Can digital simulation save lives?
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Nexus, Publish By GHD.
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Where ideas connect.
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We are
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really at a turning
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point here when it comes to the technology
that is available to aid
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wildfire evacuation planning
and in general, emergency management,
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because we have more and more simulation
tools that can actually enable predictions
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of how these kinds of threats
and scenarios evolve,
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meaning
that we can kind of see the future.
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Welcome back
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Today's a special topic
because we're really diving into
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climate change and technology.
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But I actually had a really interesting
conversation with my family this morning.
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And they're like,
why are you talking about wildfires
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when it comes to climate change
and technology and evacuation technology?
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So I thought before we dive into anything
technology related,
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can we talk a bit about wildfires
and the industry
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and the rise of wildfires,
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and how why it's such an important topic
in climate change?
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I'm Dan Stockdale, I'm a senior advisor
and part of the GHD team
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working within Bluefin Strategies.
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So always looking about
how people are moving around spaces and
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how we can better optimize those systems
to improve performance and outcomes.
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And I guess
moving people in a community evacuation
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during a wildfire
or other emergency event is no different.
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I have that kind of firsthand experience.
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When I moved from the UK to Canada
last year, where I was in Jasper
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while I was actually one of 20,000 people
that were evacuated
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as part of that and felt the first hand
the need for kind of the important
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planning and the emergency response
required to move those number
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of people in such a short period of time
to such an evolving issue.
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That fire was born out within two hours.
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It was over 6000 hectares,
which was only 6000
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football fields, and then 48 hours later
it was 30,000.
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So it was growing a huge, huge rate
with 30 to 40m high flames
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and to spot fires
starting from over half a kilometer away.
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And that was in Alberta
and the national park.
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There was huge economic damage
and impact to the tourism industry,
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but obviously we saw the impacts
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of the fires in LA and the monetary value
that was impacted from that.
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So that's something that's only going
to get more important as we plan for that.
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Cameron, do you think
are we at unprecedented times, like what
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are you noticing as also a person
that's in this field?
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Yeah.
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So unfortunately we are experiencing
increased frequency
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and severity of these events.
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And we're already seeing that.
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And the research is suggesting on the path
that we're heading towards
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that we're going to continue seeing that.
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So we really need to be able to adapt
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and anticipate these events
and be prepared as much as possible.
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Okay.
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And I guess, like who really takes
the responsibility of
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at the end of the day, is it
the firefighters or are your planners like
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what does industry need to do to actually
start planning and tackling for it?
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And Dan, from your firsthand experience,
like what had happened, like,
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was it only firefighters that showed up
or did you see some evacuation routes?
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So they had an emergency response
and an incident planning team
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that were deployed.
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And that's a scalable team that
can respond to the issue that's required.
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So that was a team of emergency
responders, council members
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and community members as well.
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But they were looking at both tracking
and monitoring the fire,
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but also looking at how
and when they were going to evacuate those
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people from the town scape.
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Yeah, exactly.
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And like Danny's saying,
there's so many stakeholders
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involved in so many moving
pieces and variables can take an account
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as an event is about to happen
is happening for an evacuation.
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So as Dan mentioned,
first responders, emergency management.
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You have the residents,
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vulnerable residents
who might not be able to move as much.
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You have unhoused populations, tourists
who might not know the area as well.
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So really taking into account
all these different folks, and I think
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during an evacuation,
it really takes everyone's involvement.
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And in terms of the industries,
everyone has a role to play, whether it be
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planning or climate change mitigation.
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There's just so many aspects to this
with that, just trying to understand
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how has technology evolved
in this landscape.
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Rinko, do you want to talk a bit about
that technology and how it's changed?
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Yeah, I think we are really
at a turning point here
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when it comes to the technology
that is available to aid wildfire
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evacuation planning and in general
emergency management, because we have more
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and more simulation tools
that can actually enable predictions
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of how these kinds of threats
and scenarios evolve,
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meaning that we can kind of see the future
and that's, really fast in a team
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because, that helps us a lot in planning
and managing these kind of emergencies.
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So the current tools that we see
available, for instance,
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are trying to merge different layers
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through modeling and simulations
that can play an important role.
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So for instance, both try to understand
how the wildfire was spread
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and all the physical mechanisms
of the fire, but also
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how the humans will respond
based on the road
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network, their experience,
who they are, what they do.
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So there is a lot of tools
to factoring this kind of information
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and try to merge them in order to provide
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an informed support for decisions.
