电动两轮车风险驾驶行为及事故影响因素分析
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  • 英文篇名:Risky driving behavior and influencing factors analysis for electric two-wheeler
  • 作者:江亮 ; 贺宜
  • 英文作者:JIANG Liang;HE Yi;Intelligent Transportation Systems Research Center ,Wuhan University of Technology;Engineering Research Center for Transportation Safety,Ministry of Education,Wuhan University of Technology;
  • 关键词:交通运输系统工程 ; 电动两轮车 ; 驾驶行为 ; 交通事故 ; 影响因素 ; 致因分析
  • 英文关键词:engineering of communication and transportation system;;electric two - wheeler;;driving behavior;;road accident;;influencing factors;;cause analysis
  • 中文刊名:JLGY
  • 英文刊名:Journal of Jilin University(Engineering and Technology Edition)
  • 机构:武汉理工大学智能交通系统研究中心;武汉理工大学水路公路交通安全控制与装备教育部工程研究中心;
  • 出版日期:2019-07-09
  • 出版单位:吉林大学学报(工学版)
  • 年:2019
  • 期:v.49;No.204
  • 基金:国家自然科学基金项目(51605350)
  • 语种:中文;
  • 页:JLGY201904011
  • 页数:7
  • CN:04
  • ISSN:22-1341/T
  • 分类号:96-102
摘要
为探究电动两轮车风险驾驶行为产生的原因及其影响因素,通过问卷调查方式对183位电动两轮车骑行者进行问卷调查,经过探索性因素分析(EFA)得到了包括风险驾驶行为、情绪状态、利他主义、风险感知能力、驾驶自信和冒险意识的6因子结构模型。研究了统计学信息、6因子与交通事故之间的相互关系,构建了基于Logistic回归的交通事故预测模型,利用验证性因素分析(CFA)对该模型进行了验证。研究表明:日均里程、风险驾驶行为、工作时长、冒险意识是影响交通事故的重要参数。
        In order to explore the causes and influencing factors of risky driving behavior of electric twowheeled vehicles,a questionnaire survey was conducted among 183 electric two-wheeled cyclists. After exploratory factor analysis(EFA),a 6-factor structural model was established. These factors include risk driving behavior,emotion State,altruism,risk perception,driving self-confidence and risk awareness.The relationship between statistical information,the 6 factors and traffic accidents were studied to establish a traffic accident prediction model based on Logistic regression. This model was validated by the Factor Analysis(CFA). Research shows that daily mileage,risk driving behavior,working hours,risk awareness are important parameters affecting traffic accidents.
引文
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