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dc.contributor.authorChacko, Joseyen
dc.contributor.authorRees, Loren P.en
dc.contributor.authorZobel, Christopher W.en
dc.contributor.authorRakes, Terry R.en
dc.contributor.authorRussell, Roberta S.en
dc.contributor.authorRagsdale, Cliff T.en
dc.date.accessioned2017-03-14T20:26:42Zen
dc.date.available2017-03-14T20:26:42Zen
dc.date.issued2016-07-01en
dc.identifier.issn0167-9236en
dc.identifier.urihttp://hdl.handle.net/10919/76651en
dc.description.abstractThis paper discusses a new mathematical model for community-driven disaster planning that is intended to help decision makers exploit the synergies resulting from simultaneously considering actions focusing on mitigation and efforts geared toward long-term recovery. The model is keyed on enabling long-term community resilience in the face of potential disasters of varying types, frequencies, and severities, and the approach’s highly iterative nature is facilitated by the model’s implementation in the context of a Decision Support System. Three examples from Mombasa, Kenya, East Africa, are discussed and compared in order to demonstrate the advantages of the new mathematical model over the current ad hoc mitigation and long-term recovery planning approaches that are typically used.en
dc.format.extent13 - 25 (13) page(s)en
dc.languageEnglishen
dc.publisherElsevier Science Bven
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000379097400002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectTechnologyen
dc.subjectComputer Science, Artificial Intelligenceen
dc.subjectComputer Science, Information Systemsen
dc.subjectOperations Research & Management Scienceen
dc.subjectComputer Scienceen
dc.subjectDecision supporten
dc.subjectResilienceen
dc.subjectSustainabilityen
dc.subjectMathematical programmingen
dc.subjectDisaster planningen
dc.subjectMulti-hazarden
dc.subjectTERRORISM APPLICATIONSen
dc.subjectHAZARDSen
dc.subjectRISKen
dc.subjectRESILIENCEen
dc.subjectMANAGEMENTen
dc.subjectFRAMEWORKen
dc.subjectMODELSen
dc.subjectSECURITYen
dc.subjectEQUITYen
dc.subjectASSETen
dc.titleDecision support for long-range, community-based planning to mitigate against and recover from potential multiple disastersen
dc.typeArticle - Refereeden
dc.description.versionPublished (Publication status)en
dc.title.serialDECISION SUPPORT SYSTEMSen
dc.identifier.doihttps://doi.org/10.1016/j.dss.2016.04.005en
dc.identifier.volume87en
dc.identifier.orcidZobel, CW [0000-0002-0952-7322]en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Pamplin College of Businessen
pubs.organisational-group/Virginia Tech/Pamplin College of Business/Business Information Technologyen
pubs.organisational-group/Virginia Tech/Pamplin College of Business/PCOB T&R Facultyen


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