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And this is really what is happening
in recent years with a lot of new tools
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that are based on VR, AI, and in general,
everything that comes from simulations.
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I also want to bring up an interesting
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anecdote
when it comes to the scale of the problem.
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Ten years ago, together
with some colleagues, that
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with the research in this space,
we were thinking about imagining
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a simulation tool that could cope
with 100,000 people evacuation.
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And back then, you know, when we were
talking to funding agencies, the feedback
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we were getting was that this was sci fi,
that this will never happen.
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And then a couple of years later,
we have seen it with Fort McMurray,
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for instance, in Canada,
where 88,000 people were evacuated.
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That what was sci fi until a
couple of years before it became reality.
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So and as I said, with these tools,
we can also predict
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what is not happened
until now and plan for it.
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And this is very important
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when it comes to climate change
and planning for climate change.
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Okay, coming to the simulation,
who is the user of these simulations?
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And I know
we're going to talk about unity.
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But before we do that
can we talk about what is wooh
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and am I pronouncing that right.
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Like is it woo or is it we we okay.
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Yeah.
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What what is we.
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So we means wildland urban interface.
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So it's where the urban areas
and the inhabited areas
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merge with vegetated areas.
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And that's the really critical parts
because generally if you have largely
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vegetated areas,
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there is not too many people
living in there, which means that at least
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from the human safety perspective, it's
not such a
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complex scenario to deal
with a much smaller number of people.
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But in the WUI, what happens
is that you have people leaving
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and you may have many people
living in this area.
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Sometimes we talk about thousands
or tens of thousands of people
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living in those areas that are actually
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in dire contact
with vegetation that can burn.
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And that's why basically you are facing
these very challenging scenarios
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with people could potentially be trapped
if you don't have a proper
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emergency planning and evacuation
planning ahead of an emergency occurring.
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As a planner, unfortunately,
we are sprawling into that area.
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And with that, as more
people are moving into the WUI,
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there might be less local knowledge
of what it means to live in that.
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They've never lived there before.
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And so making sure
that everyone is educated, as well as
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all the planning that goes into that.
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And so I think that's why these tools
are really, helpful for us,
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especially as we keep growing
and moving into those areas.
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And so really isn't people induced,
then, is it
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a moving line between like,
cities and natural land?
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It's basically defined
by the percentage of people
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that you have in relation
to the vegetated areas.
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So in order to be considered
that every area, you need to have
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a certain number of people in percentage
and a certain number of vegetation,
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because it cannot be only vegetated area
or it can be only urban area.
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And indeed
these kind of makes this kind of interface
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between the vegetated areas
and the populated areas.
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It's really what creates troubles
when it comes to wildfires, because,
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as I said, there are many, many challenges
of trying to get out people
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from an endangered area where you are
surrounded, possibly by vegetation.
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So I guess dystopian origin stories
would start in the WUI area.
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Is that what we're saying?
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That's unfortunately often the case
because,
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as I said, people risk to get trapped
in that instance.
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Like when we're thinking about these
like climate high spikes
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and trying to help people as like
this one is moving,
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who needs to be informed
or who needs to be involved in
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terms of better
understanding the data in that community?
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I may argue that everyone
has to play a role in this.
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First of all, of course,
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the general public
is the ultimate user of this information.
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But you know, the general public
needs guidance, and that means that
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we need to have a few stakeholders
involved, both at the planning stage.
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So companies and organization
that can support planning of those areas
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can play a very important role
in understanding
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what could happen and dealing beforehand
with the consequences of a wildfire.
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And on the other hand, of course,
emergency responders, as we say,
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because they play a very important role,
along with municipalities
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on planning what to do with the community
if something goes wrong.
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Basically.
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And we've seen different drivers.
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So you have in some areas, policies
and laws in place to require comprehensive
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planning for communities to say,
you know, given different scenarios,
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different hazards, what can your community
do to make sure that they're prepared?
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And so there's that in place
and funding mechanisms in place
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as well as we've seen from bottom up,
from the ground folks who are interested
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in gathering up their community to plan
these evacuation drills on their own.
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So it really can come from both sides.
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It'd be great to have more policies
and laws in place and structure,
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but it's also great
when we see some drills taking place,
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at least I've seen in America, drills
in Colorado, in Oregon
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that the community is starting
because they're concerned for themselves
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or they've gone through
unfortunate situations.
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So they want to be better prepared.
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Where does technology
really sit in this scenario?
