Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane

Authors

Fan Jiang, Florida International UniversityFollow

Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Statistics

First Advisor's Name

B. M. Golam Kibria

First Advisor's Committee Title

Committee Co-Chair

Second Advisor's Name

Pallab Mozumder

Second Advisor's Committee Title

Committee Co-Chair

Third Advisor's Name

Hugh Gladwin

Fourth Advisor's Name

Florence George

Keywords

hurricane evacuation, bivariate probit model, Georgia, Virginia

Date of Defense

3-28-2013

Abstract

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).

Identifier

FI13042512

Recommended Citation

Jiang, Fan, "Application of a Bivariate Probit Model to Investigate the Intended Evacuation from Hurricane" (2013). FIU Electronic Theses and Dissertations. 883.
https://digitalcommons.fiu.edu/etd/883