you
don't have your car sitting in the sun

02:04:37.159 --> 02:04:41.116
getting hot and emitting vapors to the
atmosphere, but there are still a

02:04:41.149 --> 02:04:45.817
lot of breathing emissions out there,
whether it's uh backyard, gasoline

02:04:45.850 --> 02:04:50.586
powered lawn mowers or gasoline
storage uh in small gasoline containers.

02:04:50.619 --> 02:04:54.536
That still is an important thing. And
the other impact of increased

02:04:54.569 --> 02:04:58.777
temperatures is in what I'll call
fugitive dust emissions. Fugitive dust

02:04:58.810 --> 02:05:02.265
emissions is exactly what it sounds
like it's dust from a variety of

02:05:02.298 --> 02:05:06.506
sources. And one of the biggest
impacts on fugitive dust emissions is soil

02:05:06.539 --> 02:05:11.357
moisture and increasing temperatures
decreases soil moisture. So as

02:05:11.390 --> 02:05:14.376
temperatures get hot, you get higher
emissions of these fugitive emissions

02:05:14.409 --> 02:05:20.067
, whether it's from construction sites
in the center of the city, uh or

02:05:20.100 --> 02:05:24.376
abandon agriculture at the edge of the
city. Uh increasing temperatures is

02:05:24.409 --> 02:05:27.555
leading to increased fugitive
emissions. Now, what are we going to do

02:05:27.588 --> 02:05:32.156
about this? I want to say that there
are opportunities to go after both

02:05:32.189 --> 02:05:38.916
urban heat and air quality through
solutions. And you know, maybe I don't

02:05:38.949 --> 02:05:41.876
want to offend anybody in this room.
Uh And maybe this is a little

02:05:41.909 --> 02:05:45.706
controversial, but the first thing I
wanna tell you, there is absolutely

02:05:45.739 --> 02:05:53.696
positively no air quality benefit of
driving around an empty bus. So what

02:05:53.729 --> 02:05:58.095
we should do is we should focus on the
improving the appeal of mass

02:05:58.128 --> 02:06:02.656
transit. A lot of people have talked
about improving or reducing barriers

02:06:02.689 --> 02:06:07.546
to people taking mass transit and
along with mass transit, alternative

02:06:07.579 --> 02:06:11.817
transportation also includes walking,
biking and all those things that can

02:06:11.850 --> 02:06:18.296
be improved by addressing barriers and
one of the barriers is heat.

02:06:18.329 --> 02:06:22.366
Next, let me also mention that we're
in the middle of a massive deployment

02:06:22.399 --> 02:06:27.675
of surfaces, whether those are urban
forestry or shade structures or even

02:06:27.708 --> 02:06:31.567
our photovoltaic systems. We're
putting these massive amounts of surface

02:06:31.600 --> 02:06:36.027
area out there and we should take the
opportunity to think strategically

02:06:36.060 --> 02:06:40.586
about how surfaces can remove air
pollutants

02:06:40.619 --> 02:06:44.277
and finally fugitive dust emissions.
This is something that I think uh A

02:06:44.310 --> 02:06:48.015
SS U has a lot of active research in
uh these include large area

02:06:48.048 --> 02:06:52.576
treatments. So think of abandoned
agriculture at the edge of the city. How

02:06:52.609 --> 02:06:57.015
can we treat those to mitigate dust
and also more localized treatment uh

02:06:57.048 --> 02:07:01.726
in uh uh construction sites near the
urban core. So with that, I will uh

02:07:01.759 --> 02:07:08.027
step down and thank you very much for
your attention.

02:07:08.060 --> 02:07:14.317
Last, but not least we have Melissa
Guererro and um I wanna add something.

02:07:14.350 --> 02:07:19.416
Melissa has been really at the center
of everything you've seen today. Um

02:07:19.449 --> 02:07:24.456
She, she wrangled all of the faculty
to generate presentations and keep

02:07:24.489 --> 02:07:28.976
them to a couple of slides, five
minutes. Um She put the agenda. So I, I'd

02:07:29.009 --> 02:07:31.737
like you all to give a round of
applause first for Melissa Bar for

02:07:31.770 --> 02:07:35.696
organizing it. Thanks.

02:07:35.729 --> 02:07:41.916
Does this mean I get more than five
minutes? Right?

02:07:41.949 --> 02:07:45.456
Um First, I'd like to talk about the
Cooler Phoenix project that I've been

02:07:45.489 --> 02:07:51.027
working on with Ray Kui, uh Chuck
Redman and Dave Houla and Arian Middle

02:07:51.060 --> 02:07:55.496
where we've been trying to work with
the city so that uh we can coalesce

02:07:55.529 --> 02:08:01.036
the forces of a su and the city people
to both create meaningful research

02:08:01.069 --> 02:08:07.366
and have the city help researchers um
be uh have more access and make more

02:08:07.399 --> 02:08:10.967
meaningful research. And there's
already uh a research team that's up and

02:08:11.000 --> 02:08:15.126
running Um I know that Dave Hondo is
on it with the Transportation folks.

