Investigating factors affecting injury severity of single-vehicle run-off-road crashes.

Contributing factors Injury severity Mixed logit model Run-off-road crash Vehicle classes

Journal

Accident; analysis and prevention
ISSN: 1879-2057
Titre abrégé: Accid Anal Prev
Pays: England
ID NLM: 1254476

Informations de publication

Date de publication:
17 Sep 2024
Historique:
received: 05 06 2024
revised: 02 09 2024
accepted: 08 09 2024
medline: 19 9 2024
pubmed: 19 9 2024
entrez: 18 9 2024
Statut: aheadofprint

Résumé

This study aimed to identify and investigate the contributing factors influencing injury severity in single-vehicle run-off-road (ROR) crashes, which are known for their high severity. The primary objective was to analyze and compare the impact of these factors across three distinct vehicle classes: passenger cars, sport utility vehicles (SUVs), and pickups. A mixed logit model with heterogeneity in mean and variance was developed to analyze the injury severity outcomes in ROR crashes for the three vehicle classes. The model accounted for the potential variations in the impact of contributing factors across different vehicle types. The study revealed several significant variables consistently influencing injury severity across all three vehicle classes. These included driver age, alcohol or drug usage, seatbelt utilization, airbag deployment, higher travel speeds, and the vehicle model year post-2010. Notably, as driver age increased, the impact on changes in injury severity outcomes was more pronounced for pickup drivers compared to those operating passenger cars and SUVs. Among the common findings was the highly effective role of seatbelt usage in mitigating injury severity in ROR crashes. Additionally, passenger cars were associated with increased injury severity, particularly at relatively higher travel speeds exceeding 75 mph when contrasted with SUVs and pickups traveling between 61 and 75 mph. The study highlights the importance of considering vehicle class-specific factors in analyzing injury severity in ROR crashes. Recommendations include further in-depth investigations into distinct factors contributing to injury severity within each vehicle class and utilizing more extensive crash datasets to gain additional insights for enhancing road safety.

Identifiants

pubmed: 39293190
pii: S0001-4575(24)00331-2
doi: 10.1016/j.aap.2024.107786
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107786

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ihsan Ullah Khan (IU)

Upper Great Plains Transportation Institute, North Dakota State University, Fargo, ND, United States. Electronic address: ihsan.khan@ndsu.edu.

Diomo Motuba (D)

Department of Transportation, Logistics and Finance, North Dakota State University, Fargo, ND, United States. Electronic address: diomo.motuba@ndsu.edu.

Kimberly Vachal (K)

Upper Great Plains Transportation Institute, North Dakota State University, Fargo, ND, United States. Electronic address: kimberly.vachal@ndsu.edu.

Classifications MeSH