A stochastic programming approach for Shelter location and evacuation planning
Date
2018Source Title
RAIRO - Operations Research
Print ISSN
0399-0559
Electronic ISSN
1290-3868
Publisher
EDP Sciences
Volume
53
Issue
3
Pages
779 - 805
Language
English
Type
ArticleItem Usage Stats
241
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329
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Abstract
Shelter location and traffic allocation decisions are critical for an efficient evacuation plan. In this study, we propose a scenario-based two-stage stochastic evacuation planning model that optimally locates shelter sites and that assigns evacuees to nearest shelters and to shortest paths within a tolerance degree to minimize the expected total evacuation time. Our model considers the uncertainty in the evacuation demand and the disruption in the road network and shelter sites. We present a case study for a potential earthquake in Istanbul. We compare the performance of the stochastic programming solutions to solutions based on single scenarios and mean values
Keywords
Disaster managementEvacuation traffic management
Shelter location
Constrained system optimal
Two-stage stochastic programming
Second order cone programming