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When you were thinking about this idea
of, let's create
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a tool that can support, simulation
for wildfire evacuations,
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how is that idea conceived
and who is the user?
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I'd love to know more about
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who is using it and what are people doing
with that information.
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I can start describing how the idea behind
the tool was conceived.
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And this goes back
to a couple of years ago, maybe
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more than ten years ago,
when myself that there's been doing
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research in the AI evacuation space for
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many years, has had a chat with someone
from Imperial College, Professor
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Rain, that has been work for years
in understanding wildfire spread.
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And we were puzzled
by the fact that we had
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systems and tools that were attempt
to modeling these two problems,
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but they were not talking to each other.
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And that's why we said,
okay, now we need to sit down.
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We need to gather a pool of experts
in different domains
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that can help us
in developing such types of tools.
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And that's why I also changed
came into the game
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because we wanted to also understand
potential users of those tools.
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What could I do with them?
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And joining forces
to try to have a tool that address
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all the key aspects
that are affecting a wildfire evacuation.
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So that's how the general idea came,
because, as I said,
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a tool to just solve part of the problem
is not what we really need.
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We need something that is able to address
all the different aspects
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that play a role in a wildfire.
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So who was involved in that product
design?
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And also and we go before I keep going.
Congratulations.
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Like I recently heard that you'd won
an award for the specific tool.
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Yeah.
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We are really proud
because this is an award
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from the National Fire
Protection Association in the US,
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which is basically the main regulator
in the US when it comes to fire safety.
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And they have a knowledge,
the work that we have done, with this,
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Foundation award.
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So it's really good news for us.
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But as I said,
this effort started almost ten years ago,
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and it involves
Imperial College in London.
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And we had colleagues
from the National Research Council Canada
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because of course, it's a key driver
in research on wildfire safety.
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We also had a GHD involved
and a few other partners
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at MIT in Australia that we tried
to get the right expertise on board
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from different parts of the world,
and also to have that kind of perspective
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that we could not just do a tool
there was by researchers, for researchers,
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but we want to make it something
useful for end users like GHD.
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So someone that can take this type of tool
and make it into an actionable tool
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for designing against wildfire
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or planning for wildfire evacuation
emergencies, tends this like frequently
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in their projects, like when to use it
has in improving the role for evacuation.
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So Cameron and I are those kind of uses.
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And we're working in that loop
with Enrico's team,
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and the research is to provide
that kind of industry feedback
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as the tools and the features
that we want to have in Lunity.
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And obviously, as Enrico mentioned,
they have incredibly complex systems
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with challenging in size and scale
and fast evolving at that.
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Sometimes those complex systems make it
difficult to derive possible outcomes.
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So using unity as planners
or emergency responders
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or indeed for the community, it gives you
the ability when you're considering
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emergency response and evacuation
to assess and compare options.
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And then when you're kind of modeling that
or doing those tabletops
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and discussing it,
you identify those vulnerabilities
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that you may not be
and kind of thought about before.
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So we're using it in
2 or 3 different ways.
00;14;47;28 - 00;14;49;20
One in the in the planning phase.
00;14;49;20 - 00;14;50;04
So that's
00;14;50;04 - 00;14;54;16
if we're kind of assessing the impact
of those potential land zone changes.
00;14;54;19 - 00;14;59;05
Or as we mentioned earlier, the increase
increasing population in the movie itself.
00;14;59;21 - 00;15;03;16
So we can assess the impacts for that
both under the current infrastructure.
00;15;03;19 - 00;15;06;28
So can that new development
be accommodated in that infrastructure,
00;15;07;09 - 00;15;10;10
or do we need to look at assessing
capital infrastructure projects.
00;15;10;13 - 00;15;13;21
So what would the impact be
if we were to evacuate with the roads
00;15;13;24 - 00;15;16;27
that we have today,
or the roads that we might have tomorrow,
00;15;17;00 - 00;15;21;13
if we to have some need to widen that
or to add in a new road, for example.
00;15;22;00 - 00;15;25;08
And then the second use
that we've got is for sensitivity
00;15;25;11 - 00;15;28;11
so that we can have
a robust plan in place.
00;15;28;17 - 00;15;32;05
What happens if we were to to lose
an escape as a result of the wildfire
00;15;32;08 - 00;15;35;29
expanding to the south, for example,
and we can only evacuate to the north?
