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Quantifying dire evacuations in case of wildfire using trigger boundaries and case study of the 2018 Mati wildfire in Greece

Kalogeropoulos, Nikolaos ; Mitchell, Harry ; Kuligowski, Erica ; Ronchi, Enrico LU orcid and Rein, Guillermo (2025) In Safety Science 181.
Abstract

Wildfire evacuation is a life-saving measure of last resort, but delays can lead to dire outcomes, putting people at risk of fire entrapment. The success or failure of an evacuation depends on the relative speeds of the wildfire and the evacuation, and this varies across communities and wildfires. Despite the importance of understanding this dynamic, no formal framework exists to define or quantify a dire evacuation, and the term is often used informally in technical literature. This paper proposes a method for quantitatively defining dire evacuations using trigger boundaries. Trigger boundaries are perimeters indicating that the time left before a wildfire reaches a community equals the time required for evacuation. By treating both... (More)

Wildfire evacuation is a life-saving measure of last resort, but delays can lead to dire outcomes, putting people at risk of fire entrapment. The success or failure of an evacuation depends on the relative speeds of the wildfire and the evacuation, and this varies across communities and wildfires. Despite the importance of understanding this dynamic, no formal framework exists to define or quantify a dire evacuation, and the term is often used informally in technical literature. This paper proposes a method for quantitatively defining dire evacuations using trigger boundaries. Trigger boundaries are perimeters indicating that the time left before a wildfire reaches a community equals the time required for evacuation. By treating both wildfire spread and evacuation times as probabilistic variables, we introduce an evacuation safety factor to assess the likelihood of a dire evacuation. This factor ranges from 1 (no risk of dire evacuation) to 0 (100% risk). Trigger boundaries thus define the latest wildfire location with a low risk of a dire evacuation. The 2018 Mati wildfire in Greece illustrates this approach. In Mati, fast-moving flames led to a dire evacuation with 104 fatalities. Our model shows that its evacuation safety factor was well below 1 even from the moment the wildfire was detected, indicating a high probability of dire evacuation from the start. This methodology can be applied to past wildfires for forensic analysis or to guide future evacuation strategies. Identifying trigger boundaries allows communities to prepare more effectively for wildfire threats and enhance their safety plans.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Disaster, Evacuation, Fire, Planning, Simulation
in
Safety Science
volume
181
article number
106691
publisher
Elsevier
external identifiers
  • scopus:85206912658
ISSN
0925-7535
DOI
10.1016/j.ssci.2024.106691
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 The Author(s)
id
efbba414-a1d9-4c67-8791-0da567139a04
date added to LUP
2024-11-26 10:18:31
date last changed
2025-04-04 14:55:54
@article{efbba414-a1d9-4c67-8791-0da567139a04,
  abstract     = {{<p>Wildfire evacuation is a life-saving measure of last resort, but delays can lead to dire outcomes, putting people at risk of fire entrapment. The success or failure of an evacuation depends on the relative speeds of the wildfire and the evacuation, and this varies across communities and wildfires. Despite the importance of understanding this dynamic, no formal framework exists to define or quantify a dire evacuation, and the term is often used informally in technical literature. This paper proposes a method for quantitatively defining dire evacuations using trigger boundaries. Trigger boundaries are perimeters indicating that the time left before a wildfire reaches a community equals the time required for evacuation. By treating both wildfire spread and evacuation times as probabilistic variables, we introduce an evacuation safety factor to assess the likelihood of a dire evacuation. This factor ranges from 1 (no risk of dire evacuation) to 0 (100% risk). Trigger boundaries thus define the latest wildfire location with a low risk of a dire evacuation. The 2018 Mati wildfire in Greece illustrates this approach. In Mati, fast-moving flames led to a dire evacuation with 104 fatalities. Our model shows that its evacuation safety factor was well below 1 even from the moment the wildfire was detected, indicating a high probability of dire evacuation from the start. This methodology can be applied to past wildfires for forensic analysis or to guide future evacuation strategies. Identifying trigger boundaries allows communities to prepare more effectively for wildfire threats and enhance their safety plans.</p>}},
  author       = {{Kalogeropoulos, Nikolaos and Mitchell, Harry and Kuligowski, Erica and Ronchi, Enrico and Rein, Guillermo}},
  issn         = {{0925-7535}},
  keywords     = {{Disaster; Evacuation; Fire; Planning; Simulation}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Safety Science}},
  title        = {{Quantifying dire evacuations in case of wildfire using trigger boundaries and case study of the 2018 Mati wildfire in Greece}},
  url          = {{http://dx.doi.org/10.1016/j.ssci.2024.106691}},
  doi          = {{10.1016/j.ssci.2024.106691}},
  volume       = {{181}},
  year         = {{2025}},
}