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The impact of spatial redundancy and merging conflicts on crowd movement patterns: An empirical study

Author

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  • Ma, Haonan
  • Li, Wenhang
  • Gong, Jianhua
  • Li, Yabin
  • Qin, Cheng
  • Zhang, Jingyi

Abstract

Modern urbanization has led to increased crowd gatherings, heightening crowd safety risks in public infrastructure. To enhance safety management, investigating crowd flow patterns in typical building structures is crucial. Merging scenarios are frequently scrutinized as dangerous bottlenecks prone to severe crowd accidents. Extensive research on corridor structural design and merging patterns’ effects on merging flows has attempted high-density designs to ensure the emergence of merging phenomena, while few studies have focused on the effect of redundant space on pedestrian decision-making processes. Spatial redundancy is a relative concept, determined jointly by the available space within the corridor and the number of pedestrians. Under high spatial redundancy, pedestrian decisions are less constrained by spatial pressure, enabling more behavioral emergence and helping to more comprehensively understand pedestrian decision-making processes, which has important research significance. To address this, we conducted a controlled crowd experiment featuring corridors with two main-corridor widths and three merging angles, examining pedestrian flows under two regimes: with and without merging. We observed that a layered-flow pattern with low inter-stream coupling emerged under high spatial redundancy, whereas an interwoven-flow pattern with pronounced trajectory overlap appeared under low spatial redundancy. Additionally, merging induced anticipatory avoidance phenomena, with trajectories shifting significantly toward one side. Density and speed analyses revealed that high spatial redundancy design in the merging area reduces density aggregation effects caused by merging, thereby effectively enhancing traffic efficiency. These findings offer new insights into pedestrian movement strategies and provide an empirical basis for optimizing corridor design and calibrating crowd simulation models.

Suggested Citation

  • Ma, Haonan & Li, Wenhang & Gong, Jianhua & Li, Yabin & Qin, Cheng & Zhang, Jingyi, 2026. "The impact of spatial redundancy and merging conflicts on crowd movement patterns: An empirical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 684(C).
  • Handle: RePEc:eee:phsmap:v:684:y:2026:i:c:s0378437126000051
    DOI: 10.1016/j.physa.2026.131269
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    References listed on IDEAS

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    1. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    2. Jun Zhang & W. Klingsch & A. Schadschneider & A. Seyfried, 2013. "Experimental Study of Pedestrian Flow Through a T-Junction," Springer Books, in: Valery V. Kozlov & Alexander P. Buslaev & Alexander S. Bugaev & Marina V. Yashina & Andreas Schadsch (ed.), Traffic and Granular Flow '11, edition 127, pages 241-249, Springer.
    3. Yu, Hanchen & Jiang, Nan & Shi, Jixin & Yang, Hongyun & Lee, Eric Wai Ming & Yang, Lizhong, 2025. "The effects of upstream guardrail layouts on regulating pedestrian merging flow," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
    4. Yu, Hanchen & Jiang, Nan & Yang, Hongyun & Shi, Jixin & Han, Zhenyu & Lee, Eric Wai Ming & Yang, Lizhong, 2024. "Empirical analysis of pedestrian merging process with different merging angles and merging layouts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 656(C).
    5. Fu, Libi & Chen, Yunqian & Qin, Huigui & Chen, Qiyi & He, Yangjian & Shi, Yongqian, 2023. "Dynamics of merging flow involving luggage-laden pedestrians in a Y-shaped corridor: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    6. Lian, Liping & Ye, Rui & Xia, Long & Song, Weiguo & Zhang, Jun & Li, Xiaolian, 2022. "Pedestrian dynamics in single-file merging flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    7. Kayvan Aghabayk & Kiarash Radmehr & Nirajan Shiwakoti, 2020. "Effect of Intersecting Angle on Pedestrian Crowd Flow under Normal and Evacuation Conditions," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    8. Luo, Lin & Luo, Yangqi & Feng, Yujing & Li, Tao & Fu, Zhijian, 2022. "Experimental investigation on pedestrian–bicycle mixed merging flow in T-junction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    9. Shi, Yihan & Xu, Jie & Zhang, Hui & Jia, Limin & Qin, Yong, 2022. "Empirical investigation on turning behavior of passengers in subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    10. 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).
    11. Ye, Rui & Wang, Qiao & Zeng, Guang & Huang, Zhongyi & Gao, Yan & Fang, Zhiming, 2022. "Trajectory-based analysis on pedestrian merging flow on a stair landing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    12. 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.
    13. Steffen, B. & Seyfried, A., 2010. "Methods for measuring pedestrian density, flow, speed and direction with minimal scatter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(9), pages 1902-1910.
    14. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    15. Shi, Yihan & Xu, Jie & Zhang, Hui & Jia, Limin & Qin, Yong, 2022. "Walking model on passenger in merging passage of subway station considering overtaking behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    16. Liang, Mengdi & Xu, Jie & Jia, Limin & Qin, Yong, 2020. "An improved model of passenger merging in a Y-shaped passage," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    17. Chen, Chang-Kun & Li, Jian & Zhang, Dong, 2012. "Study on evacuation behaviors at a T-shaped intersection by a force-driving cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2408-2420.
    18. 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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