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Evacuation modelling for bushfire : the WUI-NITY simulation platform

Kuligowski, E. ; Ronchi, E. LU orcid ; Wahlqvist, J. LU ; Gwynne, S. M.V. LU ; Kinateder, M. ; Rein, Guillermo ; Mitchell, H. ; Bénichou, N. and Kimball, A. (2022) In Australian Journal of Emergency Management 37(4). p.40-43
Abstract

The number of people who live in bushfire-prone areas around the world is growing. In Australia, in the states of Victoria and New South Wales, over 1.5 million people live in areas rated as high to extreme bushfire risk in (SGS Economics and Planning 2019). As effects of climate change increase the size and severity of bushfires, and a greater number of people move into these at-risk areas, there is a growing imperative to understand the likely evacuation outcomes of bushfireprone communities under various fire scenarios. This paper introduces a freely available simulation platform called WUI-NITY that can be used by evacuation planners and decisionmakers to forecast evacuation behaviour within affected areas, and in turn, better... (More)

The number of people who live in bushfire-prone areas around the world is growing. In Australia, in the states of Victoria and New South Wales, over 1.5 million people live in areas rated as high to extreme bushfire risk in (SGS Economics and Planning 2019). As effects of climate change increase the size and severity of bushfires, and a greater number of people move into these at-risk areas, there is a growing imperative to understand the likely evacuation outcomes of bushfireprone communities under various fire scenarios. This paper introduces a freely available simulation platform called WUI-NITY that can be used by evacuation planners and decisionmakers to forecast evacuation behaviour within affected areas, and in turn, better prepare for and respond to future bushfire events.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Australian Journal of Emergency Management
volume
37
issue
4
pages
4 pages
publisher
Australian Institute for Disaster Resilience
external identifiers
  • scopus:85141773541
ISSN
1324-1540
language
English
LU publication?
yes
id
3375195e-f69e-4ad8-a454-2681a87d2676
date added to LUP
2022-12-23 12:00:37
date last changed
2022-12-23 17:00:43
@article{3375195e-f69e-4ad8-a454-2681a87d2676,
  abstract     = {{<p>The number of people who live in bushfire-prone areas around the world is growing. In Australia, in the states of Victoria and New South Wales, over 1.5 million people live in areas rated as high to extreme bushfire risk in (SGS Economics and Planning 2019). As effects of climate change increase the size and severity of bushfires, and a greater number of people move into these at-risk areas, there is a growing imperative to understand the likely evacuation outcomes of bushfireprone communities under various fire scenarios. This paper introduces a freely available simulation platform called WUI-NITY that can be used by evacuation planners and decisionmakers to forecast evacuation behaviour within affected areas, and in turn, better prepare for and respond to future bushfire events.</p>}},
  author       = {{Kuligowski, E. and Ronchi, E. and Wahlqvist, J. and Gwynne, S. M.V. and Kinateder, M. and Rein, Guillermo and Mitchell, H. and Bénichou, N. and Kimball, A.}},
  issn         = {{1324-1540}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{40--43}},
  publisher    = {{Australian Institute for Disaster Resilience}},
  series       = {{Australian Journal of Emergency Management}},
  title        = {{Evacuation modelling for bushfire : the WUI-NITY simulation platform}},
  volume       = {{37}},
  year         = {{2022}},
}