东南大学学报（英文版）2023，Vol.39Issue(3)：284-291,8.DOI:10.3969/j.issn.1003-7985.2023.03.009
共享电动自行车骑行者事故伤害严重程度影响因素分析
Analysis of factors affecting injury severity of shared electric bike riders
摘要
Abstract
This study investigated the potential factors affecting the injury severity of shared electric bike (e-bike) riders and analyzed potential heterogeneity using a dataset comprising of 1343 shared e-bike insurance accidents recorded by a shared e-bike company as the research object. The injury severity was categorized into two levels: not injured and injured. Twelve independent variables were selected based on six aspects involving attributes of shared e-bike rider, vehicle, road, environment, time, and accident. The effects of different factors on the injury severity of shared e-bike riders were assessed using the random parameter logit model with heterogeneity in means. Results indicate that the variable"other traffic participants at fault"in the accident scenarios featured a random parameter that adhered to a normal distribution and exhibited mean heterogeneity. This increased the likelihood of injury among shared e-bike riders. However, the probability of injury decreased when the scenario involved both the variable"other traffic participants at fault"and component damage. The variables female, intact road surface, dry road pavement, nighttime, single-vehicle accidents, and both at-fault accidents could increase the injury probability among shared electric bike riders to varying degrees. The findings of this research provide a theoretical basis for the development of traffic safety strategies targeted at shared electric bike riders.关键词
交通工程/事故伤害严重程度/共享电动自行车骑行者/随机参数模型/均值异质性Key words
traffic engineering/injury severity/shared electric bike riders/random parameter model/heterogeneity in mean分类
交通工程引用本文复制引用
张晓龙,黄建玲,边扬,赵晓华,李佳..共享电动自行车骑行者事故伤害严重程度影响因素分析[J].东南大学学报（英文版）,2023,39(3):284-291,8.基金项目
The National Natural Science Foundation of China(No.52072012). （No.52072012）
