Volume 40 Issue 2
Apr.  2022
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Article Navigation >  Journal of Transport Information and Safety  > 2022  >  40(2): 45-52
WEI Wen, DU Yumeng, DONG Aoran, QIN Dan, ZHU Tong. An Analysis of Factors Affecting Injury of Electric Two-wheeler Riders Based on CIDAS Data and Ensemble Learning[J]. Journal of Transport Information and Safety, 2022, 40(2): 45-52. doi: 10.3963/j.jssn.1674-4861.2022.02.006
Citation: WEI Wen, DU Yumeng, DONG Aoran, QIN Dan, ZHU Tong. An Analysis of Factors Affecting Injury of Electric Two-wheeler Riders Based on CIDAS Data and Ensemble Learning[J]. Journal of Transport Information and Safety, 2022, 40(2): 45-52. doi: 10.3963/j.jssn.1674-4861.2022.02.006
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An Analysis of Factors Affecting Injury of Electric Two-wheeler Riders Based on CIDAS Data and Ensemble Learning

doi: 10.3963/j.jssn.1674-4861.2022.02.006

  • College of Transportation Engineering, Chang'an University, Xi'an 710064, China

  • Received Date: 2021-12-20
    Available Online: 2022-05-18
    Abstract
  • A growing use of electric two-wheelers leads to an increasing number of serious accidents. In order to study the factors affecting injury severity of electric two-wheeler riders within the collisions involving electric two-wheelers, three integrated learning models, i.e. random forest, XGBoost, and LightGBM, are developed and compared based on 1 246 electric two-wheelers and motor vehicle accidents collected from the China Depth of Accident Investigation(CIDAS)dataset. According to the accuracy and other indicators, the LightGBM model is chosen for its best performance to predict the severity of injury suffered by electric vehicle riders. With SHAP-method analysis, a nonlinear relationship between independent variables and dependent variables is observed. There is an evident threshold for the impacts of the throwing distance of the electric two-wheeler riders on the risk of death. Electric two-wheeler riders are not susceptible to death accidents when the throwing distance is less than 5 meters. When the throwing distance exceeds 5 meters, there is a positively correlation between throwing distance and risk of death. Accidents occur in outside urban areas or on highways and collisions with heavy vehicles significantly increase the risk of death to riders involved in accidents. Factors like no pedal, seat height greater than 70 cm, handlebar width of 61~65 cm, and handlebar design of backward bending or horn shape can reduce the risk of death. Being female, age 30~50, and familiar with the location are associated with a lower risk of death.

     

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