02:08:15.159 --> 02:08:18.265
And right now we're trying to get
another research team together that's

02:08:18.298 --> 02:08:23.175
dealing with the choice neighborhoods
and uh we will be meeting shortly.

02:08:23.208 --> 02:08:28.277
Um This is also all this information
that you see here. Uh I think in the

02:08:28.310 --> 02:08:33.166
break slides has a URL and all of the
information will be posted on that

02:08:33.199 --> 02:08:38.595
URL and it's resting at Dave Saylor's
Urban Climate Center website. So now

02:08:38.628 --> 02:08:45.107
I'm gonna talk about nature's cooling
system and this is,

02:08:45.140 --> 02:08:48.717
this is actually another collaborative
effort. And what we're really doing

02:08:48.750 --> 02:08:53.496
is addressing heat through a health
equity lens. And we're looking at it

02:08:53.529 --> 02:08:58.796
from a grass tops uh approach and then
also a grassroots approach. And uh

02:08:58.829 --> 02:09:02.357
it's being led by the Nature
Conservancy, Maggie Messerschmidt wave. Your

02:09:02.390 --> 02:09:06.765
hand is uh basically running the show
there with a lot of Cooper operation

02:09:06.798 --> 02:09:12.237
from um these other partners that you
see.

02:09:12.270 --> 02:09:15.055
Oh, sorry that you can't see this. I
thought that would be a little bit

02:09:15.088 --> 02:09:21.555
more clear. So this is our workflow
and the grass tops is

02:09:21.588 --> 02:09:26.376
the grass tops is really the Maricopa
County Association of Governments

02:09:26.409 --> 02:09:30.006
where we're really looking to provide
information about heat reduction and

02:09:30.039 --> 02:09:33.746
the landscape scale. And we're
approaching this through planners, through

02:09:33.779 --> 02:09:38.406
engineers, through conservation
professionals. And then also that informed

02:09:38.439 --> 02:09:41.885
by the grassroots by the people on the
ground. And we're trying to work

02:09:41.918 --> 02:09:45.635
through our partners and neighborhood
associations um homeowners

02:09:45.668 --> 02:09:49.376
Associations and other community
members. And the important point here is

02:09:49.409 --> 02:09:55.187
that one of these is going to inform
the other and vice versa. So

02:09:55.220 --> 02:10:00.987
we've already started this by having a
presentation for the Arizona

02:10:01.020 --> 02:10:06.006
Chapter of the American Planning
Association. And we had presentations on

02:10:06.039 --> 02:10:10.777
the, uh I and extreme heat and then
the health health impacts of that. And

02:10:10.810 --> 02:10:14.656
then we basically had a discussion
about good design principles and these

02:10:14.689 --> 02:10:18.626
were primarily urban planners that
were in the room and then we broke out

02:10:18.659 --> 02:10:22.621
into three groups. One was about the
urban environment, another one was

02:10:22.654 --> 02:10:26.621
about the suburban environment and
then the peri urban environment. And

02:10:26.654 --> 02:10:30.291
what would you do to cool these spaces
and what are some of the hurdles

02:10:30.324 --> 02:10:35.406
that you have in terms of cooling
these spaces? And a lot of the um a lot

02:10:35.439 --> 02:10:39.265
of the discussion probably has been
mentioned already cool roofs and trees.

02:10:39.298 --> 02:10:42.925
But there are other things that were
quite interesting and rather

02:10:42.958 --> 02:10:46.805
unwieldy with figuring out how to work
with. One is that our financial

02:10:46.838 --> 02:10:51.666
institutions are not set up to provide
loans and financing for really

02:10:51.699 --> 02:10:55.726
innovative designs. Another one is
that building code, we know that there

02:10:55.759 --> 02:10:59.946
are services that are better in terms
of mitigating urban heat and yet

02:10:59.979 --> 02:11:05.317
they are not necessarily allowed based
upon coding such as Rammed Earth

02:11:05.350 --> 02:11:09.885
community cohesion and uh the Dominic
car culture also came up quite,

02:11:09.918 --> 02:11:13.237
quite frequently. We're gonna take
that information and combine it with

02:11:13.270 --> 02:11:16.916
the information that Nick Weller has
done at the Arizona Science Center

02:11:16.949 --> 02:11:21.226
and we're going to bring it back to uh
the Maricopa Association of

02:11:21.259 --> 02:11:24.976
Governments. Uh later this year.

