Analysis of injury severity of single-vehicle and two-vehicle crashes involving lightweight vehicles (K-car) in Japan: A random parameters approach with heterogeneity in means

Safety analysis for lightweight vehicles must be disaggregated by crash type while accounting for unobserved heterogeneity. The study reveals complex factors, such as the dichotomous risk profile of older drivers, which demand targeted policy interventions. These research findings provide an evidence-based framework for developing effective countermeasures, including enhanced driver assistance systems and improved roadway designs, to comprehensively improve the safety of lightweight vehicles.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-11-12
DOI
https://doi.org/10.1080/15389588.2025.2571048
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
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article

Analysis of injury severity of single-vehicle and two-vehicle crashes involving lightweight vehicles (K-car) in Japan: A random parameters approach with heterogeneity in means

Junghwa Kim, Suyi Mao, Jaeyoung Lee, Lin Wang et al.
Traffic Injury Prevention
Traffic and Road Safety
article

Analysis of injury severity of single-vehicle and two-vehicle crashes involving lightweight vehicles (K-car) in Japan: A random parameters approach with heterogeneity in means

Junghwa Kim, Suyi Mao, Jaeyoung Lee, Lin Wang, Junjie Hu, Yefan Yang
article en

Abstract

Safety analysis for lightweight vehicles must be disaggregated by crash type while accounting for unobserved heterogeneity. The study reveals complex factors, such as the dichotomous risk profile of older drivers, which demand targeted policy interventions. These research findings provide an evidence-based framework for developing effective countermeasures, including enhanced driver assistance systems and improved roadway designs, to comprehensively improve the safety of lightweight vehicles.

Traffic Injury Prevention
University of Central Florida (US), Central South University (CN), Queensland University of Technology (AU), Politecnico di Torino (IT), Kyonggi University (KR), University Transportation Research Center (US)
Openalex Percentile: Top 59%
Traffic and Road Safety
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