Journal of Transportation Systems Engineering and Information Technology ›› 2015, Vol. 15 ›› Issue (1): 185-190.

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Modeling and Analysis of Pedestrian Choice between Stairway and Escalator in Urban Rail Transit Station

SHI Rui-jia, DING Yong, BAI Yun, XU Qi, LI Ming-gao   

  1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
  • Received:2014-08-23 Revised:2014-12-04 Online:2015-02-25 Published:2016-02-25

地铁乘客对步行楼梯和自动扶梯的选择行为分析及建模

史芮嘉,丁勇*,柏赟,许奇,李明高   

  1. 北京交通大学城市复杂系统理论与技术教育部重点实验室,北京100044
  • 作者简介:史芮嘉(1991-),女,河北石家庄人,博士
  • 基金资助:

    国家基础研究计划项目(2012CB725406);国家自然科学基金(71131001);交通运输部建设科技项目 (2013318221420).

Abstract:

Based on the pedestrian behavior data of six transfer stations in the peak hour in Beijing, the importance degree of factors affecting pedestrian choice is calculated by gray correlation method. The probability of pedestrian choosing stairway is modeled and analyzed by fuzzy theory. The result shows that, the height of the stairway, queuing number before escalator and luggage are significant factors affecting pedestrians’choice. Fuzzy theory can effectively reflect pedestrian choice behavior in Beijing urban rail transit. Furthermore, when the queuing length before escalator is less than 25, the probability of choosing stairway is small and little affected by other factors. While the queuing length before escalator is more than 25, the probability of passengers choosing stairway increases significantly, and the smaller the load and height is, the impact by queuing length is more obvious. Passengers with different loads have the same regular pattern while stairway height changes and the probability of choosing stairway monotonically decrease while stairway height increases.

Key words: urban traffis, urban rail transit, passenger choice behavior, fuzzy theory, gray correlation, stairway and escalator

摘要:

基于北京地铁6 个换乘站客流高峰期乘客对上行方向步行楼梯和自动扶梯的选择行为调查数据,采用灰色关联法计算乘客选择行为影响因素的重要度并排序.利用模糊数学理论建立乘客的选择行为模型,并分析乘客选择行为与相关影响因素的变化规律.研究表明,楼梯高度、扶梯前排队人数、乘客携带行李情况为影响乘客选择行为的重要因素.本文建立的模型可较好地刻画乘客的选择行为,模型计算结果与实际数据较吻合.此外,扶梯前排队人数少于25 人时,乘客选择楼梯的概率较小,受其他因素影响小;超过25 人后,乘客选择楼梯概率随排队人数的增加显著增加,且乘客负重、楼梯高度越小,影响越明显.不同负重乘客选择楼梯的概率随楼梯高度的变化规律一致,并随楼梯高度的增加近似呈线性下降.

关键词: 城市交通, 城市轨道交通, 乘客选择行为, 模糊理论, 灰色关联, 楼扶梯设施

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