Geodesic
A stochastic programming approach for Shelter location and evacuation planning
RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 3, pp. 779-805

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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.

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DOI : 10.1051/ro/2017046
Classification : 90C11, 90C15, 90B06
Keywords: Disaster management, evacuation traffic management, shelter location, constrained system optimal, two-stage stochastic programming, second order cone programming 
Bayram, Vedat; Yaman, Hande. A stochastic programming approach for Shelter location and evacuation planning. RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 3, pp. 779-805. doi: 10.1051/ro/2017046
@article{RO_2018__52_3_779_0,
     author = {Bayram, Vedat and Yaman, Hande},
     title = {A stochastic programming approach for {Shelter} location and evacuation planning},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {779--805},
     year = {2018},
     publisher = {EDP-Sciences},
     volume = {52},
     number = {3},
     doi = {10.1051/ro/2017046},
     zbl = {1405.90083},
     mrnumber = {3868445},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/ro/2017046/}
}
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TI  - A stochastic programming approach for Shelter location and evacuation planning
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%T A stochastic programming approach for Shelter location and evacuation planning
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