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

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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Publication Details

Journal
Safety Science
Published
2024-10-22
DOI
https://doi.org/10.1016/j.ssci.2024.106691
Citations
3
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
0.85

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article

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

Harry Mitchell, Enrico Ronchi, Guillermo Rein, Erica D. Kuligowski et al.
3 citations
Safety Science
Fire effects on ecosystems
0.85
article

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

Harry Mitchell, Enrico Ronchi, Guillermo Rein, Erica D. Kuligowski, Nikolaos Kalogeropoulos
article en
3 citations

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 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.

Safety ScienceVol. 181
National Institute of Standards and Technology, National Research Council Canada, Engineering and Physical Sciences Research Council
Climate action
Openalex Percentile: Top 27%
Fire effects on ecosystems
0.85
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