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dc.contributor.authorBattarra, M.
dc.contributor.authorKoyuncu, Burcu Balçık
dc.contributor.authorXu, H.
dc.date.accessioned2018-08-27T08:21:14Z
dc.date.available2018-08-27T08:21:14Z
dc.date.issued2018-09-01
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://hdl.handle.net/10679/5926
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0377221718301292
dc.description.abstractAnalyzing the uncertainties associated with disaster occurrences is critical to make effective disaster preparedness plans. In this study, we focus on pre-positioning emergency supplies for earthquake preparedness. We present a new method to compute earthquake likelihood and the number of the affected people. Our approach utilizes forecasting methods from the earthquake engineering literature, and avoids using probabilistic scenarios to represent the uncertainties related to earthquake occurrences. We validate the proposed technique by using historical earthquake data from Turkey, a country under significant earthquake risk. We also present a case study that illustrates the implementation of our method to solve the inventory allocation problem of the Turkish Red Crescenten_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofEuropean Journal of Operational Research
dc.rightsrestrictedAccess
dc.titleDisaster preparedness using risk-assessment methods from earthquake engineeringen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-3575-1846 & YÖK ID 24250) Balçık, Burcu
dc.contributor.ozuauthorKoyuncu, Burcu Balçık
dc.identifier.volume269en_US
dc.identifier.issue2en_US
dc.identifier.startpage423en_US
dc.identifier.endpage435en_US
dc.identifier.wosWOS:000432502600003
dc.identifier.doi10.1016/j.ejor.2018.02.014en_US
dc.subject.keywordsOR in disaster reliefen_US
dc.subject.keywordsDisaster preparednessen_US
dc.subject.keywordsEarthquake forecastingen_US
dc.subject.keywordsInventory allocationen_US
dc.subject.keywordsHumanitarian reliefen_US
dc.subject.keywordsBayesian-analysisen_US
dc.subject.keywordsSeismic hazarden_US
dc.subject.keywordsEmergency suppliesen_US
dc.subject.keywordsFault zoneen_US
dc.subject.keywordsManagementen_US
dc.subject.keywordsLogisticsen_US
dc.subject.keywordsTurkeyen_US
dc.subject.keywordsOccurrencesen_US
dc.subject.keywordsModelsen_US
dc.identifier.scopusSCOPUS:2-s2.0-85043491838
dc.contributor.authorFemale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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