Publication:
A stochastic model of vessel casualties resulting from oil tanker traffic through narrow waterways

dc.contributor.coauthorOtay, Emre
dc.contributor.departmentDepartment of Business Administration
dc.contributor.kuauthorTan, Barış
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Business Administration
dc.contributor.schoolcollegeinstituteCollege of Administrative Sciences and Economics
dc.contributor.yokid28600
dc.date.accessioned2024-11-09T23:26:47Z
dc.date.issued1998
dc.description.abstractIn this paper, we present our preliminary results of a stochastic model to investigate vessel casualties resulting from tanker traffic through a waterway. A state-space model of the waterway is developed by dividing it into a number of grids. The model incorporates the effects of physical forcing mechanisms, i.e., currents and waves, winds, visibility, geometry of the waterway and the routes of individual vessels in the drift probabilities of the vessels. Then these probabilities are used as state-transition probabilities of a Markov chain. The transient analysis of the resulting time-varying Markov chain yields risk charts that show the casualty probabilities across the geometry of the waterway at a given time. Furthermore the steady-state analysis allows us to analyze the relationship between the vessel traffic intensity and a global measure of casualty risk.
dc.description.indexedbyWoS
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.identifier.doiN/A
dc.identifier.isbn1-56555-148-6
dc.identifier.urihttps://hdl.handle.net/20.500.14288/11599
dc.identifier.wos88436400149
dc.keywordsMarine
dc.keywordsTransportation
dc.keywordsPerformance analysis
dc.keywordsMarkov-chain
dc.keywordsStochastic
dc.languageEnglish
dc.publisherSoc Computer Simulation
dc.sourceSimulation: Past, Present and Future
dc.subjectComputer science
dc.subjectSoftware engineering
dc.titleA stochastic model of vessel casualties resulting from oil tanker traffic through narrow waterways
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0002-2584-1020
local.contributor.kuauthorTan, Barış
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relation.isOrgUnitOfPublication.latestForDiscoveryca286af4-45fd-463c-a264-5b47d5caf520

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