山东科学 ›› 2016, Vol. 29 ›› Issue (1): 62-68.doi: 10.3976/j.issn.1002-4026.2016.01.011

• 交通运输 • 上一篇    下一篇

信号交叉口行人与自行车的等待忍耐行为分析

刘艳婷,杨小宝*,潘丽,四兵锋   

  1. 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
  • 收稿日期:2015-10-25 出版日期:2016-02-20 发布日期:2016-02-20
  • 通信作者: 杨小宝(1981-),男,副教授,博士生导师,研究方向为交通行为与安全、计量经济学在交通中的应用。 E-mail:yangxb@bjtu.edu.cn
  • 作者简介:刘艳婷(1991-),女,硕士生,研究方向为交通行为与安全。
  • 基金资助:

    国家重点基础研究发展计划(2012C B725400);国家自然科学基金(71131001, 71571013);北京高等学校青年英才计划项目(YETP0554);中央高校基本科研业务费(2015JBM054)

Analysis of waiting endurance behavior for pedestrians and bicyclists at signal intersections

LIU Yanting, YANG Xiaobao*, PAN Li, SI Bingfeng   

  1. Ministry of Education Key Laboratory for Urban Transportation Complex System Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
  • Received:2015-10-25 Online:2016-02-20 Published:2016-02-20

摘要:

为了探究行人与自行车骑行者信号交叉口穿越行为的差异,本文运用生存分析方法比较了行人与自行车等待忍耐时间分布及其等待行为影响因素的异同。选取北京典型交叉口通过视频获取了1 595个行为数据,运用生存分析的乘积极限法和Cox比例风险模型分别比较了行人与自行车的等待忍耐时间分布差异以及等待行为的影响因素差异。结果表明整体上行人与自行车的等待忍耐时间分布无显著差异,但等待行为的影响因素及其影响程度上存在一定差异。自行车对等待位置和到达时正在违规的人数反应更敏感,行人对到达时正在等待的人数和机动车流量的反应更敏感。

关键词: 风险模型, 行人, 等待忍耐时间, 生存分析, 自行车

Abstract:

We compared the difference of waiting endurance time distribution and its influential factors for pedestrians and bicyclists with survivor analysis methods to explore the distinction between crossing behavior of pedestrians and bicyclists at signal intersections. We obtained 1595 behavior data of pedestrians and bicyclists by coding videos at Beijing seven typical signal intersections. We further employed product limit method and Cox proportional hazard model to compare the difference of waiting endurance time distribution and that of influential factors of waiting behavior of pedestrians and bicyclists. Results indicate that no significant difference exists in their waiting time distributions. However, some significant differences exist in the influential factors of their waiting endurance behavior and influential extent. Bicyclists are more sensitive to waiting positions and traffic law violator numbers upon their arrival, while pedestrians are more sensitive to waiting people numbers and vehicle volume upon their arrival.

Key words: survivor analysis, bicyclist, pedestrian, waiting endurance time, hazard model

中图分类号: 

  • U491