00;15;36;12 - 00;15;39;27
And what's the impacts of
if we were to have those new refuge areas
00;15;40;09 - 00;15;44;02
or changes in population
behavior, for example, response times,
00;15;44;05 - 00;15;46;28
if this was to happen at night versus
in the middle of the day,
00;15;46;28 - 00;15;49;18
would that change
how people are moving around them,
00;15;49;18 - 00;15;52;18
the traffic patterns
that we have as a result of that?
00;15;53;02 - 00;15;55;12
Are you simulating
like new developments as well?
00;15;55;12 - 00;15;59;11
We know that urban sprawl is another thing
that's really contributing to growth
00;15;59;14 - 00;16;04;01
all over the world as also impacting
climate change, but coming to this topic,
00;16;04;04 - 00;16;07;06
how is this tool
helping with these other factors,
00;16;07;09 - 00;16;12;00
like these externalities that are really
a reality of evacuation in general?
00;16;12;16 - 00;16;12;22
Yeah.
00;16;12;22 - 00;16;15;24
So we might see a community
in Northern California, for example,
00;16;15;27 - 00;16;17;19
that's looking to put a new development
00;16;17;19 - 00;16;20;26
in part of that kind of unbuilt
where we area that, that green.
00;16;20;29 - 00;16;22;28
And and then what's the impacts
00;16;22;28 - 00;16;25;28
of the population in that area
increasing by 20% where they don't
00;16;26;01 - 00;16;27;01
change the infrastructure.
00;16;27;04 - 00;16;30;12
How long does it take people to escape
under the same conditions?
00;16;30;15 - 00;16;33;23
And then we can run the exact same test
with that population uplift
00;16;34;02 - 00;16;37;19
and see how much longer it's taking
for people to reach those refuge areas.
00;16;37;28 - 00;16;41;24
So we're able to clearly compare
and contrast those available options
00;16;42;04 - 00;16;46;06
while keeping some of the variables
constant, which is good for being able
00;16;46;09 - 00;16;49;09
to be able to compare the impacts
that one changes having,
00;16;49;15 - 00;16;52;21
which is something that you don't get
the beauty of having in in real life.
00;16;53;16 - 00;16;57;06
One of the interesting things about Wunity
is that it can model
00;16;57;09 - 00;17;01;07
pedestrian movement, traffic movement,
as well as wildfire spread.
00;17;01;12 - 00;17;04;03
So as Dan is talking
about all these different scenarios,
00;17;04;06 - 00;17;07;22
this is what only they can do
to help us really estimate,
00;17;07;29 - 00;17;09;26
you know, the timing,
what's going to happen?
00;17;09;29 - 00;17;13;11
Where are we seeing congestion
and planning for
00;17;13;16 - 00;17;17;01
getting a community out
with different evacuation routes?
00;17;17;04 - 00;17;19;00
As Dan is saying, with the communities
00;17;19;00 - 00;17;21;29
that are being built out,
do they have enough ways to get out?
00;17;22;26 - 00;17;24;24
Now that you've collected
the data, you've done
00;17;24;24 - 00;17;28;14
all the simulations who implement it,
are you giving it to planners?
00;17;28;17 - 00;17;31;19
Like, how is it tangible for that
everyday person in the community?
00;17;32;07 - 00;17;35;15
So our projects
that we've been using right now
00;17;35;27 - 00;17;40;20
are going towards the jurisdictions,
the cities, the counties that can use this
00;17;40;23 - 00;17;44;18
information for their planning documents,
their comprehensive planning.
00;17;44;29 - 00;17;45;27
That's just one way.
00;17;45;27 - 00;17;48;27
But also the community
can take this information
00;17;49;00 - 00;17;52;17
and help them for even practicing
future drills
00;17;52;20 - 00;17;56;09
or seeing what they need to do
and maybe advocate on their end as well.
00;17;56;25 - 00;17;57;10
Got it.
00;17;57;10 - 00;18;02;16
And so and of if you were in a community
and you saw an evacuation plan or a plan
00;18;02;19 - 00;18;04;23
that's being put in place
in front of community, could you say,
00;18;04;23 - 00;18;07;18
oh, this is coming from this specific
simulation?
00;18;07;21 - 00;18;11;21
Well, I have a very interesting case
because, recently
00;18;11;24 - 00;18;16;09
and Cameron was involved as well,
we were actually asked by a community
00;18;16;12 - 00;18;20;28
in Colorado to go there
and, observe an evacuation drill.
00;18;21;01 - 00;18;24;18
And we asked them back to collect data.
00;18;24;25 - 00;18;30;24
And that was useful to inform simulations
and help us calibrating our models.
