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dc.contributor.authorVeisten, Knut
dc.contributor.authorFlugel, Stefan
dc.contributor.authorRizzi, Luis
dc.contributor.authorOrtuzar, Juan De Dios
dc.contributor.authorElvik, Rune
dc.date.accessioned2021-12-06T12:16:19Z
dc.date.available2021-12-06T12:16:19Z
dc.date.created2014-01-08T10:50:38Z
dc.date.issued2013
dc.identifier.citationResearch in Transportation Economics. 2013, 43 (1), 50-61.
dc.identifier.issn0739-8859
dc.identifier.urihttps://hdl.handle.net/11250/2832952
dc.description.abstractStated choice studies have been applied regularly to the valuation of time savings and other attributes of travelling as perceived by individuals. In such experiments, respondents often provide reference levels for the attributes and the hypothetical choices presented to them are pivoted around actual behaviour. However, most individuals are not able to provide reference levels for the number of casualties on the road they travel. Thus, if valuation of this important element is attempted, it is the researcher who must provide casualty risk reference levels to the respondents. Some studies have applied route choice experiments including a safety attribute but the majority has been limited to only one particular road section with a common baseline risk for all respondents. This study discusses the setting up and results of a more generalized route choice experiment including a safety attribute. Respondents provided, at an initial stage, their travel times and costs related to a recent trip by car. Then, expected numbers of casualties for different trip lengths were calculated based on travel distances and traffic densities. So, the calculated number of severe injuries and fatalities (casualties) per year, on the road section the respondent had travelled, entered as a third attribute in the choices, together with the reported travel times and costs. Route choice was analysed using multinomial logit and mixed logit models. From the latter models we obtained point estimates for the value of the statistical life ranging from € 7.3 million to € 19.1 million.
dc.language.isoeng
dc.titleValuing casualty risk reductions from estimated baseline risk
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionacceptedVersion
dc.source.pagenumber50-61
dc.source.volume43
dc.source.journalResearch in Transportation Economics
dc.source.issue1
dc.identifier.doi10.1016/j.retrec.2012.12.009
dc.identifier.cristin1085662
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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