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      A stochastic programming approach for Shelter location and evacuation planning

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      Author(s)
      Bayram, V.
      Yaman, Hande
      Date
      2018
      Source 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
      Article
      Item 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 management
      Evacuation traffic management
      Shelter location
      Constrained system optimal
      Two-stage stochastic programming
      Second order cone programming
      Permalink
      http://hdl.handle.net/11693/48401
      Published Version (Please cite this version)
      https://doi.org/10.1051/ro/2017046
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      • Department of Industrial Engineering 733
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