Evacuation Shelter Scheduling Problem

dc.contributor.authorShimizu, Hitoshi
dc.contributor.authorSuwa, Hirohiko
dc.contributor.authorIwata, Tomoharu
dc.contributor.authorFujino, Akinori
dc.contributor.authorSawada, Hiroshi
dc.contributor.authorYasumoto, Keiichi
dc.date.accessioned2021-12-24T18:11:48Z
dc.date.available2021-12-24T18:11:48Z
dc.date.issued2022-01-04
dc.description.abstractEvacuation 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.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.696
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80035
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research in System Sciences
dc.subjectdisaster simulation
dc.subjectevacuation shelter scheduling problem
dc.subjectinteger linear programming
dc.titleEvacuation Shelter Scheduling Problem
dc.type.dcmitext

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