02:11:25.009 --> 02:11:28.607
We've also been working at the
neighborhood scale and we've picked three

02:11:28.640 --> 02:11:32.425
neighborhoods to work with. One is the
choice neighborhoods, another one

02:11:32.458 --> 02:11:35.805
is in South Mountain and this is a
much smaller scale than the work that's

02:11:35.838 --> 02:11:40.527
being done through uh Paul Coo's
group, but it certainly can be informed

02:11:40.560 --> 02:11:45.246
there. And then the third one is in
Mesa. And we've selected all these

02:11:45.279 --> 02:11:49.631
neighborhoods based upon, on their
heat vulnerability, based upon uh

02:11:49.664 --> 02:11:54.241
negative public health outcomes due to
heat. Um the presence of future

02:11:54.274 --> 02:11:58.081
development, we want to be able to
have these people develop heat action

02:11:58.114 --> 02:12:01.402
plans for their own community and then
also experience in the community.

02:12:01.435 --> 02:12:05.652
All of these neighborhoods are in or
near the neighborhoods that Abby had

02:12:05.685 --> 02:12:09.437
talked about for Cap LTR.

02:12:09.470 --> 02:12:12.467
And one of the unique ways that we are
doing this is that we are doing

02:12:12.500 --> 02:12:16.286
this through uh whole measures for
urban conservation. And this is a

02:12:16.319 --> 02:12:21.095
framework to ensure that our program
is really looking at uh what we're

02:12:21.128 --> 02:12:26.006
going to do through the lens of
socio-economic impact and equity. So in

02:12:26.039 --> 02:12:29.946
conclusion, this is a top down and
bottom up approach where the city can

02:12:29.979 --> 02:12:37.979
certainly nestle right in the middle
and be very helpful. Thank you.

02:12:40.899 --> 02:12:44.086
That was great. That was only four
minutes.

02:12:44.119 --> 02:12:47.156
All right. So we're gonna open up for
discussion now to talk about

02:12:47.189 --> 02:12:51.796
anything, anything, any one of the
topics that you had, how it relates to

02:12:51.829 --> 02:12:55.857
the work that you do, um If you have
questions, um this would be the time

02:12:55.890 --> 02:13:02.836
to ask. So anybody want to start out?

02:13:02.869 --> 02:13:08.586
Ok, I'm gonna point Josh in the back.
Josh. So Melissa talked about this

02:13:08.619 --> 02:13:14.437
issue about codes and both codes in
terms of design and codes in terms of

02:13:14.470 --> 02:13:18.296
materials and that type of thing. And
I know we've done some of that for

02:13:18.329 --> 02:13:23.397
the urban downtown urban form plan.
But how do we go about um addressing

02:13:23.430 --> 02:13:28.946
this issue of codes and form and
materials at the development review level

02:13:28.979 --> 02:13:35.345
? Sure. Uh you know, one of the
strategies we've employed is there's a

02:13:35.378 --> 02:13:41.067
sustainability bonus section in the in
the at the end of the downtown code

02:13:41.100 --> 02:13:47.226
that provides a a point system to
allow a project to get more height, more

02:13:47.259 --> 02:13:51.805
lot coverage. And so I think that we
can continue to utilize that as

02:13:51.838 --> 02:13:55.726
incentives to provide flexibility. I
think Karen did a great job talking

02:13:55.759 --> 02:13:59.607
about how do we sell this from a
numbers standpoint? Well, providing

02:13:59.640 --> 02:14:04.506
regulatory flexibility translates to
to to numbers for on a development

02:14:04.539 --> 02:14:08.265
project. I think if we could
incorporate those into quotes to say, if you

02:14:08.298 --> 02:14:12.376
chose this route or these strategies,
we can give you flexibility in these

02:14:12.409 --> 02:14:16.076
development standard areas. That could
certainly be one strategy and I

02:14:16.109 --> 02:14:19.576
think that, that that would be helpful
for us if in a collaboration, to

02:14:19.609 --> 02:14:22.696
tell us what would be those areas to
focus on, what, what would be those

02:14:22.729 --> 02:14:27.696
adjustments, how much open space
should be, what would be that threshold

02:14:27.729 --> 02:14:31.746
to say if you provide this much open
space, you get this much bonus. Uh

02:14:31.779 --> 02:14:35.925
and it would have this much impact on
thermal comfort and the urban heat

02:14:35.958 --> 02:14:38.885
island. Uh I think there's a lot of
opportunity for us to have those

02:14:38.918 --> 02:14:43.656
discussions to make some modifications
uh to, to our codes in that regard.

