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Title:

Using Hypothetical Disaster Scenarios to Predict Evacuation Behavioral Response

Accession Number:

01157074

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Disaster evacuation studies most often address only one type of disaster such as a hurricane or nuclear incident. All-hazards emergency planning requires an understanding of how populations may respond to a range of disaster types. This study uses data from a survey of residents living in northern New Jersey to compare stated evacuation behavior under four hypothetical disaster scenarios–a hurricane, industrial accident, “dirty-bomb” attack and catastrophic nuclear explosion. Data includes responses from 2,218 completed interviews. Logistic regression models indicate that predictions of evacuation likelihood are more reliable under a hurricane scenario than for disasters with no advance notice. The analysis shows that risk perception and proximity are important determinants of evacuation behavior for all types of disasters; however, distance-decay functions vary according to disaster type. Socioeconomic variables play a more discernible role in predicting evacuation behavior under a hurricane scenario than other types of disasters.

Monograph Accession #:

01147878

Report/Paper Numbers:

10-1175

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Carnegie, Jon
Deka, Devajyoti

Pagination:

18p

Publication Date:

2010

Conference:

Transportation Research Board 89th Annual Meeting

Location: Washington DC, United States
Date: 2010-1-10 to 2010-1-14
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

References (34) ; Tables (6)

Uncontrolled Terms:

Subject Areas:

Highways; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2010 Paper #10-1175

Files:

TRIS, TRB

Created Date:

Jan 25 2010 10:31AM