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dc.contributor.authorWong, Jinn-Tsaien_US
dc.contributor.authorChung, Yi-Shihen_US
dc.date.accessioned2014-12-08T15:20:11Z-
dc.date.available2014-12-08T15:20:11Z-
dc.date.issued2007-05-01en_US
dc.identifier.issn0001-4575en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.aap.2006.10.009en_US
dc.identifier.urihttp://hdl.handle.net/11536/14328-
dc.description.abstractThis paper presents a novel non-parametric methodology - rough set theory - for accident occurrence exploration. The rough set theory allows researchers to analyze accidents in multiple dimensions and to model accident occurrence as factor chains. Factor chains are composed of driver characteristics, trip characteristics, driver behavior and environment factors that imply typical accident occurrence. A real-world database (2003 Taiwan single auto-vehicle accidents) is used as an example to demonstrate the proposed approach. The results show that although most accident patterns are unique, some accident patterns are significant and worth noting. Student drivers who are young and less experienced exhibit a relatively high possibility of being involved in off-road accidents on roads with a speed limit between 51 and 79 km/h under normal driving circumstances. Notably, for bump-into-facility accidents, wet surface is a distinctive environmental factor. (C) 2006 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectrough set theoryen_US
dc.subjectaccident characteristicsen_US
dc.subjectaccident chainen_US
dc.titleRough set approach for accident chains explorationen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.aap.2006.10.009en_US
dc.identifier.journalACCIDENT ANALYSIS AND PREVENTIONen_US
dc.citation.volume39en_US
dc.citation.issue3en_US
dc.citation.spage629en_US
dc.citation.epage637en_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.identifier.wosnumberWOS:000246867600025-
dc.citation.woscount18-
Appears in Collections:Articles


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