| 电动车骑行者碰撞风险感知研究 |
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| 引用本文： | 杨小宝,董苓,环梅,李明.电动车骑行者碰撞风险感知研究[J].北京理工大学学报,2013,33(S1):105-108. |
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| 作者姓名： | 杨小宝 董苓 环梅 李明 |
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| 作者单位： | 北京交通大学 城市交通复杂系统理论与技术教育部重点实验室, 北京 100044;北京交通大学 城市交通复杂系统理论与技术教育部重点实验室, 北京 100044;北京交通大学 城市交通复杂系统理论与技术教育部重点实验室, 北京 100044;北京交通大学 城市交通复杂系统理论与技术教育部重点实验室, 北京 100044 |
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| 基金项目： | 国家重点基础研究发展计划(2012CB725400);国家自然科学基金资助项目(70901005,71131001);北京交通大学基本科研业务费资助项目(2013JBM043) |
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| 摘 要： | 研究电动车骑行者碰撞风险感知的影响因素及其各种情形下碰撞风险感知的差异. 设计基于危险情形的问卷,通过网上收集问卷获取数据,采用因子分析和Logistic模型等统计方法,对电动车骑行者碰撞风险感知进行了研究. 结果表明:驾驶技能、出行频率、年龄、冒险倾向等因素对风险感知有显著影响;电动车分别与小汽车、电动车、自行车发生碰撞时,风险感知依次下降;同一情形下,骑行者自己失误比他人失误引发的碰撞风险感知更低.
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| 关 键 词： | 碰撞 风险感知 电动自行车 |
| 收稿时间： | 7/8/2013 12:00:00 AM |
Analysis on Crash Risk Perception for Electric Bike Riders |
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| YANG Xiao-bao,DONG Ling,HUAN Mei and LI Ming.Analysis on Crash Risk Perception for Electric Bike Riders[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(S1):105-108. |
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| Authors: | YANG Xiao-bao DONG Ling HUAN Mei and LI Ming |
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| Institution: | MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China;MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China |
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| Abstract: | The influencing factors and the relationships among them were investigated for the crash risk perception of e-bike riders under different risk situations. An online questionnaire survey was conducted for data collection. Ordered logistic regression (OLR) and principal component analysis (PCA) were used to analyze the crash risk perception of e-bike riders. The results indicate that the crash risk perception is closely related to the factors such as driving skills, travel frequency, age and risk propensity. An e-bike rider has higher perceived risk when she/he has a conflict with a car compared with a cyclist. And the rider's risk perception declines with an individual riding error. |
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| Keywords: | collision risk perception electric bike |
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