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Pedestrian single-file movement on stairs under different motivations

Author

Listed:
  • Ye, Rui
  • Zeng, Yiping
  • Zeng, Guang
  • Huang, Zhongyi
  • Li, Xiaolian
  • Fang, Zhiming
  • Song, Weiguo

Abstract

In this paper, we conduct a single-file experiment on stairs under two motivations, namely normal walking condition and fast walking condition at various densities. Totally four types of movements are analyzed and compared, namely normal walking-ascending movement, normal walking-descending movement, fast walking-ascending movement and fast walking-descending movement. Compared with the normal walking condition, in fast walking condition pedestrians move with higher velocity, which can be clearly observed in color-coded trajectories and time–space diagrams. We further make pairwise comparisons of density–velocity and headway–velocity relations for four types of movement, and critical parameters such as minimum headway, adaptation time, critical headway and free-flow velocity are extracted. It is found that the adaptation time is negatively correlated with free-flow velocity, indicating that pedestrians under higher movement motivation have a stronger ability to adapt their velocities. Besides, the values of time to collision are smaller for ascending movement than descending movement, apart from those at high density. In addition, we also analyze the following behavior through the relation between velocities of two adjacent pedestrians. The correlation analysis indicates that velocities are most correlated in fast walking-descending movement, and least correlated in normal walking-ascending movement. It is hoped that our study can be useful for the modeling of stair motion and the design of building stairway.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:phsmap:v:571:y:2021:i:c:s0378437121001217
    DOI: 10.1016/j.physa.2021.125849
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    References listed on IDEAS

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    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Ding, Ning & Chen, Tao & Zhu, Yu & Lu, Yang, 2021. "State-of-the-art high-rise building emergency evacuation behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    3. Liu, Xuan & Song, Weiguo & Zhang, Jun, 2009. "Extraction and quantitative analysis of microscopic evacuation characteristics based on digital image processing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(13), pages 2717-2726.
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    Citations

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    Cited by:

    1. 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.
    2. Tan, Bangkun & Xuan, Chenrui & Xie, Wei & Shi, Meng & Ma, Yi, 2024. "Dynamic characteristics of the sideways movement of pedestrians: An experimental study based on single-file experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    3. Li, Jinghai & Zheng, Xiaoping, 2023. "Experimental investigation of the stepping dynamics of upstairs walking under time pressure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    4. 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).
    5. Paetzke, Sarah & Boltes, Maik & Seyfried, Armin, 2022. "Influence of individual factors on fundamental diagrams of pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).

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