CHEN Lei, PENG Chao, XIE Chunying, ZHANG Xiao. Analysis of electric bicycle-related traffic injury in Songjiang District of Shanghai[J]. Shanghai Journal of Preventive Medicine, 2022, 34(4): 335-339. DOI: 10.19428/j.cnki.sjpm.2022.21361
Citation: CHEN Lei, PENG Chao, XIE Chunying, ZHANG Xiao. Analysis of electric bicycle-related traffic injury in Songjiang District of Shanghai[J]. Shanghai Journal of Preventive Medicine, 2022, 34(4): 335-339. DOI: 10.19428/j.cnki.sjpm.2022.21361

Analysis of electric bicycle-related traffic injury in Songjiang District of Shanghai

  • Objective To explore the status and influencing factors of electric bicycle (e-bike)-related traffic injury in Songjiang District of Shanghai, and to provide reference for prevention and control of the injury.
    Methods A self-designed questionnaire was used to investigate the community residents over 16 years old who rode e-bike in Songjiang Western Industrial Zone. The survey included general demographic characteristics, physical and psychological conditions, e-bike use, accidents and injuries. Descriptive analysis, chi-square test and Fisher's exact probability method were used to explore the influencing factors of traffic injury by e-bike in Songjiang District.
    Results 1 030 questionnaires were distributed and 1 013 valid questionnaires were recovered. The effective rate of the questionnaire was 98.35%. From June 2020 to May 2021, the incidence of e-bike traffic accidents in Songjiang Western Industrial Zone was 17.47% and the incidence of injuries was 12.64%. The difference between e-bike accident group and non accident group was statistically significant (P<0.05) in the following factors: gender, registered residence, educational level, sleeping time, fatigue, violation of traffic regulations including speed limit 25 km‧h-1 and crossing of red traffic lights, riding after alcohol drinking, riding speed higher than 30 km‧h-1, riding on the phone, wearing headset, turning without prompting signal, riding on the lane of motor vehicles,and e-bike life. The top three injured body parts were limb pelvis (48.10%), body surface (27.85%) and head (13.92%). The nature of injury was mainly contusion / abrasion (82.03%), followed by fracture (17.19%).
    Conclusion The incidence of e-bike traffic accidents in Songjiang District is high. We should strengthen the traffic safety education of e-bike riders, strengthen the road traffic control, and reduce the occurrence of e-bike road traffic accidents in Songjiang District.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return