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Observation and cellular-automaton based modeling of pedestrian behavior on an escalator

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  • Xie, Chuan-Zhi
  • Tang, Tie-Qiao
  • Hu, Peng-Cheng
  • Chen, Liang

Abstract

In-depth analysis of pedestrian movement behavior on staircases and escalators can significantly improve their operation efficiency and safety. However, compared with stairs, researchers have generally given little attention to pedestrian movement on escalators. In this paper, we conduct a case study to extract the physical attributes of the escalator, the pedestrians’ microscopic movement characteristics, and the macro-level pedestrian flow dynamics on the escalator of Beihang University’s canteen. Using the data, we establish a step-length-based CA model to represent the pedestrian movement across the escalator. The CA model can effectively render the pedestrian’s grouping formation and walking characteristics at the micro-level and describe the pedestrian flow at the macro-level. Through simulations, we quantitatively analyze some widely used pedestrian guidance strategies on escalators (e.g., the “walk left, stand right” rule, changing the grouping formation). The results may have bearing on real-life escalator management.

Suggested Citation

  • Xie, Chuan-Zhi & Tang, Tie-Qiao & Hu, Peng-Cheng & Chen, Liang, 2022. "Observation and cellular-automaton based modeling of pedestrian behavior on an escalator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    • Handle: RePEc:eee:phsmap:v:605:y:2022:i:c:s0378437122006471
    DOI: 10.1016/j.physa.2022.128032
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    References listed on IDEAS

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    1. Guo, Ren-Yong & Huang, Hai-Jun & Wong, S.C., 2012. "Route choice in pedestrian evacuation under conditions of good and zero visibility: Experimental and simulation results," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 669-686.
    2. Ji, Xiangfeng & Zhou, Xuemei & Ran, Bin, 2013. "A cell-based study on pedestrian acceleration and overtaking in a transfer station corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1828-1839.
    3. Sanjeev Kadam & Prabir Kumar Bandyopadhyay, 2020. "A case study of Elphinstone Road foot-over-bridge stampede in Mumbai," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 16(1), pages 77-90.
    4. Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen, 2016. "Modeling, simulation and analysis of group trampling risks during escalator transfers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 970-984.
    5. von Krüchten, Cornelia & Schadschneider, Andreas, 2017. "Empirical study on social groups in pedestrian evacuation dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 129-141.
    6. Liu, Rong & Fu, Zhijian & Schadschneider, Andreas & Wen, Qiuping & Chen, Junmin & Liu, Shaobo, 2019. "Modeling the effect of visibility on upstairs crowd evacuation by a stochastic FFCA model with finer discretization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    7. Ji, Xiangfeng & Zhang, Jian & Ran, Bin, 2013. "A study on pedestrian choice between stairway and escalator in the transfer station based on floor field cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5089-5100.
    8. Liu, Qian, 2018. "A social force model for the crowd evacuation in a terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 315-330.
    9. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
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    Cited by:

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    2. Xue Lin & Long Cheng & Shuo Zhang & Qianling Wang, 2023. "Simulating the Effects of Gate Machines on Crowd Traffic Based on the Modified Social Force Model," Mathematics, MDPI, vol. 11(3), pages 1-12, February.

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