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Traffic modeling for wildland-urban interface fire evacuation

Intini, Paolo LU ; Ronchi, Enrico LU ; Gwynne, Steven and Pel, Adam (2019) In Journal of Transportation Engineering Part A: Systems 145(3).
Abstract

Several traffic modeling tools are currently available for evacuation planning and real-time decision support during emergencies. This paper reviews potential traffic-modeling approaches in the context of wildland-urban interface (WUI) fire-evacuation applications. Existing modeling approaches and features are evaluated pertaining to fire-related, spatial, and demographic factors; intended application (planning or decision support); and temporal issues. This systematic review shows the importance of the following modeling approaches: dynamic modeling structures, considering behavioral variability and route choice; activity-based models for short-notice evacuation planning; and macroscopic traffic simulation for real-time evacuation... (More)

Several traffic modeling tools are currently available for evacuation planning and real-time decision support during emergencies. This paper reviews potential traffic-modeling approaches in the context of wildland-urban interface (WUI) fire-evacuation applications. Existing modeling approaches and features are evaluated pertaining to fire-related, spatial, and demographic factors; intended application (planning or decision support); and temporal issues. This systematic review shows the importance of the following modeling approaches: dynamic modeling structures, considering behavioral variability and route choice; activity-based models for short-notice evacuation planning; and macroscopic traffic simulation for real-time evacuation management. Subsequently, the modeling features of 22 traffic models and applications currently available in practice and the literature are reviewed and matched with the benchmark features identified for WUI fire applications. Based on this review analysis, recommendations are made for developing traffic models specifically applicable to WUI fire evacuation, including possible integrations with wildfire and pedestrian models.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Journal of Transportation Engineering Part A: Systems
volume
145
issue
3
publisher
American Society of Civil Engineers (ASCE)
external identifiers
  • scopus:85059900755
ISSN
2473-2907
DOI
10.1061/JTEPBS.0000221
language
English
LU publication?
yes
id
7bd1c388-938a-4a0f-8902-eceb791b2c64
date added to LUP
2019-01-23 09:56:05
date last changed
2019-09-17 04:47:29
@article{7bd1c388-938a-4a0f-8902-eceb791b2c64,
  abstract     = {<p>Several traffic modeling tools are currently available for evacuation planning and real-time decision support during emergencies. This paper reviews potential traffic-modeling approaches in the context of wildland-urban interface (WUI) fire-evacuation applications. Existing modeling approaches and features are evaluated pertaining to fire-related, spatial, and demographic factors; intended application (planning or decision support); and temporal issues. This systematic review shows the importance of the following modeling approaches: dynamic modeling structures, considering behavioral variability and route choice; activity-based models for short-notice evacuation planning; and macroscopic traffic simulation for real-time evacuation management. Subsequently, the modeling features of 22 traffic models and applications currently available in practice and the literature are reviewed and matched with the benchmark features identified for WUI fire applications. Based on this review analysis, recommendations are made for developing traffic models specifically applicable to WUI fire evacuation, including possible integrations with wildfire and pedestrian models.</p>},
  articleno    = {04019002},
  author       = {Intini, Paolo and Ronchi, Enrico and Gwynne, Steven and Pel, Adam},
  issn         = {2473-2907},
  language     = {eng},
  number       = {3},
  publisher    = {American Society of Civil Engineers (ASCE)},
  series       = {Journal of Transportation Engineering Part A: Systems},
  title        = {Traffic modeling for wildland-urban interface fire evacuation},
  url          = {http://dx.doi.org/10.1061/JTEPBS.0000221},
  volume       = {145},
  year         = {2019},
}