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Experimental study on pedestrian behavior in right-angled corners: Influence of departure position and passage width

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  • Fu, Zhijian
  • Yang, Yunjia
  • Feng, Yujing
  • Xiong, Xingwen
  • Yuan, Zhilu
  • Luo, Lin

Abstract

This article presents an experimental investigation into pedestrian behavior while navigating through right-angled corners (defined as angles measuring exactly 90 degrees), emphasizing on the effects of departure position and path width, which have not been thoroughly explored in previous research. The study utilizes controlled experiments and introduces criteria for identifying the initiation and completion of turning maneuvers. Key findings reveal that participants adjust their trajectories based on their initial departure positions, with those farther from inner boundaries displaying more pronounced boundary-approaching behavior. Notably, the starting positions of turning are significantly influenced by the pedestrians’ initial departure positions, while the passage width has only a limited impact on the starting positions for turning. Conversely, the ending positions exhibit a consistent and substantial trend of increase with the widening of the path width, while showing minimal correlation with the initial departure position. Kinematic features, such as speed, acceleration, and angular speed, exhibit distinctive patterns during turning. These insights enhance our understanding of pedestrian behavior in corner navigation, offering implications for facility design and pedestrian dynamic modeling.

Suggested Citation

  • Fu, Zhijian & Yang, Yunjia & Feng, Yujing & Xiong, Xingwen & Yuan, Zhilu & Luo, Lin, 2024. "Experimental study on pedestrian behavior in right-angled corners: Influence of departure position and passage width," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
  • Handle: RePEc:eee:phsmap:v:633:y:2024:i:c:s0378437123009573
    DOI: 10.1016/j.physa.2023.129402
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    References listed on IDEAS

    as
    1. Wang, Jiayue & Boltes, Maik & Seyfried, Armin & Zhang, Jun & Ziemer, Verena & Weng, Wenguo, 2018. "Linking pedestrian flow characteristics with stepping locomotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 106-120.
    2. 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).
    3. 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).
    4. 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).
    5. Shi, Dongdong & Ma, Jian & Luo, Qian & Li, Xiaofei & Chen, Juan & Lin, Peng, 2021. "Fundamental diagrams of luggage-laden pedestrians ascending and descending stairs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    6. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    7. Qiu, Guo & Song, Rui & He, Shiwei & Yin, Weichuan, 2018. "The pedestrian flow characteristics of Y-shaped channel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 199-212.
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    Cited by:

    1. 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).

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