Journal
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume 48, Issue 4, Pages 715-729Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2011.12.004
Keywords
Hurricane evacuation; Shelter location; Bilevel programming; Stochastic programming; Dynamic traffic assignment; Heuristic
Categories
Funding
- National Science Foundation [SES-0826832]
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [0826832] Funding Source: National Science Foundation
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This paper develops a scenario-based bilevel programming model to optimize the selection of shelter locations with explicit consideration of a range of possible hurricane events and the evacuation needs under each of those events. A realistic case study for the state of North Carolina is presented. Through the case study, we demonstrate (i) the criticality of considering multiple hurricane scenarios in the location of shelters, and: (ii) the importance of considering the transportation demands of all evacuees when selecting locations for public shelters. (C) 2012 Elsevier Ltd. All rights reserved.
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