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

【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、χ^(2)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1030份,回收有效问卷1013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。

[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]1030 questionnaires were distributed and 1013 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.