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Marine accident investigation and analysis with focus on human factors

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dc.contributor.authorKim, H.-
dc.contributor.authorNa, S.-
dc.contributor.authorKim, H.-
dc.contributor.authorHa, W.-
dc.date.accessioned2023-12-22T09:01:31Z-
dc.date.available2023-12-22T09:01:31Z-
dc.date.issued2010-
dc.identifier.issn1071-1813-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8906-
dc.description.abstractThis paper proposes a human factors analysis method that contains a cognitive process model, a human factors analysis technique and a marine accident causal chain focused on human factors. In this paper, the cognitive process model that can be used as a tool to identify unsafe acts, decisions or conditions is discussed in detail, and 18 towing vessel collision accidents are analyzed to identify related unsafe acts. Then the human factors analysis technique which is based on the well-established human factors frameworks such as SHELL model and Reason's Generic Error Modeling Systems (GEMS) framework is used to identify underlying factors that cause those identified unsafe acts to occur. Lastly, in order to derive the optimum safety barriers, the marine accident causal chains are used. Copyright 2010 by Human Factors and Ergonomics Society, Inc. All rights reserved.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.titleMarine accident investigation and analysis with focus on human factors-
dc.typeArticle-
dc.identifier.doi10.1518/107118110X12829370088048-
dc.identifier.scopusid2-s2.0-79952956133-
dc.identifier.bibliographicCitationProceedings of the Human Factors and Ergonomics Society, v.2, pp 1440 - 1444-
dc.citation.titleProceedings of the Human Factors and Ergonomics Society-
dc.citation.volume2-
dc.citation.startPage1440-
dc.citation.endPage1444-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCausal chains-
dc.subject.keywordPlusCognitive process models-
dc.subject.keywordPlusError modeling-
dc.subject.keywordPlusHuman factors-
dc.subject.keywordPlusMarine accidents-
dc.subject.keywordPlusSafety barriers-
dc.subject.keywordPlusShell models-
dc.subject.keywordPlusUnderlying factors-
dc.subject.keywordPlusAccidents-
dc.subject.keywordPlusCognitive systems-
dc.subject.keywordPlusErgonomics-
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