Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2970
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dc.contributor.authorYücel, Eda-
dc.contributor.authorSalman, F. Sibel-
dc.contributor.authorArşık, İdil-
dc.date.accessioned2019-12-26T14:47:02Z
dc.date.available2019-12-26T14:47:02Z
dc.date.issued2018-09-01
dc.identifier.citationYücel, E., Salman, F. S., & Arsik, I. (2018). Improving post-disaster road network accessibility by strengthening links against failures. European Journal of Operational Research, 269(2), 406-422.en_US
dc.identifier.issn0377-2217
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0377221718301309?via%3Dihub-
dc.identifier.urihttps://doi.org/10.1016/j.ejor.2018.02.015-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2970-
dc.description.abstractWe study a network improvement problem to increase the resilience of a transportation network against disasters. This involves optimizing pre-disaster investment decisions to strengthen the links of the network structurally. The goal is to improve the expected post-disaster accessibility. We first propose a new dependency model for random link failures to predict the post-disaster status of the network. We show that the probability of any network realization can be computed using a Bayesian network representation of the dependency model. As the computational effort grows with the network size, we use our proposed dependency model in a network sampling algorithm. We then estimate an accessibility measure, namely, the expected weighted average distance between supply and demand points by checking pregenerated short and dissimilar paths in the sample. We minimize this measure and decide on the links that should be strengthened in a two-stage stochastic programming framework. As the failure probability of a strengthened link decreases, the discrete scenario probabilities depend on the first-stage decisions. To tackle this challenge, we develop an efficient tabu search algorithm. We apply our methods to a case study of Istanbul under the risk of an earthquake, both to illustrate the use of the methods and to derive insights for decision makers. (C) 2018 Elsevier B.V. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofEuropean Journal of Operational Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHumanitarian logisticsen_US
dc.subjectdisaster risk mitigationen_US
dc.subjectnetwork accessibilityen_US
dc.subjectcorrelated link failuresen_US
dc.subjectlink strengtheningen_US
dc.subjecttransportation network improvementen_US
dc.titleImproving Post-Disaster Road Network Accessibility by Strengthening Links Against Failuresen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume269
dc.identifier.issue2
dc.identifier.startpage406
dc.identifier.endpage422
dc.relation.tubitakinfo:eu-repo/grantAgreement/TÜBİTAK/MAG/111M537
dc.authorid0000-0002-3448-1522-
dc.identifier.wosWOS:000432502600002en_US
dc.identifier.scopus2-s2.0-85042484787en_US
dc.institutionauthorYücel, Eda-
dc.identifier.doi10.1016/j.ejor.2018.02.015-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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