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Understanding California wildfire evacuee behavior and joint choice making

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  • Wong, Stephen D PhD
  • Broader, Jacquelyn C
  • Walker, Joan L PhD
  • Shaheen, Susan A PhD

Abstract

For evacuations, people must make the critical decision to evacuate or stay followed by a multi-dimensional choice composed of concurrent decisions of their departure time, transportation mode, route, destination, and shelter type. These choices have important impacts on transportation response and evacuation outcomes. While extensive research has been conducted on hurricane evacuation behavior, little is known about wildfire evacuation behavior. To address this critical research gap, particularly related to joint choice-making in wildfires, we surveyed individuals impacted by the 2017 December Southern California Wildfires (n = 226) and the 2018 Carr Wildfire (n = 284). Using these data, we contribute to the literature in two key ways. First, we develop two latent class choice models (LCCMs) to evaluate the factors that influence the decision to evacuate or stay/defend. We find an evacuation keen class and an evacuation reluctant class that are influenced differently by mandatory evacuation orders. This nuance is further supported by different membership of people to the classes based on demographics and risk perceptions. Second, we develop two portfolio choice models (PCMs), which jointly model choice dimensions to assess multi-dimensional evacuation choice. We find several similarities between wildfires including a joint preference for within-county and nighttime evacuations and a joint dislike for within-county and highway evacuations. Altogether, this paper provides evidence of heterogeneity in response to mandatory evacuation orders for wildfires, distinct membership of populations to different classes of people for evacuating or staying/defending, and clear correlation among key wildfire evacuation choices that necessitates joint modeling to holistically understanding wildfire evacuation behavior.

Suggested Citation

  • Wong, Stephen D PhD & Broader, Jacquelyn C & Walker, Joan L PhD & Shaheen, Susan A PhD, 2022. "Understanding California wildfire evacuee behavior and joint choice making," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fm7d34j, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt4fm7d34j
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    References listed on IDEAS

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    1. Philip E. Dennison & Thomas J. Cova & Max A. Mortiz, 2007. "WUIVAC: a wildland-urban interface evacuation trigger model applied in strategic wildfire scenarios," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(1), pages 181-199, April.
    2. Cova, Thomas J. & Johnson, Justin P., 2003. "A network flow model for lane-based evacuation routing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 579-604, August.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Enero-Abr.
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    Cited by:

    1. E. Ronchi & J. Wahlqvist & A. Ardinge & A. Rohaert & S. M. V. Gwynne & G. Rein & H. Mitchell & N. Kalogeropoulos & M. Kinateder & N. Bénichou & E. Kuligowski & A. Kimball, 2023. "The verification of wildland–urban interface fire evacuation models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1493-1519, June.
    2. Cova, Thomas J. & Sun, Yuran & Zhao, Xilei & Liu, Yepeng & Kuligowski, Erica D. & Janfeshanaraghi, Nima & Lovreglio, Ruggiero, 2024. "Destination unknown: Examining wildfire evacuee trips using GPS data," Journal of Transport Geography, Elsevier, vol. 117(C).
    3. Zhang, Xiaojian & Zhao, Xilei & Xu, Yiming & Nilsson, Daniel & Lovreglio, Ruggiero, 2024. "Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    4. Soga, Kenichi PhD & Comfort, Louise PhD & Li, Pengshun & Zhao, Bingyu PhD & Lorusso, Paola, 2024. "Testing Wildfire Evacuation Strategies and Coordination Plans for Wildland-Urban Interface (WUI) Communities in California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt78n6n8rf, Institute of Transportation Studies, UC Berkeley.

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