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Comparisons of Seafarers' Perception of Maritime and Onshore Traffic Conditions

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dc.contributor.author박득진-
dc.contributor.author김홍태-
dc.contributor.author양형선-
dc.contributor.author임정빈-
dc.date.accessioned2021-08-03T04:28:06Z-
dc.date.available2021-08-03T04:28:06Z-
dc.date.issued2019-
dc.identifier.issn1229-3431-
dc.identifier.issn2287-3341-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/426-
dc.description.abstractThe purpose of this paper is to compare seafarers’ behavior according to traffic conditions of a road and an onshore locations. Behaviors are classified into three categories: Skill-, Rule- and knowledge-based mode. Experimental data were collected using the questionnaires for navigators, working in a merchant ship. To compare the behaviors, we used the four analysis method; the degree of frequency, reliability test, correlation and linear regression. As a result of the study, it was found that Skill-based behavior shows more higher in the road traffic than the maritime traffic, and rule-based behavior shows more higher in the maritime traffic than the road traffic. Also, the behavior in the navigation situation showed statistical significance. Especially, in the case of Rule-based behavior, a high correlation between road and maritime was found. This study can be expected to apply to complementary system utilization between error management system of onshore and maritime traffic.-
dc.format.extent8-
dc.language영어-
dc.language.isoENG-
dc.publisher해양환경안전학회-
dc.titleComparisons of Seafarers' Perception of Maritime and Onshore Traffic Conditions-
dc.title.alternativeComparisons of Seafarers' Perception of Maritime and Onshore Traffic Conditions-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.7837/kosomes.2019.25.3.320-
dc.identifier.bibliographicCitation해양환경안전학회지, v.25, no.3, pp 320 - 327-
dc.citation.title해양환경안전학회지-
dc.citation.volume25-
dc.citation.number3-
dc.citation.startPage320-
dc.citation.endPage327-
dc.identifier.kciidART002471896-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorHuman error-
dc.subject.keywordAuthorHuman behavior-
dc.subject.keywordAuthorNavigator-
dc.subject.keywordAuthorCorrelation analysis-
dc.subject.keywordAuthorLinear regression-
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