Exploring the injury severity of unlicensed powered two- and three-wheeler drivers in two-vehicle crashes in China

Large presence of unlicensed powered two- and three-wheeler (PTW) drivers in China pose a significant threat to road safety. In this study, a customized Deep Forest Model (DF-ptw) is constructed to investigate the effect of unlicensed PTW drivers on crash severity in two-vehicle crashes, using a recent 3-year historical crash data. SHapley Additive explanation (SHAP) and Partial Dependence Plot (PDP) analysis reveal that unlicensed motorcyclists are significantly more likely to suffer serious injuries in two-vehicle crashes compared to unlicensed auto-rickshaw drivers. Additionally, factors such as drunk driving, fatigued driving, and being an unlicensed driver over the age of 53 notably elevate the risk of serious injury or death, with unlicensed motorcyclists being disproportionately affected. Moreover, self-employed unlicensed PTW drivers face a higher probability of serious injury or fatality in crashes compared to farmers, blue-collar, and white-collar workers. Unlicensed PTW drivers are also more susceptible to severe or fatal injuries on national and provincial roads, in low visibility conditions, during late-night hours, on non-separated roads, and at dusk or dawn. Based on these findings, this study proposes to reduce the frequency and severity of crashes involving unlicensed PTW drivers by focusing on more stringent eligibility checks, increasing safety awareness, and implementing advanced safety measures.

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Publication Details

Journal
Scientific Reports
Published
2025-04-06
DOI
https://doi.org/10.1038/s41598-025-88896-3
Citations
2
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
2.61

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article

Exploring the injury severity of unlicensed powered two- and three-wheeler drivers in two-vehicle crashes in China

Lizu Sun, Dong Guo, Yongqing Guo, Chuan Liu et al.
2 citations
Scientific Reports
Traffic and Road Safety
2.61
article

Exploring the injury severity of unlicensed powered two- and three-wheeler drivers in two-vehicle crashes in China

Lizu Sun, Dong Guo, Yongqing Guo, Chuan Liu, Peixiang Xu, Bin Zhou, Fulu Wei
article en
2 citations

Abstract

Large presence of unlicensed powered two- and three-wheeler (PTW) drivers in China pose a significant threat to road safety. In this study, a customized Deep Forest Model (DF-ptw) is constructed to investigate the effect of unlicensed PTW drivers on crash severity in two-vehicle crashes, using a recent 3-year historical crash data. SHapley Additive explanation (SHAP) and Partial Dependence Plot (PDP) analysis reveal that unlicensed motorcyclists are significantly more likely to suffer serious injuries in two-vehicle crashes compared to unlicensed auto-rickshaw drivers. Additionally, factors such as drunk driving, fatigued driving, and being an unlicensed driver over the age of 53 notably elevate the risk of serious injury or death, with unlicensed motorcyclists being disproportionately affected. Moreover, self-employed unlicensed PTW drivers face a higher probability of serious injury or fatality in crashes compared to farmers, blue-collar, and white-collar workers. Unlicensed PTW drivers are also more susceptible to severe or fatal injuries on national and provincial roads, in low visibility conditions, during late-night hours, on non-separated roads, and at dusk or dawn. Based on these findings, this study proposes to reduce the frequency and severity of crashes involving unlicensed PTW drivers by focusing on more stringent eligibility checks, increasing safety awareness, and implementing advanced safety measures.

Scientific ReportsVol. 15(1)
Shandong University of Technology (CN), Beijing Transportation Research Center (CN)
Natural Science Foundation of Shandong Province, Shandong University of Technology, Shandong University of Technology and Zibo City Integration Development Project, Zibo City Integration Development Project
Openalex Percentile: Top 13%
Traffic and Road Safety
2.61
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