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Vehicle occupant injury severity on highways: An empirical investigation

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dc.contributor.author Christoforou, Z en
dc.contributor.author Cohen, S en
dc.contributor.author Karlaftis, MG en
dc.date.accessioned 2014-03-01T01:34:50Z
dc.date.available 2014-03-01T01:34:50Z
dc.date.issued 2010 en
dc.identifier.issn 0001-4575 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20887
dc.subject Ordered probit en
dc.subject Random parameters en
dc.subject Safety en
dc.subject Severity en
dc.subject.classification Ergonomics en
dc.subject.classification Public, Environmental & Occupational Health en
dc.subject.classification Social Sciences, Interdisciplinary en
dc.subject.classification Transportation en
dc.subject.other Accident costs en
dc.subject.other Accident severity en
dc.subject.other Differential effect en
dc.subject.other Empirical investigation en
dc.subject.other External costs en
dc.subject.other Injury levels en
dc.subject.other Injury severity en
dc.subject.other On flow en
dc.subject.other Ordered probit en
dc.subject.other Ordered probit model en
dc.subject.other Positive effects en
dc.subject.other Random parameters en
dc.subject.other Road safety en
dc.subject.other Safety en
dc.subject.other Severity en
dc.subject.other Traffic characteristics en
dc.subject.other Traffic volumes en
dc.subject.other Vehicle occupants en
dc.subject.other Accidents en
dc.subject.other Cost benefit analysis en
dc.title Vehicle occupant injury severity on highways: An empirical investigation en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.aap.2010.03.019 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.aap.2010.03.019 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract Accident severity analysis is important to both researchers and practitioners because of its implications in accident cost estimation, external cost estimation and road safety. Although much research has been done to explore the factors influencing crash-injury severity, few studies have investigated the association between severity and traffic characteristics collected real-time during the time the accident occurred. We apply a random parameters ordered probit model to explore the influence of speed and traffic volume on the injury level sustained by vehicle occupants involved in accidents on the A4-A86 junction in the Paris region. Results indicate that increased traffic volume has a consistently positive effect on severity, while speed has a differential effect on severity depending on flow conditions. (c) 2010 Published by Elsevier Ltd. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Accident Analysis and Prevention en
dc.identifier.doi 10.1016/j.aap.2010.03.019 en
dc.identifier.isi ISI:000282240500012 en
dc.identifier.volume 42 en
dc.identifier.issue 6 en
dc.identifier.spage 1606 en
dc.identifier.epage 1620 en


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