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Experimental study on the impact of visibility on bidirectional pedestrian flow under high and low urgency conditions

Author

Listed:
  • Deng, Qing
  • Zhou, Zheng
  • Xu, Ziyue
  • Ye, Yanchao
  • Xu, Ye
  • Liu, Quanyi
  • Jiang, Huiling
  • Zhang, Xiaole
  • Huang, Lida
  • Cai, Guoray

Abstract

Bidirectional pedestrian flow often leads to significant casualties and property damage when out of control, especially in emergencies. This study aims to investigate the characteristics of bidirectional pedestrian flow evacuation under different visibility and urgency conditions. Bidirectional pedestrian evacuation experiments are conducted under three different visibility conditions and two levels of urgency. The evacuation behavioral patterns are analyzed, including typical evacuation behaviors, evacuation speeds, and evacuation time of bidirectional pedestrian flows. Overtaking behavior, following behavior and boundary fast effect are observed during the evacuation process. As visibility decreased, pedestrian evacuation speeds also declined. The reduction in pedestrian speed due to diminished visibility was more pronounced under high-urgency conditions compared to low-urgency scenarios. Compared with non-emergency situations, in emergency situations, the moving speeds of pedestrians moving in the opposite direction are 61.90 %, 34.62 %, and 26.25 % faster when they are not wearing eye-patches, wearing an eye patch with a light transmittance of 27 %, and wearing eye-patches with a light transmittance of 16 %, respectively. The results highlight the critical impact of visibility on evacuation efficiency in emergencies. These findings provide empirical data on the influence of visibility and urgency level on emergency evacuation performance and offer valuable insights for crowd management.

Suggested Citation

  • Deng, Qing & Zhou, Zheng & Xu, Ziyue & Ye, Yanchao & Xu, Ye & Liu, Quanyi & Jiang, Huiling & Zhang, Xiaole & Huang, Lida & Cai, Guoray, 2025. "Experimental study on the impact of visibility on bidirectional pedestrian flow under high and low urgency conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 680(C).
  • Handle: RePEc:eee:phsmap:v:680:y:2025:i:c:s0378437125006946
    DOI: 10.1016/j.physa.2025.131042
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    1. Zahra Shahhoseini & Majid Sarvi, 2017. "Collective movements of pedestrians: How we can learn from simple experiments with non-human (ant) crowds," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-20, August.
    2. Yuan-Kai Chung & Chung-Chi Lin, 2017. "Heat-induced symmetry breaking in ant (Hymenoptera: Formicidae) escape behavior," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-12, March.
    3. Yue, Hao & Guan, Hongzhi & Zhang, Juan & Shao, Chunfu, 2010. "Study on bi-direction pedestrian flow using cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 527-539.
    4. Zhang, Teng & Zhang, Xuelin & Huang, Shenshi & Li, Changhai & Lu, Shouxiang, 2018. "Collective behavior of mice passing through an exit under panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 233-242.
    5. Sun, Yi, 2019. "Simulations of bi-direction pedestrian flow using kinetic Monte Carlo methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 519-531.
    6. Cao, Shuchao & Wang, Zhixiang & Zeng, Guang & Ren, Xiangxia & Li, Xiaolian, 2024. "Single-file movement of pedestrians at different visibility levels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    7. 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).
    8. Jin, Cheng-Jie & Shi, Ke-Da & Jiang, Rui & Li, Dawei & Fang, Shuyi, 2023. "Simulation of bi-directional pedestrian flow under high densities using a modified social force model," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    9. Zhuang, Yifan & Liu, Zhigang & Schadschneider, Andreas & Yang, Lizhong & Huang, Jiajun, 2021. "Exploring the behavior of self-organized queuing for pedestrian flow through a non-service bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    10. Zhang, Jingjing & Zhao, Jincheng & Song, Zhensen & Duan, Liping, 2023. "Experimental and modeling study on evacuation behaviors considering small groups under different visibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    11. Yang, Zhao & Zhang, Yuanyuan & Grembek, Offer, 2016. "Combining traffic efficiency and traffic safety in countermeasure selection to improve pedestrian safety at two-way stop controlled intersections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 286-301.
    12. Ye, Rui & Lian, Liping & Zeng, Yiping, 2024. "A quantitative analysis on bidirectional pedestrian flows through angled corridors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
    13. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    14. Isobe, Motoshige & Adachi, Taku & Nagatani, Takashi, 2004. "Experiment and simulation of pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(3), pages 638-650.
    15. Cheng-Jie Jin & Ke-Da Shi & Shu-Yi Fang, 2023. "Simulation of Single-File Pedestrian Flow under High-Density Condition by a Modified Social Force Model," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    16. Yang, Junheng & Chen, Weiying & Feng, Shumin & Zang, Xiaodong & Wang, Rui & Wu, Jiayou & Luo, Qiang, 2025. "Lane formation mechanism in public health risk scenarios: An empirical study on bidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 672(C).
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