Abstract：Objective To investigate the risk factors of road traffic injuries caused by electric bicycles, so as to provide insights into the prevention and control of road traffic injuries. Methods A case-control study was performed (cases to controls ratio of 1∶2). The riders of electric bicycles with road-traffic injuries in Songjiang District, Shanghai Municipality during the period between June 2020 and May 2021 were included in the case group, and age-, gender- and occupation-matched riders of electric bicycles without road-traffic injuries in the same study area during the same study period served as controls. Participants' demographic data, living habits, health status, awareness of safe riding and riding behaviors were collected using questionnaire surveys, and the risk factors of road-traffic injuries caused by electric bicycles were identified using a multivariable conditional logistic regression model. Results There were 167 participants in the case group, including 122 men (73.05%) and with an age of 38 (21) years, and 334 participants in the control group, including 244 men (73.05%) and with an age of 32 (18) years. Multivariable conditional logistic regression analysis identified sleep duration of less than 8 h (OR=1.760, 95%CI: 1.111-2.786), occasional/frequent anxiety (OR=5.140, 95%CI: 1.067-24.750), unawareness of riding speed limit of 25 km/h (OR=2.352, 95%CI: 1.460-3.788), having been warned or punished for violating traffic rules (OR=2.246, 95%CI: 1.243-4.060), running a red light (OR=1.725, 95%CI: 1.043-2.852), riding speed of ≥ 30 km/h (sometimes, OR=2.409, 95%CI: 1.475-3.933; often, OR=4.711, 95%CI: 2.153-10.309) as risk factors of electric bicycle road-traffic injuries. Conclusions Electric bicycle road-traffic injuries is associated with sleep duration, anxiety, awareness of traffic rules, and unsafe riding behaviors. Traffic safety education and law enforcement is required to be reinforced among riders of electric bicycles.
 智研咨询. 2021年中国电动自行车行业现状分析[EB/OL].(2022-04-26)[2022-09-01].https://blog.csdn.net/m0_68724905/article/details/124420353.  于昊,赵琳娜,戴帅.城市电动自行车交通安全发展趋势及应对策略[J].城市交通,2022,20(1):76-82. YU H,ZHAO L N,DAI S.Traffic safety of electric bicycles in cities:development trends and strategies[J].Urban Transp China,2022,20(1):76-82.  中国国家统计局.2019年中国统计年鉴[M].北京:中国统计出版社,2019. National Bureau of Statistics of China.2019 China statistical yearbook[M].Beijing:China Statistics Press,2019.  中华预防医学会伤害预防与控制分会.关于伤害界定标准的决定中华预防医学会伤害预防与控制分会第一届第五次常委会通过[J].中华疾病控制杂志,2011,15(1):9.  中华人民共和国公安部.道路交通管理信息采集规范第3部分:道路交通事故处理信息采集:GA/T 946.3—2011[S].北京:中国标准出版社,2011. The Ministry of Public Security of the People's Republic of China.Specification for road traffic management information collection-part 3:road traffic accident handling information collection:GA/T 946.3-2011[S].Beijing:Standards Press of China,2011.  胡洁. 电动自行车道路交通伤害现状及影响因素分析[D].南京:东南大学,2017. HU J.Influencing factors of electric bike-related road traffic injuries[D].Nanjing:Southeast University,2017.  林泽婷. 汕头市电动自行车道路交通伤害危险因素的病例对照研究[D].汕头:汕头大学,2021. LIN Z T.Case-control study on the risk factors for electric-bike road traffic injury(ERTI)in Shantou City[D].Shantou:Shantou University,2021.  国家市场监督管理总局,中国国家标准化管理委员会.电动自行车安全技术规范:GB 17761—2018[S].北京:中国标准出版社,2018. State Administraion for Market Regulation,Standardization Administration of the People's Republic of China.Safety technical specification for electric bicycle:GB 17761-2018[S].Beijing:Standards Press of China,2018.  PHILIP P,CHAUFTON C,ORRIOLS L,et al.Complaints of poor sleep and risk of traffic accidents:a population-based case-control study[J/OL].PLoS One,2014,9(12)[2022-09-01].http://doi.org/10.1371/journal.pone.0114102.  LEMKE M K,APOSTOLOPOULOS Y,HEGE A,et al.Understanding the role of sleep quality and sleep duration in commercial driving safety[J].Accid Anal Prev,2016,97:79-86.  李军,杨敏丽,王洋,等.昆明市出租车司机疲劳与相关健康和安全危险因素[J].昆明医科大学学报,2016,37(9):49-52. LI J,YANG M L,WANG Y,et al.Analysis of fatigue and related health and safety risk factors among taxi drivers in Kunming[J].J Kunming Med Univ,2016,37(9):49-52.  王恁. 基于脑电信号的疲劳驾驶检测与预警技术研究[D].太原:太原理工大学,2020. WANG N.Research on fatigue driving detection and early warning technology based on EEG signals[D].Taiyuan:Taiyuan University of Technology,2020.  王艳波,秦虹云,尤志栋,等.驾驶人心理因素对其风险驾驶行为的影响[J].汽车与安全,2019(3):83-88. WANG Y B,QIN H Y,YOU Z D,et al.Influence of driver's psychological factors on their risk driving behavior[J].Auto Safety,2019(3):83-88.  李娜. 焦虑状态下驾驶员视觉搜索的眼动研究[D].大连:辽宁师范大学,2014. LI N.An analysis of eye movement in the drivers' visual search with anxiety[D].Dalian:Liaoning Normal University,2014.  陈福祥. 汕头市外卖骑手道路交通安全知信行及其伤害发生现状调查[D].汕头:汕头大学,2020. CHEN F X.Investigation on knowledge, attitude, behavior of road traffic safety and injury occurrence among takeaway delivery riders in Shantou[D].Shantou:Shantou University,2020.  夏越. 城乡居民道路交通安全意识差异性比较研究:以焦作市为例[D].焦作:河南理工大学,2016. XIA Y.The study on the difference of traffic safety awareness between urban and rural residence:a case of Jiaozuo[D].Jiaozuo:Henan Polytechnic University,2016.  LI Q,YU S,CHEN T,et al.Road safety risk factors for non-motorised vehicle users in a Chinese city:an observational study[J].Inj Prev,2020,26(2):116-122.  邢秀雅,徐伟,陈叶纪,等.安徽省某市电动自行车骑行者危险行为路边观测研究[J].中华疾病控制杂志,2017,21(9):943-946,952. XING X Y,XU W,CHEN Y J,et al.A roadside observation study of unsafe riding acts among electric bicycle riders in a city of Anhui Province[J].Chin J Dis Control Prev,2017,21(9):943-946,952.  朱新宇,褚昭明,朱建安,等.中国电动自行车交通事故析因及对策建议[J].城市交通,2021,19(6):62-68. ZHU X Y,CHU Z M,ZHU J A,et al.Analysis and countermeasures of electric bicycle traffic accident in China[J].Urban Transp China,2021,19(6):62-68.