Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations
Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations
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城市地铁车站上下车过程人群动态特征分析
DOI：
10.1016/j.physa.2019.121075
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发表时间：
2019-07
期刊：
影响因子：
--
通讯作者：
Tang Tao
中科院分区：
文献类型：
--
作者：
Qu Yunchao;Xiao Yao;Liu Hao;Yin Haodong;Wu Jianjun;Qu Qiushi;Li Daqing;Tang Tao
城市地铁系统是最可持续的出行方式之一，可以满足大城市的大量出行需求。上下车过程是双向行人通过瓶颈的一种特殊形式，表现为复杂的非线性动力学行为。定量研究人的行为对上下车过程的影响是一个具有挑战性的问题。为了进一步分析人群动态，采集了北京多个城市地铁站站台的监控视频，提取了每个乘客通过车门的时间间隔。根据提取的个体运动数据，提取相邻乘客之间的间隔时间和突发量，并进行统计分析。提出有序度的概念来描述上下车过程的活动模式。通过对个体数据的定量分析，探讨了突发规模、有序度和时间间隔等因素之间的关系。车头时距的概率密度函数服从正偏态分布，互补累积分布函数具有幂律分布特性。突发规模与车头时距的关系可以分为三个阶段。通过寻找首个下车乘客与首个上车乘客之间的时间差，研究了不同时间压力下的乘客行为。所获得的乘客个体行为特征可用于估计和设计停留时间，提高系统的可持续性。
Urban metro system is one of the most sustainable travel modes that affords lots of travel demands in the large cities. The boarding and alighting process is a special form of the bi-directional pedestrian flow through bottleneck, which displays complicated nonlinear dynamics. Quantitatively investigating the influence of human behavior on the boarding and alighting process is the challenging problem. To further analyze the crowd dynamics, the surveillance videos at platforms of several urban metro stations in Beijing were recorded, and the time interval of each passenger passing the train door was extracted. According to the extracted individual movement data, the time headway between each two adjacent passengers and the burst size were extracted and analyzed by statistics approaches. The concept of order degree was proposed to describe the activity pattern of a boarding and alighting process. The relationships between these factors including burst size, order degree, and time gap were explored by quantitatively analyzing the individual data. The probability density function of the time headway follows the positively skewed distribution, and the complementary cumulative distribution function shows the property of the power-law distribution. The relationship between burst size and time headway could be divided into three phases. By finding the time gap between the first alighting passenger and the first boarding passenger, the passenger activity under different time pressure was investigated. The obtained individual passenger behavior characteristics could be potentially applied to estimate and design the dwell time and improve the system sustainability.
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发表时间：
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期刊：
Transportation Research Part C
影响因子：
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DOI：
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影响因子：
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