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Macroscopic and microscopic movement properties of the fast walking pedestrian flow with single-file experiments

Author

Listed:
  • Zeng, Guang
  • Ye, Rui
  • Zhang, Jun
  • Cao, Shuchao
  • Song, Weiguo

Abstract

In case of fire or some other emergency situations, people will move fast to evacuate from the dangerous zone. For safe and efficient evacuation, it is essential to understand pedestrian movement in fast pedestrian flow. Although there are a lot of research about the fast pedestrian flow, most of them focus on pedestrian dynamics at bottleneck or evacuation from a room. The research about the fast pedestrian flow in corridor is few, and the relation of velocity and local space is not clear yet. Here a series of single-file experiments were conducted to investigate pedestrian dynamics of the normal and fast walking pedestrian flows in a corridor. It is found that fast pedestrians can still move smoothly at 1.82 Ped/m where apparent stop-and-go behavior appears in the normal walking pedestrian flow. Both the headway-velocity relations of the normal and fast walking pedestrian flows have two regimes. However, in the fast walking pedestrian flow, pedestrians have a wider free regime and they can move with a higher velocity even in a small local space due to the higher motivation. The minimal distance and adaptation time of our experiment are also compared with that of experiments on the level ground and on the stair furtherly. According to fundamental diagram, we found that the fast walking pedestrian flow moves more quickly even at very high density and the maximum flow increases 64.47 % than that of the normal one. The fast pedestrian flow will not be influenced by the shape of the corridor by comparing the fundamental diagram, while pedestrians tend to walk close to the inner edge of the corridor especially when pedestrian walk fast at circle corridor. This study can be helpful for the design and management of the facilities. It can also be used for the calibration of the model.

Suggested Citation

  • Zeng, Guang & Ye, Rui & Zhang, Jun & Cao, Shuchao & Song, Weiguo, 2023. "Macroscopic and microscopic movement properties of the fast walking pedestrian flow with single-file experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
  • Handle: RePEc:eee:phsmap:v:630:y:2023:i:c:s0378437123008312
    DOI: 10.1016/j.physa.2023.129276
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    References listed on IDEAS

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    1. Ujjal Chattaraj & Armin Seyfried & Partha Chakroborty, 2009. "Comparison Of Pedestrian Fundamental Diagram Across Cultures," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 393-405.
    2. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    3. Chen, Siyuan & Fu, Libi & Fang, Jie & Yang, Panyun, 2019. "The effect of obstacle layouts on pedestrian flow in corridors: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    4. Shahhoseini, Zahra & Sarvi, Majid, 2019. "Pedestrian crowd flows in shared spaces: Investigating the impact of geometry based on micro and macro scale measures," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 57-87.
    5. Zeng, Guang & Zhang, Jun & Ye, Rui & Cao, Shuchao & Song, Weiguo, 2022. "Pedestrian dynamics of single-file experiments with music considering different music and different instructions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    6. Fu, Zhijian & Li, Tao & Deng, Qiangqiang & Schadschneider, Andreas & Luo, Lin & Ma, Jian, 2021. "Effect of turning curvature on the single-file dynamics of pedestrian flow: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    7. Armin Seyfried & Oliver Passon & Bernhard Steffen & Maik Boltes & Tobias Rupprecht & Wolfram Klingsch, 2009. "New Insights into Pedestrian Flow Through Bottlenecks," Transportation Science, INFORMS, vol. 43(3), pages 395-406, August.
    8. Zeng, Guang & Cao, Shuchao & Liu, Chi & Song, Weiguo, 2018. "Experimental and modeling study on relation of pedestrian step length and frequency under different headways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 237-248.
    9. Ye, Rui & Zeng, Yiping & Zeng, Guang & Huang, Zhongyi & Li, Xiaolian & Fang, Zhiming & Song, Weiguo, 2021. "Pedestrian single-file movement on stairs under different motivations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
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