To analyze influencing factors of rider injury severity in E-bike-motor vehicle collision accidents, we have analyzed 1,246 accidents in the China In-depth Accident Study (CIDAS) dataset using the Light Gradient Boosting Machine (LightGBM) model, which is used to further explore primary factors affecting the injury of riders. Experimental results show that severity of injury is highly correlated with traffic environment, characteristics of electric vehicles and riders. Meanwhile, we find that the throwing distance of riders has an obvious threshold effect on death, and accidents occurred outside urban areas are more likely to lead to death of riders. Finally, suggestions are made for the causes of accident injuries. This research is beneficial to the understanding of complex nonlinear relationships between accident injuries and influencing factors. The experimental results and analysis provide more guidelines to investigate injury prevention measures.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis of factors affecting riders injury severity in E-bike-motor vehicle collision accidents based on CIDAS data


    Contributors:
    Wang, Peng (author) / Lin, Miao (author) / Li, XiaoHu (author) / Wang, WenXia (author) / Wei, Wen (author)

    Conference:

    Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022) ; 2022 ; Guangzhou,China


    Published in:

    Proc. SPIE ; 12302


    Publication date :

    2022-11-23





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Analysis of factors affecting riders injury severity in E-bike-motor vehicle collision accidents based on CIDAS data

    Wang, Peng / Lin, Miao / Li, XiaoHu et al. | British Library Conference Proceedings | 2022



    Risk factors for injury accidents among moped and motorcycle riders

    Moskal, Aurélie / Martin, Jean-Louis / Laumon, Bernard | Elsevier | 2010



    Analysis of Factors Affecting Severity of Frontal Motor Vehicle Collision - Prospective Observational Study -

    Choi, H.Y. / Kim, S.C. / Lee, K.H. et al. | British Library Conference Proceedings | 2012