00;18;30;27 - 00;18;34;23
And it was really encouraging
for people like us
00;18;34;26 - 00;18;38;05
that we work with simulations
to see to which extent
00;18;38;19 - 00;18;44;07
the simulation that we produce are in line
with what happened in the real world.
00;18;44;16 - 00;18;47;23
Because one of the key challenges
of developing simulators
00;18;47;26 - 00;18;51;10
is that you can be the best
computer scientist in the world,
00;18;51;13 - 00;18;53;20
or you can be the best
mathematician in the world.
00;18;53;23 - 00;18;57;03
But if you want to have something
that is usable and actionable,
00;18;57;11 - 00;19;00;02
you need to be able to represent
the real war.
00;19;00;02 - 00;19;03;07
So a common effort by researchers
00;19;03;10 - 00;19;09;07
like us is to try to systematically
compare what you will get from a simulator
00;19;09;10 - 00;19;13;11
with, real life behavior
and real world events.
00;19;13;14 - 00;19;18;20
So and as you can imagine,
it's much easier for us to collect
00;19;18;23 - 00;19;22;17
such type of data during evacuation drills
because we know this beforehand
00;19;22;26 - 00;19;24;01
than during an event.
00;19;24;01 - 00;19;28;14
Although a lot of the work
that we have been doing in developing
00;19;28;17 - 00;19;32;21
and testing our model is also based,
for instance, of traffic data
00;19;32;29 - 00;19;38;12
from real events, because fortunately,
there are many places around the world
00;19;38;15 - 00;19;41;13
which, are very generous in sharing
00;19;41;16 - 00;19;44;21
data, for instance, that they get
from traffic measurements and so on.
00;19;44;23 - 00;19;45;14
So, for instance,
00;19;45;17 - 00;19;48;12
the California Department
of Transportation share pretty much
00;19;48;12 - 00;19;52;12
all the information publicly
about the traffic on the roads, even
00;19;52;15 - 00;19;56;19
during wildfires, which means
that we could actually source those data
00;19;56;22 - 00;20;01;00
and systematically
use them to develop and test city.
00;20;01;08 - 00;20;06;06
But as I mentioned, it's an important
aspect to highlight every tool.
00;20;06;09 - 00;20;10;12
It would be as good as the data
that are used to calibrate the tool.
00;20;10;24 - 00;20;14;08
And one of the huge efforts
that we are putting in
00;20;14;18 - 00;20;17;27
when it is, is to try to increase more
and more the pool of data
00;20;18;00 - 00;20;19;07
to feed into the tool
00;20;19;10 - 00;20;23;18
in order to be able to account
for a wide variety of scenarios, because,
00;20;23;21 - 00;20;29;09
as I said, simulating, rural or weak
communities, smaller community,
00;20;29;16 - 00;20;34;05
it's not the same thing of simulating
a hundred thousand people evacuation,
00;20;34;08 - 00;20;37;11
but our tool is meant to be able
to reproduce
00;20;37;20 - 00;20;40;22
both of these kind of extreme scenarios.
00;20;41;12 - 00;20;43;22
Yeah, that's really interesting
because as a person
00;20;43;22 - 00;20;45;26
that studied economics,
I always struggled with that.
00;20;45;26 - 00;20;49;12
Like every model that you build out
has like 10 million assumptions to it.
00;20;49;26 - 00;20;51;18
Most of the time it's not realistic.
00;20;51;18 - 00;20;52;24
So it's really nice to hear
00;20;52;24 - 00;20;56;20
that you're actually building something
that has like a realistic implication.
00;20;56;23 - 00;20;59;09
And people can go out and plan it,
and you've tested
00;20;59;09 - 00;21;02;09
it with, a couple of different
municipalities.
00;21;02;12 - 00;21;06;06
It's not the only tool
that you use to plan for these responses,
00;21;06;09 - 00;21;10;02
and this only uses a suite of tools
to supplement the planning
00;21;10;05 - 00;21;11;09
and evacuation performance.
00;21;11;09 - 00;21;13;01
So we have to think about
how we can engage
00;21;13;01 - 00;21;15;01
with the community from the outset
to make sure
00;21;15;01 - 00;21;18;02
that we're preventing these incidents
in the first place.
00;21;18;05 - 00;21;21;08
But if they do occur, to make sure
that we have sufficiently engaged
00;21;21;11 - 00;21;24;12
with them to ensure that individuals,
especially those that are
00;21;24;18 - 00;21;28;00
most vulnerable, are prepared
to evacuate in a timely manner
00;21;28;17 - 00;21;30;06
so we can
we know what the model might say.