02:14:43.689 --> 02:14:46.336
 Ok, great. Thanks

02:14:46.369 --> 02:14:48.987
somebody else.

02:14:49.020 --> 02:14:53.866
Oh, good. Yeah,

02:14:53.899 --> 02:14:57.515
thank you from uh um I'm from the
Office of Homeland Security Emergency

02:14:57.548 --> 02:15:01.876
Management. And I think there's some
opportunities for us in terms of the

02:15:01.909 --> 02:15:06.717
public engagement piece and prep and
preparedness and resilience is with

02:15:06.750 --> 02:15:11.781
some of those scenarios as well as
with the um public engagement piece in

02:15:11.814 --> 02:15:16.312
terms of the resilience plan. I heard
them say about a resilience plan and

02:15:16.345 --> 02:15:20.470
there's some opportunity because we're
starting that piece, that component

02:15:20.503 --> 02:15:24.421
in our office in terms of going out
into the communities with the public

02:15:24.454 --> 02:15:31.836
engagement piece. OK, thanks, Josh.
Great. Yeah, you, you can have the

02:15:31.869 --> 02:15:35.527
next five minutes. Josh, if you want
another thing, I, I think if we're

02:15:35.560 --> 02:15:38.416
looking at, at ways to collaborate,
that cities are, are constantly in

02:15:38.449 --> 02:15:41.226
competition, I think probably the most
high profile example of that is

02:15:41.259 --> 02:15:45.666
that the race for Amazon right now.
Right. Well, uh part of what might be

02:15:45.699 --> 02:15:48.946
helpful is to think about again, I'll,
I'll build on what Karen had said.

02:15:48.979 --> 02:15:52.717
What could we point to, to say that
what other cities have done? And I,

02:15:52.750 --> 02:15:56.027
as part of research, I don't know if
I, one thing I didn't see, have there

02:15:56.060 --> 02:15:59.805
been some success stories that we
could point to, to say, look, City X did

02:15:59.838 --> 02:16:02.626
this and look what the the economic
benefit or look what the social

02:16:02.659 --> 02:16:06.027
benefit was. I think those would be
great things to add to this narrative

02:16:06.060 --> 02:16:11.246
in this discussion so that as as
policy implemented, implement, we can

02:16:11.279 --> 02:16:14.937
have discussions with our policy
making body about what other cities have

02:16:14.970 --> 02:16:18.015
done and how that's been successful.
So II I, I'd keep that in mind as we

02:16:18.048 --> 02:16:21.817
continue this collaboration. OK.
That's a good thing for us to know is

02:16:21.850 --> 02:16:27.595
that maybe we could do some
exploratory research on what the people doing.

02:16:27.628 --> 02:16:35.628
OK. Any other comments, discussions,
ideas,

02:16:36.950 --> 02:16:40.635
streets, the streets here today, some
someone from streets, I saw someone

02:16:40.668 --> 02:16:44.266
earlier streets, streets. Are we, what
are we doing in terms of paving

02:16:44.299 --> 02:16:47.566
materials? Uh the mix you're using.
You know, one of the interesting

02:16:47.599 --> 02:16:51.747
things is we had a session in
Flagstaff about a year ago where we

02:16:51.780 --> 02:16:55.536
discussed with Flagstaff, the impacts
of climate increased heat. And one

02:16:55.569 --> 02:16:58.726
of the things that came out of the
discussion was is the mix they use

02:16:58.759 --> 02:17:03.185
wasn't gonna work when temperatures
got higher. So are we, we thinking

02:17:03.218 --> 02:17:09.587
about those things? Anybody, somebody,

02:17:09.620 --> 02:17:17.620
I'm sorry? Oh, he left, sorry. Ok. Go
ahead. Yes. Good

02:17:20.338 --> 02:17:24.194
nine.

02:17:24.227 --> 02:17:29.916
Working with EPA A SU and region nine
to talk about paving materials and

02:17:29.949 --> 02:17:33.166
roofing materials. So we've had that
discussion going just a couple of

02:17:33.199 --> 02:17:39.126
months. So we are exploring those
activities. Cool, cool. All right. What

02:17:39.159 --> 02:17:44.576
else? Any other thoughts?

