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Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations

Author

Listed:
  • Qu, Yunchao
  • Xiao, Yao
  • Liu, Hao
  • Yin, Haodong
  • Wu, Jianjun
  • Qu, Qiushi
  • Li, Daqing
  • Tang, Tao

Abstract

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.

Suggested Citation

  • Qu, Yunchao & Xiao, Yao & Liu, Hao & Yin, Haodong & Wu, Jianjun & Qu, Qiushi & Li, Daqing & Tang, Tao, 2019. "Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
  • Handle: RePEc:eee:phsmap:v:526:y:2019:i:c:s0378437119306600
    DOI: 10.1016/j.physa.2019.121075
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    Citations

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    Cited by:

    1. Zheng, Zhongxing & Wang, Heng & Liu, Weiming & Peng, Liru, 2023. "Toward real-time congestion measurement of passenger flow on platform screen doors based on surveillance videos analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    2. Yu, Chao & Li, Haiying & Xu, Xinyue & Liu, Jun, 2020. "Data-driven approach for solving the route choice problem with traveling backward behavior in congested metro systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    3. Sebastian Seriani & Vicente Aprigliano Fernandes & Paola Moraga & Fabian Cortes, 2022. "Experimental Location of the Vertical Handrail to Improve the Accessibility of Wheelchair Passengers Boarding and Alighting at Metro Stations—A Pilot Study," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    4. Syed, Ahmed & Thampi, Sumesh P. & Panchagnula, Mahesh V., 2022. "Order-stampede transitions in human crowds: The role of individualistic and cooperative forces," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    5. Ding, Heng & Di, Yunran & Zheng, Xiaoyan & Liu, Kai & Zhang, Weihua & Zheng, Lingling, 2021. "Passenger arrival distribution model and riding guidance on an urban rail transit platform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    6. Yang, Xiaoxia & Yang, Xiaoli & Pan, Fuquan & Kang, Yuanlei & Zhang, Jihui, 2021. "The effect of passenger attributes on alighting and boarding efficiency based on social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).

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