陈雷, 彭超, 谢春英, 张晓. 上海市松江区电动自行车道路交通伤害状况的分析[J]. 上海预防医学, 2022, 34(4): 335-339. DOI: 10.19428/j.cnki.sjpm.2022.21361
引用本文: 陈雷, 彭超, 谢春英, 张晓. 上海市松江区电动自行车道路交通伤害状况的分析[J]. 上海预防医学, 2022, 34(4): 335-339. DOI: 10.19428/j.cnki.sjpm.2022.21361
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

上海市松江区电动自行车道路交通伤害状况的分析

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

  • 摘要:
    目的 了解上海市松江区电动自行车道路交通伤害状况及其影响因素,为电动自行车道路交通伤害的防控提供参考依据。
    方法 采用自行设计的调查问卷对上海市松江区西部工业区>16岁骑电动自行车的社区居民开展调查。调查内容包括一般人口学特征、身体及心理状况、电动自行车使用状况、发生事故及受伤状况。通过描述性分析、χ2检验、Fisher精确概率法探讨松江区电动自行车道路交通伤害的影响因素。
    结果 本调查发放问卷1 030份,回收有效问卷1 013份,问卷有效率为98.35%。2020年6月—2021年5月上海市松江区西部工业区电动自行车道路交通事故发生率为17.47%,伤害发生率为12.64%。电动自行车事故组与非事故组在性别、户籍、文化程度、睡眠时长、劳累、新规限速25 km‧h-1、违反交规被处罚、闯红灯、酒后骑行、骑速≥30 km‧h-1、骑行中打电话、戴耳机、转向无提示、机动车道骑行、车辆使用年限之间的差异有统计学意义(P<0.05)。受伤部位前3位依次是四肢骨盆(48.10%)、体表(27.85%)、头部(13.92%)。伤害性质主要为挫伤/擦伤(82.03%),其次是骨折(17.19%)。
    结论 上海市松江区电动自行车道路交通事故发生率较高,应加强电动自行车骑行者交通安全教育,加强道路交通管控,改善电动自行车道路交通伤害发生状况。

     

    Abstract:
    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.

     

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