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Understanding Evacuee Behavior: A Case Study of Hurricane Irma

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  • Wong, Stephen
  • Shaheen, Susan PhD
  • Walker, Joan PhD

Abstract

In September 2017, Hurricane Irma prompted one of the largest evacuations in U.S. history of over six million people. This mass movement of people, particularly in Florida, required considerable amounts of public resources and infrastructure to ensure the safety of all evacuees in both transportation and sheltering. Given the extent of the disaster and the evacuation, Hurricane Irma is an opportunity to add to the growing knowledge of evacuee behavior and the factors that influence a number of complex choices that individuals make before, during, and after a disaster. At the same time, emergency management agencies in Florida stand to gain considerable insight into their response strategies through a consolidation of effective practices and lessons learned. To explore these opportunities, we distributed an online survey (n = 645) across Florida with the help of local agencies through social media platforms, websites, and alert services. Areas impacted by Hurricane Irma were targeted for survey distribution. The survey also makes notable contributions by including questions related to reentry, a highly under-studied aspect of evacuations. To determine both evacuee and non-evacuee behavior, we analyze the survey data using descriptive statistics and discrete choice models. We conduct this analysis across a variety of critical evacuation choices including decisions related to evacuating or staying, departure timing, destination, evacuation shelter, transportation mode, route, and reentry timing.

Suggested Citation

  • Wong, Stephen & Shaheen, Susan PhD & Walker, Joan PhD, 2018. "Understanding Evacuee Behavior: A Case Study of Hurricane Irma," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9370z127, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt9370z127
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    1. Xu, Kecheng & Davidson, Rachel A. & Nozick, Linda K. & Wachtendorf, Tricia & DeYoung, Sarah E., 2016. "Hurricane evacuation demand models with a focus on use for prediction in future events," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 90-101.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, Enero-Abr.
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    1. Matthew Billman & Kayode Atoba & Courtney Thompson & Samuel Brody, 2023. "How about Now? Changes in Risk Perception before and after Hurricane Irma," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    2. Hector R. Lim & Ma. Bernadeth B. Lim & Ann Wendy M. Rojas, 2022. "Towards modelling of evacuation behavior and planning for emergency logistics due to the Philippine Taal Volcanic eruption in 2020," 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. 114(1), pages 553-581, October.
    3. Stephen D. Wong & Jacquelyn C. Broader & Joan L. Walker & Susan A. Shaheen, 2023. "Understanding California wildfire evacuee behavior and joint choice making," Transportation, Springer, vol. 50(4), pages 1165-1211, August.
    4. Ding Wang & Kaan Ozbay & Zilin Bian, 2021. "Modeling and Analysis of Optimal Strategies for Leveraging Ride-Sourcing Services in Hurricane Evacuation," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    5. Wang, Qingyi & Wallace, Stein W., 2022. "Non-compliance in transit-based evacuation pick-up point assignments," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).

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