Analysis of factors influencing the severity of crashes between new-energy vehicles and pedestrians based on theoretical and data-driven models

By employing optimized data-driven models, theoretical models, and an improved SHAP method, a combined predictive model was constructed to predict and analyze the severity of NEV-pedestrian crashes. The findings of this study provide a foundation for formulating NEV collision safety strategies to reduce the severity of future collisions.

Authors

X. Dong (ORCID: https://orcid.org/0009-0009-5952-6924)
Wenjun Liao
Daowen Zhang
Jixiang Yang (ORCID: https://orcid.org/0000-0002-9631-2046)
Chengyi Zhao

Institutions

Xihua University (CN)
State Key Laboratory of Vehicle NVH and Safety Technology (CN)
Southwest Jiaotong University (CN)
Xi'an Jiaotong University (CN)

Publication Details

Journal: Traffic Injury Prevention
Published: 2025-11-20
DOI: https://doi.org/10.1080/15389588.2025.2582635
Primary Topic: Automotive and Human Injury Biomechanics
Type: article
Field-Weighted Citation Impact: 0.00

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article

Analysis of factors influencing the severity of crashes between new-energy vehicles and pedestrians based on theoretical and data-driven models

X. Dong, Wenjun Liao, Daowen Zhang, Jixiang Yang et al.

Nov 20, 2025

Traffic Injury Prevention

Automotive and Human Injury Biomechanics

article

Analysis of factors influencing the severity of crashes between new-energy vehicles and pedestrians based on theoretical and data-driven models

X. Dong, Wenjun Liao, Daowen Zhang, Jixiang Yang, Chengyi Zhao

November 20, 2025article en

Abstract

By employing optimized data-driven models, theoretical models, and an improved SHAP method, a combined predictive model was constructed to predict and analyze the severity of NEV-pedestrian crashes. The findings of this study provide a foundation for formulating NEV collision safety strategies to reduce the severity of future collisions.

Traffic Injury Prevention

Xihua University (CN), State Key Laboratory of Vehicle NVH and Safety Technology (CN), Southwest Jiaotong University (CN), Xi'an Jiaotong University (CN)

Openalex Percentile: Top 49%

Automotive and Human Injury Biomechanics

DOI Source OpenAlex

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Analysis of factors influencing the severity of crashes between new-energy vehicles and pedestrians based on theoretical and data-driven models — X. Dong, Wenjun Liao, et al. · Traffic Injury Prevention (2025) | TGRS Research Map | TGRS