02:17:44.609 --> 02:17:48.757
Oh, go ahead. Go ahead. We'll do that
one and then we'll do Mark. Look, I

02:17:48.790 --> 02:17:53.926
have to queue people up now. This is
great closer. So, yeah, I think the

02:17:53.959 --> 02:17:58.646
um the conversation around the
tradeoffs with water is super important. Um

02:17:58.679 --> 02:18:03.167
I've heard uh you know, in the
rhetoric like that, that grass can be cool

02:18:03.200 --> 02:18:06.837
and, and of course, that's, that can
be true. But, but we should be

02:18:06.870 --> 02:18:11.146
thinking really careful about
carefully about our vegetation choices. Um

02:18:11.179 --> 02:18:14.525
And what we're encouraging there, I
think that the nature Conservancy has

02:18:14.558 --> 02:18:18.605
a big role to play and in that
conversation around soil health and, and

02:18:18.638 --> 02:18:23.346
the tradeoffs between cooling and, and
with vegetation and what type of

02:18:23.379 --> 02:18:27.946
vegetation is appropriate. Um There's
a lot of folks in this room, Richard

02:18:27.979 --> 02:18:32.635
Adkins that, that are involved in and
um, you know, the tree work, but I

02:18:32.668 --> 02:18:36.185
think that we, you know, shrubs and,
and discussion around grass is

02:18:36.218 --> 02:18:39.296
important also.

02:18:39.329 --> 02:18:42.656
Ok. That's a good one.

02:18:42.689 --> 02:18:46.944
Mark.

02:18:46.977 --> 02:18:49.615
I think one of the cross cutting
things, it's kind of interesting is the

02:18:49.648 --> 02:18:53.694
as we talked about the topic of
vulnerability assessment and uh many of

02:18:53.727 --> 02:18:58.295
these research, they all ta exposed a
particular vulnerability, uh both

02:18:58.328 --> 02:19:02.525
the heat, both in a sense of extreme
events as well as ongoing stressors

02:19:02.558 --> 02:19:05.644
and then air quality and what the
impacts of vulnerable populations on

02:19:05.677 --> 02:19:10.246
those and, and uh the benefits of
providing cool corridors and shade path

02:19:10.279 --> 02:19:13.866
and cooling centers. And, and uh
really, I think to coalesce some of this

02:19:13.899 --> 02:19:18.236
into a, a real vulnerability
assessment of where some of those strong

02:19:18.269 --> 02:19:22.726
overlaps would be. I think it's a
really important initiative that uh we

02:19:22.759 --> 02:19:25.096
kinda need to bring forward. We've
done various forms of vulnerability

02:19:25.129 --> 02:19:29.105
assessments, but I think that there
really could be a one that coalesces

02:19:29.138 --> 02:19:34.206
many of these.

02:19:34.239 --> 02:19:38.167
Thanks. Mark any other comments,
Richard, do you wanna add anything you

02:19:38.200 --> 02:19:41.025
got picked out? You got picked out
over here. So you need to say something

02:19:41.058 --> 02:19:44.257
, don't you?

02:19:44.290 --> 02:19:48.626
Um from what I'm getting out of a lot
of this is the more of the

02:19:48.659 --> 02:19:53.766
combination of just shade, both maybe
environmental or natural and air

02:19:53.799 --> 02:19:58.077
quality. I think the combination of
those two need to be looked at more

02:19:58.110 --> 02:20:02.476
closely as we look forward and um move
forward with more scenarios in some

02:20:02.509 --> 02:20:06.546
of this work. You know, one of the
things I know that you struggle with

02:20:06.579 --> 02:20:11.275
this is you, we want to increase the
tree coverage we have. But then, you

02:20:11.308 --> 02:20:15.546
know, Karen says we don't have a lot
of money to be doing that. And so

02:20:15.579 --> 02:20:20.976
this concept of prioritizing what
you're doing to focus on comfort. It

02:20:21.009 --> 02:20:24.976
sounds like a good strategy. It's a
way for you to try to do the best you

02:20:25.009 --> 02:20:28.096
can with the funds you have and have
the best impact, right? And it comes

02:20:28.129 --> 02:20:32.105
back to species choice and intelligent
design on the placement of that

02:20:32.138 --> 02:20:37.346
which has been touched upon all
morning.

02:20:37.379 --> 02:20:41.337
Any other thoughts about this
prioritization issue? Anybody who want to

02:20:41.370 --> 02:20:44.055
contribute to that?

02:20:44.088 --> 02:20:48.355
Oh Halley, go ahead.

02:20:48.388 --> 02:20:52.846
I mean, this is just a note on on kind
of the a su side of of our research.

