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Experimental study on the evading behavior of pedestrians encountering those who go against the flow

Author

Listed:
  • Li, Jianlin
  • Zhang, Jun
  • Yu, Hang
  • Huang, Can
  • Song, Xuehua
  • Li, Xintong
  • Song, Weiguo
  • Lee, Eric Wai Ming

Abstract

In building evacuations, there exist scenarios where a group of firefighters or emergency managers move against the evacuation flow to carry out rescue work. Understanding the mechanisms of evading behavior of the evacuees under walking and running states encountering the emergency responders is vital to reduce the conflicts among pedestrians moving in different directions and improve the evacuation efficiency. In this study, the character parameters of the evading behavior, including initiation evading distances, preferred areas, are investigated experimentally for evaders under walking and running states. The entire evading process was divided into three stages (the pre-evade stage, the evading stage and the post-evade stage). The results reveal that the evading distance and the probability of starting to evade follow an exponential decay. Evaders in both walking and running states tend to enter evading areas that are closer in distance as well as those with higher area occupancy rates. There is no evidence suggesting that the average pedestrian speeds in areas affect their selection of evading areas. The available distance in the evading direction and the sideways acceleration of the evader both adhere to an exponential decay function. The study aims to enhance the understanding of pedestrian dynamics for effective crowd management and emergency response operations.

Suggested Citation

  • Li, Jianlin & Zhang, Jun & Yu, Hang & Huang, Can & Song, Xuehua & Li, Xintong & Song, Weiguo & Lee, Eric Wai Ming, 2025. "Experimental study on the evading behavior of pedestrians encountering those who go against the flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 671(C).
  • Handle: RePEc:eee:phsmap:v:671:y:2025:i:c:s0378437125003346
    DOI: 10.1016/j.physa.2025.130682
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    References listed on IDEAS

    as
    1. Jia, Xiaolu & Feliciani, Claudio & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2019. "Experimental study on the evading behavior of individual pedestrians when confronting with an obstacle in a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    2. Maik Boltes & Armin Seyfried & Bernhard Steffen & Andreas Schadschneider, 2010. "Automatic Extraction of Pedestrian Trajectories from Video Recordings," Springer Books, in: Wolfram W. F. Klingsch & Christian Rogsch & Andreas Schadschneider & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2008, pages 43-54, Springer.
    3. Liu, Weisong & Zhang, Jun & Li, Xudong & Song, Weiguo, 2022. "Avoidance behaviors of pedestrians in a virtual-reality-based experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    4. Cheng, Zhiyang & Yue, Hao & Zhang, Ning & Zhang, Xu, 2024. "Research on mechanism and simulation for avoiding behavior of individual pedestrian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    5. Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    6. Yang, Junheng & Zang, Xiaodong & Chen, Weiying & Luo, Qiang & Wang, Rui & Liu, Yuanqian, 2024. "Improved social force model based on pedestrian collision avoidance behavior in counterflow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).
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    1. Yu, Hanchen & Jiang, Nan & Gao, Dongli & Shi, Jixin & Yang, Hongyun & Lee, Eric Wai Ming & Yang, Lizhong, 2025. "Exploring asymmetric and symmetric pedestrian merging dynamics: Macro parameters and micro behavioral adaptations from single-file experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 677(C).

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