Exploring the role of delta-V in influencing occupant injury severities – A mediation analysis approach to motor vehicle collisions. (July 2020)
- Record Type:
- Journal Article
- Title:
- Exploring the role of delta-V in influencing occupant injury severities – A mediation analysis approach to motor vehicle collisions. (July 2020)
- Main Title:
- Exploring the role of delta-V in influencing occupant injury severities – A mediation analysis approach to motor vehicle collisions
- Authors:
- Shannon, Darren
Murphy, Finbarr
Mullins, Martin
Rizzi, Luis - Abstract:
- Highlights: We examine the effect of motor vehicle collision (MVC) factors on the severity of injuries. Two approaches are considered: Log-linear Regression and Bayesian Probit Regression. delta-V plays a primary role in determining the number of injuries, and the probability of suffering an MAIS3+ injury. Some crash factors influence injury severity regardless of relative crash velocity (delta-V). Mediation approach unveils influential links that would have otherwise gone unnoticed. 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 aHighlights: We examine the effect of motor vehicle collision (MVC) factors on the severity of injuries. Two approaches are considered: Log-linear Regression and Bayesian Probit Regression. delta-V plays a primary role in determining the number of injuries, and the probability of suffering an MAIS3+ injury. Some crash factors influence injury severity regardless of relative crash velocity (delta-V). Mediation approach unveils influential links that would have otherwise gone unnoticed. 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. … (more)
- Is Part Of:
- Accident analysis and prevention. Volume 142(2020)
- Journal:
- Accident analysis and prevention
- Issue:
- Volume 142(2020)
- Issue Display:
- Volume 142, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 142
- Issue:
- 2020
- Issue Sort Value:
- 2020-0142-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07
- Subjects:
- delta-V -- Motor vehicle collisions -- Injury severity -- Mediation analysis -- Log-linear regression -- Bayesian probit regression
Accidents -- Prevention -- Periodicals
Accident Prevention -- Periodicals
Accidents -- Prévention -- Périodiques
363.106 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00014575 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aap.2020.105577 ↗
- Languages:
- English
- ISSNs:
- 0001-4575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0573.130000
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