02:20:52.879 --> 02:20:56.555
And I mean, it seems to me if, if
we've captured a good profile of what

02:20:56.588 --> 02:21:00.577
we're doing here, um perhaps a little
bit more work on the institutional

02:21:00.610 --> 02:21:04.935
and governance side of things in terms
of how do you, what kind of are the

02:21:04.968 --> 02:21:08.555
real constraints on decision making in
the agencies? How is your

02:21:08.588 --> 02:21:13.646
coordinations happening? What are
those uh barriers or obstacles to uh

02:21:13.679 --> 02:21:17.596
doing the kind of integrated and
vulnerability assessment or tackling some

02:21:17.629 --> 02:21:21.536
of these issues? I think that focusing
on incentive structures at

02:21:21.569 --> 02:21:24.467
different levels, whether that's what
households face or what different

02:21:24.500 --> 02:21:28.396
agencies face um really can provide
some openings to see what are some,

02:21:28.429 --> 02:21:32.185
not just what are the kind of optimal
opportunities, but where are the

02:21:32.218 --> 02:21:37.616
really pragmatic choices uh given what
the decision context is and perhaps

02:21:37.649 --> 02:21:42.146
that's something that uh we could also
be collaborating with um to try and

02:21:42.179 --> 02:21:46.775
facilitate a conversation about some
of those real issues uh that are in

02:21:46.808 --> 02:21:54.808
the agency context rather than just
out in the Phoenix environment.

02:21:55.379 --> 02:21:59.827
So this idea of collaboration between
A Su and Phoenix is not something

02:21:59.860 --> 02:22:03.626
that's new. I mean, in the 20 years, I
worked at city of Phoenix and

02:22:03.659 --> 02:22:07.635
planning and then water. There were
occasions where on this heat issue

02:22:07.668 --> 02:22:11.157
that there was collaboration between
the city and A SU. I know we did that

02:22:11.190 --> 02:22:14.185
with the airport. Some of the design,
the airport was done that when we

02:22:14.218 --> 02:22:17.536
did the urban downtown urban floor
plan, there was collaboration. So

02:22:17.569 --> 02:22:20.486
there's been collaboration, but what
is different is that was kind of

02:22:20.519 --> 02:22:24.275
haphazard. You know, as Susan pointed
out, it's often difficult to figure

02:22:24.308 --> 02:22:29.726
out who to talk to at a su at the city
manager's direction. Mark and Karen

02:22:29.759 --> 02:22:33.346
approached a su and said, look, we've
been doing this for a long time.

02:22:33.379 --> 02:22:35.366
We've done a lot of things, you've
done a lot of things we need to make

02:22:35.399 --> 02:22:38.935
this more formal and probably be more
aggressive of what we're doing if

02:22:38.968 --> 02:22:42.497
we're going to try to address the
issue. And so we formed this partnership

02:22:42.530 --> 02:22:47.855
between A SU and the city and the A SU
is committed to this partnership.

02:22:47.888 --> 02:22:52.046
Um Melissa has been sort of designated
as sort of the coordinator. She

02:22:52.079 --> 02:22:55.926
does not sure she's liking that, but
she's been designated as the

02:22:55.959 --> 02:23:00.626
coordinator and she's been working
with different staff. Um, President

02:23:00.659 --> 02:23:03.486
Crowe has allocated some funds to the
project to help us with the

02:23:03.519 --> 02:23:06.167
logistics as we're moving forward. So
we're committed to that. And Crowe

02:23:06.200 --> 02:23:09.566
has made on several occasions
statements saying we're committed to working

02:23:09.599 --> 02:23:13.087
with the city of Phoenix on this heat
issue. As Melissa pointed out, we

02:23:13.120 --> 02:23:16.827
already have some projects going on
the city side. Um They formed a

02:23:16.860 --> 02:23:20.126
steering committee, some of you in the
room are on that steering committee.

02:23:20.159 --> 02:23:23.346
Um But the steering committee is
trying to identify where we can

02:23:23.379 --> 02:23:28.587
specifically make connections between
A S US research and a su faculty and

02:23:28.620 --> 02:23:33.226
staff um to work on ongoing and on
future projects. And so the projects

02:23:33.259 --> 02:23:37.396
Melissa talked about is we're actually
bringing faculty and staff from a

02:23:37.429 --> 02:23:40.866
su to work with the staff at the City
of Phoenix while they're in the

02:23:40.899 --> 02:23:45.616
design stages on projects to try to
incorporate some of the concepts we

02:23:45.649 --> 02:23:50.305
talked about today in that. And so
we're looking for more projects. It's

02:23:50.338 --> 02:23:53.266
one of the reasons why we're reaching
out today with you to trying to

02:23:53.299 --> 02:23:56.926
broaden, we've had a meeting with the
directors, a similar meeting, a

02:23:56.959 --> 02:24:00.827
little bit shorter than this but
somewhat similar um with the directors of

02:24:00.860 --> 02:24:03.476
departments. And we're now we're
reaching out to you. So we're really

02:24:03.509 --> 02:24:09.116
interested in working with you and,
and sometimes that it's hard for um

02:24:09.149 --> 02:24:12.736
the staff with everything they have to
do to say, oh no, that's I have to

