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Comparison Of Pedestrian Fundamental Diagram Across Cultures

Author

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  • UJJAL CHATTARAJ

    (Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany;
    Indian Institute of Technology Kanpur, Kanpur 208 016, India)

  • ARMIN SEYFRIED

    (Jülich Supercomputing Centre, Forschungszentrum Jülich, 52425 Jülich, Germany)

  • PARTHA CHAKROBORTY

    (Indian Institute of Technology Kanpur, Kanpur 208 016, India)

Abstract

The relation between speed and density is connected with every self-organization phenomenon of pedestrian dynamics and offers the opportunity to analyze them quantitatively. But even for the simplest systems, like pedestrian streams in corridors, this fundamental relation is not completely understood. A comparison of data from literature shows that specifications in text books as well as measurements under various experimental conditions differ significantly. In this contribution it is studied whether cultural influences and length of the corridor can be the causes for these deviations. To reduce as much as possible unintentional effects, a system is chosen with reduced degrees of freedom and thus the most simple system, namely the movement of pedestrians along a line under closed boundary conditions. It is found that the speed of Indian test persons is less dependent on density than the speed of German test persons. Surprisingly the more unordered behavior of the Indians is more effective than the ordered behavior of the Germans. This may be due to differences in their self-organization behavior. Without any statistical measure one cannot conclude about whether there are differences or not. By hypothesis test it is found quantitatively that these differences exist, suggesting cultural differences in the fundamental diagram of pedestrians.

Suggested Citation

  • 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.
    • Handle: RePEc:wsi:acsxxx:v:12:y:2009:i:03:n:s0219525909002209
    DOI: 10.1142/S0219525909002209
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    3. 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.
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    12. Genan Dai & Hu Huang & Xiaojiang Peng & Bowen Zhang & Xianghua Fu, 2024. "ARFGCN: Adaptive Receptive Field Graph Convolutional Network for Urban Crowd Flow Prediction," Mathematics, MDPI, vol. 12(11), pages 1-14, June.
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    15. Xue, Shuqi & Shiwakoti, Nirajan, 2023. "A meta-synthesis of experimental studies of pedestrian movement in single-file flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    16. Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    17. Hu, Xiangmin & Chen, Tao & Deng, Kaifeng & Wang, Guanning, 2023. "Effects of aggressiveness on pedestrian room evacuation using extended cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    18. Zeng, Tian & Wei, Yidong & Hu, Zuoan & Ma, Yi, 2023. "Comparison study in single-file pedestrian flow dynamics: Foot motion perspective versus head motion perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    19. 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).
    20. Gabriele Montecchiari & Gabriele Bulian & Paolo Gallina, 2018. "Towards real-time human participation in virtual evacuation through a validated simulation tool," Journal of Risk and Reliability, , vol. 232(5), pages 476-490, October.
    21. 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).
    22. Guo, Ning & Ling, Xiang & Ding, Zhongjun & Long, Jiancheng & Zhu, Kongjin, 2019. "An improved heuristic-based model to reproduce pedestrian dynamic on the single-file staircase," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    23. Thompson, Peter & Tavana, Hossein & Goulding, Cathy & Frantzich, Håkan & Boyce, Karen & Nilsson, Daniel & Larsson, Gabriel & Friholm, Jesper & McGrath, Denise, 2022. "Experimental analyses of step extent and contact buffer in pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).

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