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dc.contributor.authorChiou, Yu-Chiunen_US
dc.contributor.authorLan, Lawrence W.en_US
dc.contributor.authorChen, Wen-Pinen_US
dc.date.accessioned2014-12-08T15:29:41Z-
dc.date.available2014-12-08T15:29:41Z-
dc.date.issued2013-01-01en_US
dc.identifier.issn0001-4575en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.aap.2012.05.017en_US
dc.identifier.urihttp://hdl.handle.net/11536/21318-
dc.description.abstractThis paper proposes a two-stage mining framework to explore the key risk conditions that may have contributed to the one-vehicle crash severity in Taiwan's freeways. In the first stage, a genetic mining rule (GMR) model is developed, using a novel stepwise rule-mining algorithm, to identify the potential risk conditions that best elucidate the one-vehicle crash severity. In the second stage, a mixed logit model is estimated, using the antecedent part of the mined-rules as explanatory variables, to test the significance of the risk conditions. A total of 5563 one-vehicle crash cases (226 fatalities, 1593 injuries and 3744 property losses) occurred in Taiwan's freeways over 2003-2007 are analyzed. The GMR model has mined 29 rules for use. By incorporating these 29 mined-rules into a mixed logit model, we further identify one key safe condition and four key risk conditions leading to serious crashes (i.e., fatalities and injuries). Each key risk condition is discussed and compared with its adjacent rules. Based on the findings, some countermeasures to rectify the freeway's serious one-vehicle crashes are proposed. (C) 2012 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectCrash severityen_US
dc.subjectGenetic mining ruleen_US
dc.subjectOne-vehicle crashesen_US
dc.subjectMixed logit modelen_US
dc.subjectStepwise rule-mining algorithmen_US
dc.titleA two-stage mining framework to explore key risk conditions on one-vehicle crash severityen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.aap.2012.05.017en_US
dc.identifier.journalACCIDENT ANALYSIS AND PREVENTIONen_US
dc.citation.volume50en_US
dc.citation.issueen_US
dc.citation.spage405en_US
dc.citation.epage415en_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:000314191600046-
dc.citation.woscount1-
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