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Determinants Of Household Hurricane Evacuation Choice In Flordia

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  • Solis, Daniel
  • Thomas, Michael H.
  • Letson, David

Abstract

In this study we implement a set of econometric models to analyze the determinants of household hurricane evacuation choice for a sample of 1,355 households in Florida. This article contributes to the literature by accounting for two issues normally neglected in previous studies; namely, time and space. The empirical results suggest that households living in risky environments (mobile home and flooding areas) are more likely to evacuate. In addition, households with kids and those who have experience the treat of a hurricane also display higher probabilities to evacuate. Conversely, homeowners and households with pets are less likely to evacuate than their counterparts. Regional differences in propensity to evacuate are also clearly demonstrated, with households in southeast Florida less likely to evacuate than those in northwest Florida.

Suggested Citation

  • Solis, Daniel & Thomas, Michael H. & Letson, David, 2009. "Determinants Of Household Hurricane Evacuation Choice In Flordia," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 45338, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeana:45338
    DOI: 10.22004/ag.econ.45338
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    References listed on IDEAS

    as
    1. John C. Whitehead, 2000. "“One Million Dollars a Mile? The Opportunity Costs of Hurricane Evacuation,”," Working Papers 0005, East Carolina University, Department of Economics.
    2. Lara-Chavez, Angel & Alexander, Corinne E., 2006. "The Effects of Hurricane Katrina on Corn, Wheat and Soybean Futures Prices and Basis," 2006 Conference, April 17-18, 2006, St. Louis, Missouri 18994, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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    Cited by:

    1. Kannika Thampanishvong, 2013. "Determinants of Flash Flood Evacuation Choices and Assessment of Preferences for Flash Flood Warning Channels: The Case of Thailand," EEPSEA Research Report rr2013034, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2013.
    2. 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.
    3. Md Tawfiq Sarwar & Panagiotis Ch. Anastasopoulos & Satish V. Ukkusuri & Pamela Murray-Tuite & Fred L. Mannering, 2018. "A statistical analysis of the dynamics of household hurricane-evacuation decisions," Transportation, Springer, vol. 45(1), pages 51-70, January.
    4. Hamidreza Shabanikiya & Hesam Seyedin & Hamid Haghani & Abbasali Ebrahimian, 2014. "Behavior of crossing flood on foot, associated risk factors and estimating a predictive model," 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. 73(2), pages 1119-1126, September.
    5. Pallab Mozumder & William Vásquez, 2015. "An empirical analysis of hurricane evacuation expenditures," 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. 79(1), pages 81-92, October.
    6. Dean Kyne & William Donner, 2018. "Kyne–Donner Model of Authority’s Recommendation and Hurricane Evacuation Decisions: A Study of Hypothetical Hurricane Event in the Rio Grande Valley, Texas," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(6), pages 897-922, December.

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