02:24:12.769 --> 02:24:17.206
do this as well, but we're trying to
provide to you some assistance to

02:24:17.239 --> 02:24:21.366
help you be able to do that. And so if
you think there's any relationship

02:24:21.399 --> 02:24:25.917
at all between the work you're doing
and these concepts of urban heat and

02:24:25.950 --> 02:24:29.876
extreme heat and comfort and trying to
increase the comfort of the

02:24:29.909 --> 02:24:35.036
constituents and your customers here
at Phoenix, then please fill out on

02:24:35.069 --> 02:24:38.525
these forms, what you're doing and
what you, what your contact your

02:24:38.558 --> 02:24:43.007
information. So we can reach out to
you or you can contact Mark or Karen

02:24:43.040 --> 02:24:47.157
or Jennifer and say, look, I'm
interested in this. So we're looking for

02:24:47.190 --> 02:24:52.935
opportunities to try to do that. Uh
Chuck emphasized earlier today that um

02:24:52.968 --> 02:24:57.805
this is just not, you know, some
exercise that a SU wants to do because we

02:24:57.838 --> 02:25:01.757
want to engage with the community
more. This is a fairly critical issue

02:25:01.790 --> 02:25:05.046
for the region and it's not just
Phoenix, it's other cities and we hope to

02:25:05.079 --> 02:25:08.967
be able to, to use Phoenix as an
example to reach out to other cities. But

02:25:09.000 --> 02:25:11.866
uh if temperatures increase, whether
you believe in climate change or not

02:25:11.899 --> 02:25:14.476
, I mean, everybody, if you've been
here a while, you know, the nighttime

02:25:14.509 --> 02:25:17.571
temperatures are hiding, but if they
get even higher, it's gonna become

02:25:17.604 --> 02:25:21.321
harder and harder to live here. And
we're, we're probably we can do some

02:25:21.354 --> 02:25:24.751
things to try to mitigate the urban
heat island. I mean, what we do to

02:25:24.784 --> 02:25:29.491
mitigate the global heat is, is
another matter but we can do things to

02:25:29.524 --> 02:25:33.101
make it more comfortable for people to
live here so that it is still

02:25:33.134 --> 02:25:38.611
livable here. Um And we, we can try to
sur uh survive and try to adapt to

02:25:38.644 --> 02:25:42.251
that climate change. So it's important
for this connection. We, we did, we

02:25:42.284 --> 02:25:48.946
lose Karen. Oh, I'm sorry. So I'm
gonna do Karen. She's gonna close, sorry

02:25:48.979 --> 02:25:54.596
, sorry. It was. So you were like
filibustering because you didn't know

02:25:54.629 --> 02:26:02.629
where it was. Uh OK. Well, um I, I
think this has been really interesting

02:26:02.819 --> 02:26:08.036
and fun. It's kind of like

02:26:08.069 --> 02:26:16.069
turned it off. Hello? No.

02:26:16.979 --> 02:26:23.446
No. Yes. No. Ok. Ok. So, um, I don't
know how many, I mean, there's a lot

02:26:23.479 --> 02:26:27.935
of uh a lot of a su folks here who may
never have heard about our

02:26:27.968 --> 02:26:32.555
marketing campaign here at the city of
Phoenix and it's called Phoenix is

02:26:32.588 --> 02:26:38.507
Hot. Have you heard that uh Phoenix is
hot and, and you believe it or not

02:26:38.540 --> 02:26:43.536
? And from heat researchers
perspective, perhaps you think why on earth

02:26:43.569 --> 02:26:47.816
would that be our marketing strategy,
our, our marketing campaign? But

02:26:47.849 --> 02:26:51.896
that it is, that is our, that is our
campaign. Phoenix is hot. Phoenix is

02:26:51.929 --> 02:26:57.646
a place where things are happening
and, and so, yeah, I, I looked at that

02:26:57.679 --> 02:27:03.296
in my first, my first reaction was,
oh, no, but um I, I, I've come to look

02:27:03.329 --> 02:27:07.305
at it as a very positive thing for,
for a couple of reasons. Uh Of course

02:27:07.338 --> 02:27:12.346
, it's hot. It's a desert, of course,
it's hot. Uh But we know having,

02:27:12.379 --> 02:27:17.146
having lived here and thrived here and
grown here that uh of course, it's

02:27:17.179 --> 02:27:22.546
a desert. Water is scarce. But here in
Phoenix, we know water. We're smart

02:27:22.579 --> 02:27:27.956
about water. We've managed to thrive
and grow and be a world leader in

02:27:27.989 --> 02:27:33.435
managing our water resources or scarce
water resources. And so we're smart

02:27:33.468 --> 02:27:37.956
about water. We're, we're, we're,
we're good at that. So Phoenix is hot.

