A Stochastic Programming Approach for Shelter Location and Evacuation Planning
| Autor: | Hande Yaman, Vedat Bayram |
|---|---|
| Přispěvatelé: | Yaman, Hande |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Traffic allocation
Technology Operations research Computer science 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research shelter location Theoretical Computer Science FACILITY LOCATION DESIGN 0502 economics and business second order cone programming ROUTING PROBLEM NETWORK ALGORITHM constrained system optimal evacuation traffic management FORMULATION Simulation 050210 logistics & transportation 021103 operations research Science & Technology Degree (graph theory) Emergency management business.industry Operations Research & Management Science 05 social sciences Evacuation plan MULTIOBJECTIVE APPROACH Disaster management EMERGENCY Stochastic programming Computer Science Applications MODEL RELIABILITY Second-order cone programming two-stage stochastic programming business |
| Zdroj: | RAIRO-Operations Research |
| DOI: | 10.1051/ro/2017046 |
| Popis: | © 2018 EDP Sciences, ROADEF, SMAI. 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. ispartof: RAIRO-OPERATIONS RESEARCH vol:52 issue:3 pages:779-805 status: published |
| Databáze: | OpenAIRE |
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