dc.contributor.author | Bayram, V. | en_US |
dc.contributor.author | Yaman, Hande | en_US |
dc.date.accessioned | 2019-01-27T13:41:31Z | |
dc.date.available | 2019-01-27T13:41:31Z | |
dc.date.issued | 2018 | en_US |
dc.identifier.issn | 0399-0559 | |
dc.identifier.uri | http://hdl.handle.net/11693/48401 | |
dc.description.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 | en_US |
dc.language.iso | English | en_US |
dc.source.title | RAIRO - Operations Research | en_US |
dc.relation.isversionof | https://doi.org/10.1051/ro/2017046 | en_US |
dc.subject | Disaster management | en_US |
dc.subject | Evacuation traffic management | en_US |
dc.subject | Shelter location | en_US |
dc.subject | Constrained system optimal | en_US |
dc.subject | Two-stage stochastic programming | en_US |
dc.subject | Second order cone programming | en_US |
dc.title | A stochastic programming approach for Shelter location and evacuation planning | en_US |
dc.type | Article | en_US |
dc.department | Department of Industrial Engineering | en_US |
dc.citation.spage | 779 | en_US |
dc.citation.epage | 805 | en_US |
dc.citation.volumeNumber | 53 | en_US |
dc.citation.issueNumber | 3 | en_US |
dc.identifier.doi | 10.1051/ro/2017046 | en_US |
dc.publisher | EDP Sciences | en_US |
dc.contributor.bilkentauthor | Yaman, Hande | |
dc.identifier.eissn | 1290-3868 | |