A STOCHASTIC PROGRAMMING APPROACH FOR SHELTER LOCATION AND EVACUATION PLANNING
RAIRO-OPERATIONS RESEARCH, vol.52, no.3, pp.779-805, 2018 (SCI-Expanded, SSCI, Scopus)
- Publication Type: Article / Article
- Volume: 52 Issue: 3
- Publication Date: 2018
- Doi Number: 10.1051/ro/2017046
- Journal Name: RAIRO-OPERATIONS RESEARCH
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
- Page Numbers: pp.779-805
- Keywords: Disaster management, evacuation traffic management, shelter location, constrained system optimal, two-stage stochastic programming, second order cone programming, FACILITY LOCATION, MULTIOBJECTIVE APPROACH, ROUTING PROBLEM, EMERGENCY, NETWORK, MODEL, DESIGN, RELIABILITY, FORMULATION, ALGORITHM
- Open Archive Collection: AVESIS Open Access Collection
- TED University Affiliated: Yes
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.