RAIRO-OPERATIONS RESEARCH, vol.52, no.3, pp.779-805, 2018 (SCI-Expanded)
Article / Article
Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
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
TED University Affiliated:
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.