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Experimental study on the movement strategies of individuals in multidirectional flows

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  • Hu, Yanghui
  • Zhang, Jun
  • Song, Weiguo

Abstract

Multidirectional flows are common phenomena in reality but have been little investigated before. To investigate pedestrian behaviors and movement strategies in multidirectional flows, a series of experiments were carried out under different densities and typical pedestrian behaviors like detour, acceleration, following, etc. were observed. A linear relation between the length of walk path and the number of pedestrians was obtained. Three strategies were classified to describe pedestrian movement: straight (least effort) strategy, straight to detour (non-least strategy) strategy and detour (non-least strategy) strategy. From the experiment, more than 72% of pedestrians selected the straight strategy to reach their destinations. 8% – 17% pedestrians changed their initial straight strategy to detour strategy, which is related to the waiting time and the flow rate in the central area. Three strategies were compared with movement time and the length of walk path. These findings can be used to provide basics for simulation rules and parameters in multidirectional flows simulations and make evacuation plans according to different focuses in normal and emergency conditions.

Suggested Citation

  • Hu, Yanghui & Zhang, Jun & Song, Weiguo, 2019. "Experimental study on the movement strategies of individuals in multidirectional flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  • Handle: RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119311847
    DOI: 10.1016/j.physa.2019.122046
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    References listed on IDEAS

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    1. Cao, Shuchao & Lian, Liping & Chen, Mingyi & Yao, Ming & Song, Weiguo & Fang, Zhiming, 2018. "Investigation of difference of fundamental diagrams in pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 661-670.
    2. Dirk Helbing & Péter Molnár & Illés J Farkas & Kai Bolay, 2001. "Self-Organizing Pedestrian Movement," Environment and Planning B, , vol. 28(3), pages 361-383, June.
    3. Zhang, J. & Seyfried, A., 2014. "Comparison of intersecting pedestrian flows based on experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 316-325.
    4. Saberi, Meead & Aghabayk, Kayvan & Sobhani, Amir, 2015. "Spatial fluctuations of pedestrian velocities in bidirectional streams: Exploring the effects of self-organization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 434(C), pages 120-128.
    5. Alexandra Willis & Nathalia Gjersoe & Catriona Havard & Jon Kerridge & Robert Kukla, 2004. "Human Movement Behaviour in Urban Spaces: Implications for the Design and Modelling of Effective Pedestrian Environments," Environment and Planning B, , vol. 31(6), pages 805-828, December.
    6. William Lam & Jodie Lee & C. Cheung, 2002. "A study of the bi-directional pedestrian flow characteristics at Hong Kong signalized crosswalk facilities," Transportation, Springer, vol. 29(2), pages 169-192, May.
    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. Huang, Shenshi & Zhang, Teng & Lo, Siuming & Lu, Shouxiang & Li, Changhai, 2018. "Experimental study of individual and single-file pedestrian movement in narrow seat aisle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1023-1033.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Serge P. Hoogendoorn & W. Daamen, 2005. "Pedestrian Behavior at Bottlenecks," Transportation Science, INFORMS, vol. 39(2), pages 147-159, May.
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    2. Ren, Xiangxia & Zhang, Jun & Song, Weiguo & Cao, Shuchao, 2021. "Mechanisms of passing through short exits for the elderly and young adults," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 195-213.
    3. Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Fan, Minghao & Song, Weiguo, 2022. "The effect of obstacle layouts on regulating luggage-laden pedestrian flow through bottlenecks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    4. Ren, Xiangxia & Hu, Yanghui & Li, Hongliu & Zhang, Jun & Song, Weiguo & Xu, Han, 2022. "Simulation of building evacuation with different ratios of the elderly considering the influence of obstacle position," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).

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