Traffic Performance Indicators for Evacuation: The Case Study of the 2020 Silverado Wildfire

Abstract This study aims to facilitate the study of traffic dynamics in wildfire evacuation scenarios. To do so, it defines a set of traffic performance indicators to investigate traffic dynamics before and during wildfire evacuation events. These indicators include the following: system efficiency, travel time ratio, level of service, and jam time. To highlight the benefits and effectiveness of using these indicators, we demonstrated their application through the context of the 2020 Silverado fire in California, USA. In total, 66,924 traffic data points from 18 locations were obtained through the publicly available dataset of the California Department of Transportation. Results indicate a 7.5 km/h speed reduction during evacuation compared to routine conditions. In addition, traffic performance indicators confirmed that evacuation conditions may increase the times needed to reach destinations. This paper also demonstrates the need for using dedicated relationships for wildfire evacuation for developing, calibrating, and validating traffic modeling tools.

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Publication Details

Journal
Fire Technology
Published
2025-10-03
DOI
https://doi.org/10.1007/s10694-025-01813-y
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Traffic Performance Indicators for Evacuation: The Case Study of the 2020 Silverado Wildfire

Enrico Ronchi, Noureddine Bénichou, Arthur Rohaert, Erica D. Kuligowski et al.
Fire Technology
Evacuation and Crowd Dynamics
article

Traffic Performance Indicators for Evacuation: The Case Study of the 2020 Silverado Wildfire

Enrico Ronchi, Noureddine Bénichou, Arthur Rohaert, Erica D. Kuligowski, Nima Janfeshanaraghi
article en

Abstract

Abstract This study aims to facilitate the study of traffic dynamics in wildfire evacuation scenarios. To do so, it defines a set of traffic performance indicators to investigate traffic dynamics before and during wildfire evacuation events. These indicators include the following: system efficiency, travel time ratio, level of service, and jam time. To highlight the benefits and effectiveness of using these indicators, we demonstrated their application through the context of the 2020 Silverado fire in California, USA. In total, 66,924 traffic data points from 18 locations were obtained through the publicly available dataset of the California Department of Transportation. Results indicate a 7.5 km/h speed reduction during evacuation compared to routine conditions. In addition, traffic performance indicators confirmed that evacuation conditions may increase the times needed to reach destinations. This paper also demonstrates the need for using dedicated relationships for wildfire evacuation for developing, calibrating, and validating traffic modeling tools.

Fire TechnologyVol. 61(7)
Lund University (SE), MIT University (MK), National Research Council Canada (CA), RMIT University (AU)
U.S. Department of Commerce, Australian Government, National Institute of Standards and Technology, National Research Council Canada
Openalex Percentile: Top 66%
Evacuation and Crowd Dynamics
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Traffic Performance Indicators for Evacuation: The Case Study of the 2020 Silverado Wildfire — Enrico Ronchi, Noureddine Bénichou, et al. · Fire Technology (2025) | TGRS Research Map | TGRS