00;21;30;08 - 00;21;33;16
We need to make sure that people actually
are ready and waiting to be able
00;21;33;19 - 00;21;36;16
to be evacuated as
and when those events arise.
00;21;36;19 - 00;21;38;10
Yeah, that's
actually going to be my next question,
00;21;38;10 - 00;21;39;24
which is around stakeholder engagement.
00;21;39;24 - 00;21;42;27
So now you have like all this data
and it's being shared with the planners.
00;21;43;00 - 00;21;46;03
But for communities at risk
where they might not have the same
00;21;46;06 - 00;21;51;23
amount of resources, have you seen
this municipalities act and support
00;21;51;26 - 00;21;55;03
various types of communities and build out
stakeholder engagement plans?
00;21;55;06 - 00;21;57;10
Are you involved in that process as well?
00;21;57;13 - 00;22;00;15
Yeah, I think this goes back
to the kind of relationship
00;22;00;18 - 00;22;03;23
between industry and researchers
that Enrico mentioned,
00;22;04;03 - 00;22;07;01
and that's actually led
to a new development within mobility.
00;22;07;01 - 00;22;11;08
We're going to show or we show
even where you can actually be able
00;22;11;11 - 00;22;15;05
to put these outputs
onto tabletops, desktops.
00;22;15;14 - 00;22;18;17
I've been able to kind of zoom in
and see where people are each
00;22;18;20 - 00;22;22;08
time as part of that evacuation,
and that's just a really important
00;22;22;19 - 00;22;26;25
method of being able to engage people,
to be able to see that work is being done.
00;22;27;13 - 00;22;30;18
To address this important issue,
but also to give them a kind of feel
00;22;30;21 - 00;22;32;01
of what it's going to look like
00;22;32;01 - 00;22;35;27
and of where those emerging cities
and at high risk points may be.
00;22;36;00 - 00;22;39;00
So kind of visualizing those outputs
in a way that can be
00;22;39;03 - 00;22;42;04
easily understood by the communities,
is a great development.
00;22;42;07 - 00;22;46;15
And Adam, yeah, because to add on this,
if we will just plug out
00;22;46;18 - 00;22;51;01
a bunch of numbers, yes,
maybe to a fire engineer could be useful.
00;22;51;09 - 00;22;56;06
But for a general public or
even stakeholders that are not necessarily
00;22;56;13 - 00;23;00;12
used to work with the simulation tools
may not be as easily accessible.
00;23;00;15 - 00;23;05;08
So the most recent work that we have been
put has been placed on trying
00;23;05;16 - 00;23;10;04
to visualize outputs in a way
that could be easily digested, let's say,
00;23;10;13 - 00;23;11;17
by everyone.
00;23;11;17 - 00;23;15;08
And also in an interactive way,
so that you could basically see
00;23;15;11 - 00;23;18;19
the evolution of the wildfire evacuation
hypothetical
00;23;18;22 - 00;23;23;00
about wildfire evacuation scenarios,
and then take decisions
00;23;23;03 - 00;23;26;26
based on what you see or inform population
based on what you see.
00;23;27;04 - 00;23;30;22
Do you ever go into the world of augmented
reality,
00;23;30;25 - 00;23;35;02
virtual reality, or any other technologies
to kind of help with that?
00;23;35;12 - 00;23;37;03
What's the experience
that you're building out?
00;23;37;06 - 00;23;40;25
Yeah, the name,
when it actually comes from the tool
00;23;40;28 - 00;23;44;15
that we use behind the scenes to develop
the simulator is unity.
00;23;44;18 - 00;23;47;16
That is one of the most known game
engines.
00;23;47;16 - 00;23;50;13
Just for explaining
what the game engine is, is
00;23;50;16 - 00;23;53;18
what you see behind the scene
when you develop a video game.
00;23;53;27 - 00;23;57;06
This is exactly the world
where we come from, where we are
00;23;57;17 - 00;24;02;15
basically natively a tool
that is designed to work,
00;24;02;22 - 00;24;06;21
for instance, in VR,
so that in the not so far future,
00;24;07;02 - 00;24;11;11
we will not just have a visualization
on the screen on what is happening,
00;24;11;17 - 00;24;14;24
but you should be able
also to wear a head mounted display.
