Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1124
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dc.contributor.authorOr, İlhan-
dc.contributor.authorÖzlem, Şirin-
dc.contributor.authorAltan, Yiğit Can-
dc.contributor.authorOtay, Emre N.-
dc.date.accessioned2019-07-16T11:53:54Z-
dc.date.available2019-07-16T11:53:54Z-
dc.date.issued2019-
dc.identifier.citationÖzlem, S., Altan, Y. C., Otay, E. N., & Or, I. (2019). Grounding Probability in Narrow Waterways. Journal of Navigation, 1-15.en_US
dc.identifier.issn1469-7785-
dc.identifier.issn0373-4633-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1124-
dc.identifier.urihttps://doi.org/10.1017/S0373463319000572-
dc.description.abstractThe Strait of Istanbul is one of the world's busiest, narrowest and most winding waterways. As such, there is a high grounding probability for vessels. Although a number of grounding probability models exist, they have been deemed unsuitable by local maritime experts, due to their insufficient stopping distance criteria for narrow waterways. Thus, there is a need for a new model. This paper proposes a two-component grounding probability model that multiplies the geometric grounding probability (calculated with a kinematic-based model) with the causation probability (calculated with a specially designed Bayesian network). The geometric probability model is improved in terms of stopping distance parameters and the Bayesian network is crafted for narrow waterways. The model is then deployed with pre-determined parameters within the Strait of Istanbul to run risk analysis scenarios. The results, validated with actual grounding records, show that the causation probability is the key component for quantifying the probability of grounding in narrow waterways. If navigated without frequent evasive manoeuvres, grounding would be almost inevitable. Although this study focuses on the Strait of Istanbul, the proposed approach can be applied to research into grounding probability of vessels navigating through other waterways.en_US
dc.language.isoenen_US
dc.publisherCambridge University Pressen_US
dc.relation.ispartofJournal of Navigationen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectHuman factoren_US
dc.subjectRisken_US
dc.subjectModellingen_US
dc.subjectStraitsen_US
dc.titleGrounding Probability in Narrow Waterwaysen_US
dc.typeArticleen_US
dc.identifier.doi10.1017/S0373463319000572-
dc.identifier.scopus2-s2.0-85068372962en_US
dc.authoridŞirin Özlem / 0000-0001-7248-1825-
dc.description.woscitationindexScience Citation Index Expanded-
dc.identifier.wosqualityQ2-
dc.description.WoSDocumentTypeArticle
dc.description.WoSInternationalCollaborationUluslararası işbirliği ile yapılmayan - HAYIRen_US
dc.description.WoSPublishedMonthMarten_US
dc.description.WoSIndexDate2020en_US
dc.description.WoSYOKperiodYÖK - 2019-20en_US
dc.identifier.scopusqualityQ1-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.endpage15en_US
dc.identifier.startpage1en_US
dc.departmentMühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000524935700002en_US
dc.institutionauthorÖzlem, Şirin-
item.grantfulltextembargo_20290211-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.01. Department of Industrial Engineering-
Appears in Collections:Endüstri Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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