在混合交通条件下影响电动自行车骑行者的风险的决定因素:使用实验研究数据的部分受约束随机参数方法
Yuntong Zhou1, Xin Gu1, Mohamed Abdel-Aty2
1Beijing University of Technology, Beijing Key Laboratory of Traffic Engineering, Beijing 100124, China.
Accident; analysis and prevention
|December 29, 2025
概括
电动自行车 (e-bike) 的采用影响城市移动性和安全. 混合交通条件显著影响电动自行车骑行者的制动行为,影响风险感知和避免策略.
科学领域:
- 运输科学 运输科学
- 交通安全工程 交通安全工程
- 骑自行车的人类因素
背景情况:
- 全球采用电动自行车增强了城市流动性,但也带来了交通安全挑战.
- 骑自行车的制动行为对安全至关重要,特别是在混合交通环境中.
- 现有的研究往往侧重于碰撞严重程度,忽视了在各种交通条件下特定的行为风险.
研究的目的:
- 在混合和非混合交通条件下调查影响电动自行车骑行者的制动行为因素.
- 分析交通状况对骑自行车者风险感知和避免的影响.
- 通过行为分析,提供对电动自行车骑行者安全的细微了解.
主要方法:
- 利用实地实验数据来捕捉现实世界骑自行车者的行为.
- 采用了一种部分受约束的随机参数逻辑模型,在平均值中具有异质性.
- 根据骑自行车者的特征,行为因素和道路特征进行控制.
主要成果:
- 混合交通条件显然会影响电动自行车骑行者的安全.
- 转头和转手的行为表明不同的风险感知和避免.
- 没有观察到的异质性和交叉条件相关性显著影响制动行为.
结论:
- 交通基础设施设计和骑自行车者的特点必须考虑混合交通的影响.
- 了解骑自行车者的行为反应对于改善电动自行车安全至关重要.
- 考虑到未观察到的因素,可以更深入地了解电动自行车骑行者的制动模式.
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