00;24;14;27 - 00;24;17;26
For instance,
am being leaving in first person
00;24;17;29 - 00;24;20;24
how it will look like
if your house is burning.
00;24;20;27 - 00;24;22;23
So that's the idea down the road.
00;24;22;23 - 00;24;23;29
And those things
00;24;23;29 - 00;24;27;18
until a couple of years ago again
looked like sci fi dystopian future.
00;24;27;21 - 00;24;32;02
Now we are getting closer and closer
to actually have something like this
00;24;32;05 - 00;24;35;04
that is not just a game,
but it's actually based
00;24;35;12 - 00;24;38;10
on the physics on the real world data.
00;24;38;13 - 00;24;42;08
So not just, the fetishes
represent of what will happen,
00;24;42;15 - 00;24;46;10
but based on real science
behind the what will actually happen.
00;24;46;18 - 00;24;51;04
So that's the direction where we are
going, especially with VR, mixed reality
00;24;51;11 - 00;24;56;26
to have, tools that can be directly
used to have a first hand experience
00;24;57;03 - 00;25;00;08
of what will look like to leave
a wildfire.
00;25;00;26 - 00;25;01;08
Yeah.
00;25;01;09 - 00;25;05;00
As a designer and an innovation lead,
I always believe that experiences
00;25;05;03 - 00;25;07;29
are like the best way for somebody
to go and test out strategies.
00;25;07;29 - 00;25;10;29
So whether it's visualization,
gamification or,
00;25;11;07 - 00;25;12;04
you know, different ways
00;25;12;04 - 00;25;15;24
to make something more tangible,
I think it just helps with like,
00;25;15;27 - 00;25;17;17
what are some of the flaws
that could happen
00;25;17;17 - 00;25;20;10
if you were to design, for example,
an evacuation plan.
00;25;20;13 - 00;25;23;26
So it's it's awesome to hear that
you have poached a bunch of game designers
00;25;23;29 - 00;25;27;05
to develop something that's
actually very meaningful and can mitigate,
00;25;27;08 - 00;25;30;27
or at least adapt to climate change
as it's more of a reality.
00;25;31;28 - 00;25;35;01
The way
I see it, this is much bigger than regular
00;25;35;04 - 00;25;38;04
building fire safety engineer,
because the scale of the problem,
00;25;38;11 - 00;25;42;15
the financial aspects involved in
destruction from wildfires is much larger.
00;25;42;26 - 00;25;46;19
And the first ones that would be,
let's say, aggressively pulling themselves
00;25;46;22 - 00;25;50;00
into the market systematically,
they will get a big share of it.
00;25;50;10 - 00;25;52;04
And we are now in that transition point
00;25;52;04 - 00;25;55;12
where the technology
is arriving there on the market.
00;25;55;15 - 00;25;57;22
Any start being used concretely?
00;25;57;25 - 00;25;59;26
Yeah, it's
it's really an iterative process.
00;25;59;26 - 00;26;01;03
You know, as planners
00;26;01;06 - 00;26;05;02
working with the developers like Enrico
and then engaging with the community.
00;26;05;11 - 00;26;06;29
And so what we've seen in Colorado,
00;26;06;29 - 00;26;11;00
we worked with them in 2019,
they did an evacuation drill.
00;26;11;07 - 00;26;15;15
We also collected data for the tool,
provided their feedback on how it went.
00;26;15;18 - 00;26;16;26
You know, what can go better.
00;26;16;29 - 00;26;19;02
And then they did another drill
actually last year.
00;26;19;05 - 00;26;20;19
So we're kind of working
with the communities,
00;26;20;19 - 00;26;22;27
engaging with them
that way to inform the tool.
00;26;22;27 - 00;26;26;04
And then as planners we're going back
to the developers as well.
00;26;26;19 - 00;26;28;00
Yeah. That's awesome.
00;26;28;03 - 00;26;30;29
I know we talked a lot
about climate adaptation.
00;26;30;29 - 00;26;33;10
Like at the end of the day,
some of the simulations
00;26;33;10 - 00;26;37;13
that we're developing,
they are to adapt to climate change.
00;26;37;26 - 00;26;41;06
Do you also use technologies
to help with climate mitigation?
00;26;41;26 - 00;26;45;08
I see that the technology
in the kind of evacuation space,
00;26;45;11 - 00;26;49;19
obviously in the planning side, but we can
increasingly see ourselves using it.
00;26;49;21 - 00;26;53;00
So the kind of identification, prediction
00;26;53;03 - 00;26;56;02
and forecasting of where
these wildfires are going to be.
