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A study on pedestrian choice between stairway and escalator in the transfer station based on floor field cellular automata

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  • Ji, Xiangfeng
  • Zhang, Jian
  • Ran, Bin

Abstract

Stairway and escalator are the main transfer facilities in the station where pedestrians make choices between them. A good understanding of pedestrian choices is helpful to raise the efficiency of transfer stations and lower the probability of disasters, such as stamps caused by congestion. This paper studies the choice behavior of pedestrians using random utility theory and floor field cellular automata. Among the factors influencing pedestrian choices, there are non-quantitative ones and quantitative ones. Thus, a method combining qualitative description and quantitative description is adopted. Subsequently, a logit model is presented to mimic the choice behaviors of pedestrians. In this model, there are three new important parameters, including familiarity, walking disutility, and time pressure. By using micro-simulation, a sensitivity analysis for these parameters is conducted. Besides, a counting rule based on the Large Number Law is presented to count the real data in transfer stations in Shanghai. After comparing the sensitivity analysis results and measurement data, several reference values of the three important parameters are obtained in un-congested and congested situations respectively.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:5089-5100
    DOI: 10.1016/j.physa.2013.06.011
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    References listed on IDEAS

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    Cited by:

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    2. 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).
    3. Ji, Xiangfeng & Zhang, Jian & Hu, Yongkai & Ran, Bin, 2016. "Pedestrian movement analysis in transfer station corridor: Velocity-based and acceleration-based," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 416-434.
    4. Guo, Wei & Wang, Xiaolu & Liu, Mengting & Cheng, Yuan & Zheng, Xiaoping, 2015. "Modification of the dynamic floor field model by the heterogeneous bosons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 358-366.
    5. Zhou, Xuemei & Hu, Jingjie & Ji, Xiangfeng & Xiao, Xiongziyan, 2019. "Cellular automaton simulation of pedestrian flow considering vision and multi-velocity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 982-992.
    6. Li, Shengnan & Li, Xingang & Qu, Yunchao & Jia, Bin, 2015. "Block-based floor field model for pedestrian’s walking through corner," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 337-353.

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