Can Digital Simulation Save Lives? | Nexus

Can digital simulation save lives?

How technology is transforming wildfire response
23 January 2026
Nexus - Dan Stockdale - Kamryn Kubose-Peutz - Hero/Hover Search
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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

00;14;41;17 - 00;14;44;17

that you may not be

and kind of thought about before.

00;14;44;22 - 00;14;47;25

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.

00;28;50;28 - 00;28;55;19

Maybe 30, 40, 50 years ago

when we were designing fire

00;28;55;22 - 00;28;56;26

safety in buildings is now happening

in wildfires at the community scale.

00;28;56;26 - 00;29;00;08

safety in buildings is now happening

in wildfires at the community scale.

00;29;00;24 - 00;29;04;25

We will soon reach a point in which

when you all to build a community,

00;29;04;28 - 00;29;08;27

when you want to plan, new developments,

you will have to do

00;29;09;00 - 00;29;12;05

an engineering analysis

for wildfire evacuation

00;29;12;08 - 00;29;16;00

in the same way you would have done it

at the building scale.

00;29;16;03 - 00;29;19;08

If you're planning a new hospital

or a new facility,

00;29;19;16 - 00;29;24;04

and this will have

a huge set of implications on the market,

00;29;24;07 - 00;29;28;28

because, as I said,

the scale of the problem is much larger.

00;29;29;01 - 00;29;31;02

And I don't talk about twice as large.

00;29;31;02 - 00;29;35;14

I talk about 10, 100, 1000 times as large

00;29;35;21 - 00;29;40;24

as what we have when we talk about

designing for fire safety in buildings.

00;29;43;16 - 00;29;46;16

Brought to you by Nexus, Publish By GHD.

00;29;46;24 - 00;29;47;28

Where ideas connect.

Wildfires are becoming more intense and unpredictable, forcing communities to rethink how they prepare and respond. In this podcast episode, we're joined by Enrico Ronchi (Lund University), Dan Stockdale (GHD) and Kamryn Kubose-Peutz (GHD) to explore how simulation technology is reshaping emergency management and helping save lives. 

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.

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