00;26;56;09 - 00;27;00;06
So the earlier that we can find out
where they are starting
00;27;00;16 - 00;27;03;06
and where they are moving to,
00;27;03;09 - 00;27;06;26
gives us that kind of early warning system
that we can able to either put it out
00;27;06;29 - 00;27;08;26
as quick
as we can before it gets too large,
00;27;08;29 - 00;27;13;25
or that we have as much time to evacuate
people from those areas as we can.
00;27;13;28 - 00;27;15;09
So we're starting to see
00;27;15;12 - 00;27;19;21
quite a lot of technological improvements
on the identification of those fires
00;27;19;24 - 00;27;24;03
and those potential severities
and where they are forecasted to move to.
00;27;24;06 - 00;27;27;20
And obviously that has, it's
not a mitigation, but it's an adaptation
00;27;27;23 - 00;27;31;03
that we're having to find as more
people are moving into the world.
00;27;31;23 - 00;27;35;25
And we're also seeing improvements
around communication as well.
00;27;35;28 - 00;27;38;28
So the ability
to get the messaging out there quicker
00;27;39;02 - 00;27;42;00
and via different methods
than we had previously seen.
00;27;42;03 - 00;27;42;26
And obviously
00;27;42;29 - 00;27;46;28
the more people that find out about it
earlier, the shorter their response time,
00;27;47;03 - 00;27;50;03
the quicker that we can get
those communities evacuated.
00;27;50;08 - 00;27;51;10
Got it.
00;27;51;13 - 00;27;54;25
What is the future of wildfire evacuation
00;27;54;28 - 00;27;58;17
and using these simulations, or the future
of just using these simulations?
00;27;58;20 - 00;28;02;28
Overall, I'm
just really excited for using these tools
00;28;03;01 - 00;28;05;21
and really the integration of these tools
as we've been talking about.
00;28;05;21 - 00;28;10;04
So having lunity, having AI
and seeing how we integrate these tools,
00;28;10;14 - 00;28;12;20
and as we collect
more data, it's only going to get better.
00;28;12;20 - 00;28;14;27
So it's I'm really looking forward
to that.
00;28;15;00 - 00;28;17;24
Yeah, I think the pervasiveness of this
is not going to go away.
00;28;17;24 - 00;28;21;10
So I guess in terms of the future
where evacuation modeling for communities
00;28;21;13 - 00;28;24;23
is going to go out, unfortunately it's
going to impact more people.
00;28;24;26 - 00;28;28;09
But hopefully through these tools
and the the pervasiveness of these tools
00;28;28;12 - 00;28;30;08
and to its standards and guidance,
it becomes
00;28;30;08 - 00;28;33;29
much more of a streamlined approach
of which communities from the bottom up
00;28;34;02 - 00;28;37;02
and from the top down and those provinces
and those states
00;28;37;09 - 00;28;40;02
can start to mean
that we get those responses
00;28;40;02 - 00;28;43;02
quicker and more efficient
to impact those communities.
00;28;43;06 - 00;28;46;27
To me, the main key take home message
00;28;47;00 - 00;28;50;25
is that we are now at the turning point
and what was happening.
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Maybe 30, 40, 50 years ago
when we were designing fire
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safety in buildings is now happening
in wildfires at the community scale.
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safety in buildings is now happening
in wildfires at the community scale.
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We will soon reach a point in which
when you all to build a community,
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when you want to plan, new developments,
you will have to do
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an engineering analysis
for wildfire evacuation
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in the same way you would have done it
at the building scale.
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If you're planning a new hospital
or a new facility,
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and this will have
a huge set of implications on the market,
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because, as I said,
the scale of the problem is much larger.
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And I don't talk about twice as large.
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I talk about 10, 100, 1000 times as large
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as what we have when we talk about
designing for fire safety in buildings.
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Brought to you by Nexus, Publish By GHD.
00;29;46;24 - 00;29;47;28
Where ideas connect.
Catch up on:
- The growing complexity of wildfire evacuations and the strategies planners are using to adapt
- How simulation tools, virtual reality and AI are transforming planning and decision-making in the wildland-urban interface (WUI)
- The importance of real-time data in predicting fire spread and guiding faster responses
- Why community input is essential in designing inclusive evacuation strategies
This conversation offers a compelling look at the future of wildfire resilience, where technology, planning and people come together to meet a rapidly evolving challenge.
Smarter insights. Sharper decisions.