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Hurricane Katrina: Who Stayed and Why?

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  • Brian Thiede
  • David Brown

Abstract

This paper contributes to the growing body of social science research on population displacement from disasters by examining the social determinants of evacuation behavior. It seeks to clarify the effects of race and socioeconomic status on evacuation outcomes vis-a-vis previous research on Hurricane Katrina, and it expands upon prior research on evacuation behavior more generally by differentiating non-evacuees according to their reasons for staying. This research draws upon the Harvard Medical School Hurricane Katrina Community Advisory Group’s 2006 survey of individuals affected by Hurricane Katrina. Using these data, we develop two series of logistic regression models. The first set of models predicts the odds that respondents evacuated prior to the storm, relative to delayed- or non-evacuation; the second group of models predicts the odds that non-evacuees were unable to evacuate relative to having chosen to stay. We find that black and low-education respondents were least likely to evacuate prior to the storm and among non-evacuees, most likely to have been unable to evacuate. Respondents’ social networks, information attainment, and geographic location also affected evacuation behavior. We discuss these findings and outline directions for future research. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Brian Thiede & David Brown, 2013. "Hurricane Katrina: Who Stayed and Why?," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 32(6), pages 803-824, December.
    • Handle: RePEc:kap:poprpr:v:32:y:2013:i:6:p:803-824
    DOI: 10.1007/s11113-013-9302-9
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    References listed on IDEAS

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    Cited by:

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    4. Rebecca R. Thompson & Dana Rose Garfin & Roxane Cohen Silver, 2017. "Evacuation from Natural Disasters: A Systematic Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 812-839, April.
    5. Rahimi-Golkhandan, Armin & Aslani, Babak & Mohebbi, Shima, 2022. "Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
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    8. Nejad, Mohammad Motalleb & Erdogan, Sevgi & Cirillo, Cinzia, 2021. "A statistical approach to small area synthetic population generation as a basis for carless evacuation planning," Journal of Transport Geography, Elsevier, vol. 90(C).
    9. Choirul Amin & Sukamdi Sukamdi & Rijanta Rijanta, 2021. "Exploring Migration Hold Factors in Climate Change Hazard-Prone Area Using Grounded Theory Study: Evidence from Coastal Semarang, Indonesia," Sustainability, MDPI, vol. 13(8), pages 1-18, April.

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