Document Type

Thesis

Degree

Master of Science (MS)

Department

Statistics

First Advisor's Name

B M Golam Kibria

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Pallab Mozumder

Second Advisor's Committee Title

Committee chair

Third Advisor's Name

Florence George

Fourth Advisor's Name

Xia Jin

Keywords

Hurricane evacuation, Standard logistic model, mixed logistic model, Hurricane Ike

Date of Defense

6-16-2015

Abstract

Hurricanes have been considered one of the most costly disasters in United State, which lead to both economic loss and human fatalities. Therefore, understanding the characteristics of those who evacuated and of those who did not evacuate have been principal focus of some previous researches related to hurricane evacuation behavior. This research presents two sets of decision-making models for analyzing hurricane evacuation behavior, using two statistical methods: standard logistic model and mixed logistic model.The receipt of evacuation order, elevation, expenditure, the presence of children and elderly people, ownership of a house, and receipt of hurricane warning are found to be extremely important in evacuation decision making. When the mixed logistic model is applied, the rate of concern about hurricane threat is assumed to be random according to normal distribution. Mixed logistic models which account for the heterogeneity of household responses are found to perform better than standard logistic model.

Identifier

FIDC000121

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