Master of Science (MS)
First Advisor's Name
B. M. Golam Kibria
First Advisor's Committee Title
Second Advisor's Name
Second Advisor's Committee Title
Third Advisor's Name
Fourth Advisor's Name
hurricane evacuation, bivariate probit model, Georgia, Virginia
Date of Defense
With evidence of increasing hurricane risks in Georgia Coastal Area (GCA) and Virginia in the U.S. Southeast and elsewhere, understanding intended evacuation behavior is becoming more and more important for community planners. My research investigates intended evacuation behavior due to hurricane risks, a behavioral survey of the six counties in GCA under the direction of two social scientists with extensive experience in survey research related to citizen and household response to emergencies and disasters. Respondents gave answers whether they would evacuate under both voluntary and mandatory evacuation orders. Bivariate probit models are used to investigate the subjective belief structure of whether or not the respondents are concerned about the hurricane, and the intended probability of evacuating as a function of risk perception, and a lot of demographic and socioeconomic variables (e.g., gender, military, age, length of residence, owning vehicles).
Jiang, Fan, "Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane" (2013). FIU Electronic Theses and Dissertations. 883.
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