02:27:37.989 --> 02:27:44.566
We're, we want to be just as good at
heat as we are at water. Uh We would

02:27:44.599 --> 02:27:50.116
like to lead the world um in terms of
adaptation and management of the

02:27:50.149 --> 02:27:55.305
heat in which we live and of course,
that's increasing uh as we know, and

02:27:55.338 --> 02:27:59.805
it is unfortunately going to impact uh
parts of our community more than

02:27:59.838 --> 02:28:04.446
others. And that's a big, big
challenge for our time. Um That is very

02:28:04.479 --> 02:28:08.555
important to city management. My boss
at Zerka, our city manager is, is

02:28:08.588 --> 02:28:15.275
very, very engaged and, and, and feels
the urgency of this issue and, and

02:28:15.308 --> 02:28:19.997
has emphasized that to me and, and
mark and, and others on our team that

02:28:20.030 --> 02:28:23.635
we need to, we need to work together
and figure something out because it

02:28:23.668 --> 02:28:30.555
is uh it increasing urban heat
threatens our long term economic viability

02:28:30.588 --> 02:28:35.266
if we don't handle it correctly. And
it also very much impacts the quality

02:28:35.299 --> 02:28:39.296
of life of our most vulnerable
residents. So we need to, we need to be

02:28:39.329 --> 02:28:43.696
smart about it and we need to be
proactive about it. So what we're doing

02:28:43.729 --> 02:28:47.185
today and I'm, I'm just so thrilled
that that so many city staff were able

02:28:47.218 --> 02:28:53.046
to be here um is expose all of our
city people to all the wonderful work

02:28:53.079 --> 02:28:57.827
that A SU is doing. Um get an
understanding of what that is and how it

02:28:57.860 --> 02:29:03.935
might help us help us in the city to
do our work smarter. The other thing

02:29:03.968 --> 02:29:09.217
though that we want to do here is for
a su to understand better what we do.

02:29:09.250 --> 02:29:13.046
Um So that you can kind of think about
that and incorporate that into the

02:29:13.079 --> 02:29:17.126
work that you're doing. So, you know,
the forms that are on the table uh

02:29:17.159 --> 02:29:21.467
really encourage you to, to think
about things you wanna know more about

02:29:21.500 --> 02:29:24.635
stuff you didn't hear about is there,
there's just no research happening

02:29:24.668 --> 02:29:28.456
on this issue that I deal with every
day. Well, write it down, please let

02:29:28.489 --> 02:29:33.446
us know. Um so that we can, we can
work together to maximize the benefit

02:29:33.479 --> 02:29:39.016
of this really important partnership.
Um

02:29:39.049 --> 02:29:42.435
It's, it's, it's getting late and I'm
not gonna filibuster anymore, but I

02:29:42.468 --> 02:29:46.736
do want to say this. I I am so
grateful for the partnership. The

02:29:46.769 --> 02:29:50.407
leadership, of course, Doctor Crowe
has emphasized this and the importance

02:29:50.440 --> 02:29:55.327
of this. Our mayor uh Mayor Stanton
has, has very much emphasized the

02:29:55.360 --> 02:30:00.355
importance of this work. So I, I think
leadership uh for, for helping us

02:30:00.388 --> 02:30:05.257
prioritize this. I also really wanna
thank Chuck and Melissa and Ray and

02:30:05.290 --> 02:30:09.507
David for coming to many meetings
with, with us here at the city to talk

02:30:09.540 --> 02:30:13.796
about how to best approach this
partnership. And I think we're doing,

02:30:13.829 --> 02:30:18.236
we're doing a pretty good job as is
evidenced today. I very much want to

02:30:18.269 --> 02:30:22.736
thank all the faculty who came out uh
to present to us today. I wanna

02:30:22.769 --> 02:30:26.016
thank our guests in the audience from
the Nature Conservancy and Vital

02:30:26.049 --> 02:30:32.217
health um partnering in many ways uh
to further further our, our efforts

02:30:32.250 --> 02:30:39.337
here. Uh So, thanks. Uh It's been
great and please, let's thank our, our A

02:30:39.370 --> 02:30:45.456
su friends.

02:30:45.489 --> 02:30:49.257
I think, I think that's it. Right.
Right. OK. Uh If you haven't already

02:30:49.290 --> 02:30:52.967
take a look at the placards over here
against the windows, our sustainable

02:30:53.000 --> 02:30:58.217
Home design competition is underway
and if you have name tags, please drop

02:30:58.250 --> 02:31:02.775
them off. Uh You can vote on the best
design at sustainable Home Design

02:31:02.808 --> 02:31:07.049
competition.com. Please do. Thank you.