Bayram, V.Yaman, Hande2019-01-272019-01-2720180399-0559http://hdl.handle.net/11693/48401Shelter 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 valuesEnglishDisaster managementEvacuation traffic managementShelter locationConstrained system optimalTwo-stage stochastic programmingSecond order cone programmingArticle10.1051/ro/20170461290-3868