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Improving Our Understanding of Fire Evacuation and Displacement Effects

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  • Grajdura, Sarah
  • Niemeier, Deb

Abstract

This report addresses wildfire evacuation behavior under a large-scale wildfire with inadequate warning. Modeling the awareness, preparation, and departure times, the socio-demographic factors affecting evacuation timing include smartphone ownership and higher income, which were associated with earlier awareness; those living longer in the community had later preparation and departure times. This information gives insight to target those who may be most at-risk during this type of evacuation. The researchers simulate a short-notice evacuation using an agent-based model of the 2018 Camp Fire to explore different worst-case scenarios such as reduced vehicle access, smartphone loss, and delayed awareness. The researchers find that these scenarios lead to longer evacuation travel times, and that the limited vehicles and awareness delays lead to more trapped agents. Lastly, the researchers present findings of first-person interviews, which cover evacuation and post-evacuation displacement experiences. These interviews help contextualize our previous findings and present areas for future improvement. View the NCST Project Webpage

Suggested Citation

  • Grajdura, Sarah & Niemeier, Deb, 2022. "Improving Our Understanding of Fire Evacuation and Displacement Effects," Institute of Transportation Studies, Working Paper Series qt6h99c6j0, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt6h99c6j0
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    References listed on IDEAS

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    1. Michael Lindell & Jung Kang & Carla Prater, 2011. "The logistics of household hurricane evacuation," 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. 58(3), pages 1093-1109, September.
    2. Adam Pel & Michiel Bliemer & Serge Hoogendoorn, 2012. "A review on travel behaviour modelling in dynamic traffic simulation models for evacuations," Transportation, Springer, vol. 39(1), pages 97-123, January.
    3. Zhao, Bingyu & Wong, Stephen D, 2021. "Developing Transportation Response Strategies for Wildfire Evacuations via an Empirically Supported Traffic Simulation of Berkeley, California," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt70p6k4rf, Institute of Transportation Studies, UC Berkeley.
    4. X Chen & F B Zhan, 2008. "Agent-based modelling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 25-33, January.
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