Evacuation Shelter Scheduling Problem

dc.contributor.author Shimizu, Hitoshi
dc.contributor.author Suwa, Hirohiko
dc.contributor.author Iwata, Tomoharu
dc.contributor.author Fujino, Akinori
dc.contributor.author Sawada, Hiroshi
dc.contributor.author Yasumoto, Keiichi
dc.date.accessioned 2021-12-24T18:11:48Z
dc.date.available 2021-12-24T18:11:48Z
dc.date.issued 2022-01-04
dc.description.abstract Evacuation shelters, which are urgently required during natural disasters, are designed to minimize the burden of evacuation on human survivors. However, the larger the scale of the disaster, the more costly it becomes to operate shelters. When the number of evacuees decreases, the operation costs can be reduced by moving the remaining evacuees to other shelters and closing shelters as quickly as possible. On the other hand, relocation between shelters imposes a huge emotional burden on evacuees. In this study, we formulate the ``Evacuation Shelter Scheduling Problem,'' which allocates evacuees to shelters in such a way to minimize the movement costs of the evacuees and the operation costs of the shelters. Since it is difficult to solve this quadratic programming problem directly, we show its transformation into a 0-1 integer programming problem. In addition, such a formulation struggles to calculate the burden of relocating them from historical data because no payments are actually made. To solve this issue, we propose a method that estimates movement costs based on the numbers of evacuees and shelters during an actual disaster. Simulation experiments with records from the Kobe earthquake (Great Hanshin-Awaji Earthquake) showed that our proposed method reduced operation costs by 33.7 million dollars: 32%.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.696
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/80035
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Location Intelligence Research in System Sciences
dc.subject disaster simulation
dc.subject evacuation shelter scheduling problem
dc.subject integer linear programming
dc.title Evacuation Shelter Scheduling Problem
dc.type.dcmi text
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