Zhang Xujun, Yang Yaming, Yang Jie, Hu Jie, Li Yang, Wu Ming, Stallones Lorann, Xiang Henry
a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics , School of Public Health, Southeast University , Nanjing , Jiangsu Province , China.
b Key Laboratory of Environmental Medicine Engineering , Ministry of Education, School of Public Health, Southeast University , Nanjing , Jiangsu Province , China.
Traffic Inj Prev. 2018 May 19;19(4):417-422. doi: 10.1080/15389588.2018.1423681. Epub 2018 Mar 20.
Electric bike/moped-related road traffic injuries have become a burgeoning public health problem in China. The objective of this study was to identify the prevalence and potential risk factors of electric bike/moped-related road traffic injuries among electric bike/moped riders in southern China.
A cross-sectional study was used to interview 3,151 electric bike/moped riders in southern China. Electric bike/moped-related road traffic injuries that occurred from July 2014 to June 2015 were investigated. Data were collected by face-to-face interviews and analyzed between July 2015 and June 2017.
The prevalence of electric bike/moped-related road traffic injuries among the investigated riders was 15.99%. Electric bike/moped-related road traffic injuries were significantly associated with category of electric bike (adjusted odds ratio [AOR] = 1.36, 95% confidence interval [CI], 1.01-1.82), self-reported confusion (AOR = 1.77, 95% CI, 1.13-2.78), history of crashes (AOR = 6.14, 95% CI, 4.68-8.07), running red lights (AOR = 3.57, 95% CI, 2.42-5.25), carrying children while riding (AOR = 1.96, 95% CI, 1.37-2.85), carrying adults while riding (AOR = 1.68, 95% CI, 1.23-2.28), riding in the motor lane (AOR = 2.42, 95% CI, 1.05-3.93), and riding in the wrong traffic direction (AOR = 1.63, 95% CI, 1.13-2.35). In over 77.58% of electric bike/moped-related road traffic crashes, riders were determined by the police to be responsible for the crash. Major crash-causing factors included violating traffic signals or signs, careless riding, speeding, and riding in the wrong lane.
Traffic safety related to electric bikes/moped is becoming more problematic with growing popularity compared with other 2-wheeled vehicles. Programs need to be developed to prevent electric bike/moped-related road traffic injuries in this emerging country.
电动自行车/助力车相关的道路交通伤害已成为中国一个新兴的公共卫生问题。本研究的目的是确定中国南方电动自行车/助力车骑行者中电动自行车/助力车相关道路交通伤害的患病率及潜在风险因素。
采用横断面研究方法，对中国南方3151名电动自行车/助力车骑行者进行访谈。调查了2014年7月至2015年6月期间发生的电动自行车/助力车相关道路交通伤害。通过面对面访谈收集数据，并于2015年7月至2017年6月进行分析。
在被调查的骑行者中，电动自行车/助力车相关道路交通伤害的患病率为15.99%。电动自行车/助力车相关道路交通伤害与电动自行车类型（调整优势比[AOR]=1.36，95%置信区间[CI]，1.01 - 1.82）、自我报告的困惑（AOR = 1.77，95% CI，1.13 - 2.78）、撞车史（AOR = 6.14，95% CI，4.68 - 8.07）、闯红灯（AOR = 3.57，95% CI，2.42 - 5.25）、骑车时搭载儿童（AOR = 1.96，95% CI，1.37 - 2.85）、骑车时搭载成人（AOR = 1.68，95% CI，1.23 - 2.28）、在机动车道骑行（AOR = 2.42，95% CI，1.05 - 3.93）以及逆行（AOR = 1.63，95% CI，1.13 - 2.35）显著相关。在超过77.58%的电动自行车/助力车相关道路交通事故中，警方认定骑行者对事故负有责任。主要的事故致因因素包括违反交通信号或标志、骑行粗心、超速以及在错误车道骑行。
与其他两轮车辆相比，随着电动自行车/助力车越来越普及，其相关交通安全问题日益突出。在这个新兴国家需要制定相关项目来预防电动自行车/助力车相关的道路交通伤害。
