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Exploring the role of delta-V in influencing occupant injury severities - A mediation analysis approach to motor vehicle collisions

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dc.contributor.author Shannon, Darren
dc.contributor.author Murphy, Finbarr
dc.contributor.author Mullins, Martin
dc.contributor.author Rizzi, Luis
dc.date.accessioned 2020-06-03T11:03:59Z
dc.date.issued 2020
dc.identifier.citation Shannon D.;Murphy F.;Mullins M.;Rizzi L. (2020) 'Exploring the role of delta-V in influencing occupant injury severities - A mediation analysis approach to motor vehicle collisions'. Accident Analysis And Prevention, 142 . en_US
dc.identifier.issn 0001-4575
dc.identifier.uri http://hdl.handle.net/10344/8884
dc.description peer-reviewed en_US
dc.description The full text of this article will not be available in ULIR until the embargo expires on the 12/05/2023
dc.description.abstract .This study investigates the impact that delta-V, the relative change in vehicle velocity pre- and post-crash, has on the severity of motor vehicle collisions (MVCs). We study injury severity using two metrics for each occupant – the number of injuries suffered, and the probability of suffering a serious or worse (MAIS 3+) injury. We use a cross-sectional set of generally-representative MVC data between 2010 and 2015 as a basis for our research. Collision factors that influence the crash environment are combined with the injuries that were suffered in MVCs. The influence of delta-V is captured using a mediation analysis, whereby delta-V acts as the focal point between crash factors and injury outcome. The mediation approach adds to existing research by presenting a detailed view of the relationship between injury severity, delta-V and other collision factors. We find evidence of competitive mediation, wherein a collision factor’s positive association with injury severity is offset by a negative association with delta-V. Neglecting to include delta-V in our study would have let the factor’s association with injury severity go undiscovered. In addition, certain collision factors are found to be related to injury severity solely because of delta-V, while others are found to have a significant impact regardless of delta-V. Our results support the multitude of policy recommendations that promote seatbelt use and warn against alcohol-impaired driving, and support the proliferation of safety-enabled vehicles whose technology can mitigate the bodily damage associated with detrimental crash types en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation 690772 en_US
dc.relation.ispartofseries Accident Analysis & Prevention;142, 105577
dc.relation.uri http://dx.doi.org/10.1016/j.aap.2020.105577
dc.rights This is the author’s version of a work that was accepted for publication in Accident Analysis And Prevention. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Accident Analysis And Prevention, http://dx.doi.org/10.1016/j.aap.2020.105577 en_US
dc.subject Bayesian probit regression en_US
dc.subject delta-V en_US
dc.subject Injury severity en_US
dc.subject log-linear regression en_US
dc.subject mediation analysis en_US
dc.subject motor vehicle collisions en_US
dc.title Exploring the role of delta-V in influencing occupant injury severities - A mediation analysis approach to motor vehicle collisions en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.date.updated 2020-06-03T10:46:59Z
dc.description.version ACCEPTED
dc.identifier.doi 10.1016/j.aap.2020.105577
dc.contributor.sponsor ERC en_US
dc.relation.projectid 6090772 en_US
dc.date.embargoEndDate 2023-05-12
dc.embargo.terms 2023-05-12 en_US
dc.rights.accessrights info:eu-repo/semantics/embargoedAccess en_US
dc.internal.rssid 2955863
dc.internal.copyrightchecked Yes
dc.identifier.journaltitle Accident Analysis And Prevention
dc.description.status peer-reviewed


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