IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v506y2018icp661-670.html
   My bibliography  Save this article

Investigation of difference of fundamental diagrams in pedestrian flow

Author

Listed:
  • Cao, Shuchao
  • Lian, Liping
  • Chen, Mingyi
  • Yao, Ming
  • Song, Weiguo
  • Fang, Zhiming

Abstract

In this paper the difference of fundamental diagrams in pedestrian flow is investigated. A new measurement method in which the moving back is considered as negative contribution to pedestrian flow is proposed based on previous study. Firstly the comparison of different measurement methods is made and small discrepancy in the fundamental diagrams of the same experiment is observed. In order to remove the effect of different measurement methods on final results, we compare the fundamental diagrams of Chinese and German experiments by using the same measurement method and surprisingly large difference is found. From the analysis of experimental video, it is observed the motivation and competitiveness of participants in two experiments are quite different, which plays a dominant role on the large difference between fundamental diagrams. To make it more tenable, we further analyze two German experiments (Hermes experiment and BaSiGo experiment) in which the participants have the same average age. The free velocity is adopted to measure pedestrian’s motivation in the experiment and the analysis results confirm that the discrepancy of motivation and competitiveness of participants in different experiments leads to the large difference in the fundamental diagrams. The study may be helpful to understand the effect of pedestrian behavior on global flow and microscopic dynamics.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:phsmap:v:506:y:2018:i:c:p:661-670
    DOI: 10.1016/j.physa.2018.04.084
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118305120
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2018.04.084?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Liao, Weichen & Tordeux, Antoine & Seyfried, Armin & Chraibi, Mohcine & Drzycimski, Kevin & Zheng, Xiaoping & Zhao, Ying, 2016. "Measuring the steady state of pedestrian flow in bottleneck experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 248-261.
    2. 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.
    3. 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.
    4. Nicolas, Alexandre & Bouzat, Sebastián & Kuperman, Marcelo N., 2017. "Pedestrian flows through a narrow doorway: Effect of individual behaviours on the global flow and microscopic dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 30-43.
    5. 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.
    6. Serge P. Hoogendoorn & W. Daamen, 2005. "Pedestrian Behavior at Bottlenecks," Transportation Science, INFORMS, vol. 39(2), pages 147-159, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Zeng, Guang & Zhang, Jun & Ye, Rui & Cao, Shuchao & Song, Weiguo, 2022. "Pedestrian dynamics of single-file experiments with music considering different music and different instructions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    3. Zhang, Hui & Xu, Jie & Jia, Limin & Shi, Yihan, 2021. "Research on walking efficiency of passengers around corner of subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    4. 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).
    5. Chen, Siyuan & Fu, Libi & Fang, Jie & Yang, Panyun, 2019. "The effect of obstacle layouts on pedestrian flow in corridors: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    6. Shabna SayedMohammed & Anshi Verma & Charitha Dias & Wael Alhajyaseen & Abdulkarim Almukdad & Kayvan Aghabayk, 2022. "Crowd Evacuation through Crossing Configurations: Effect of Crossing Angles and Walking Speeds on Speed Variation and Evacuation Time," Sustainability, MDPI, vol. 14(22), pages 1-21, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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.
    3. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    4. 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.
    5. Wang, Peng & Cao, Shuchao & Yao, Ming, 2019. "Fundamental diagrams for pedestrian traffic flow in controlled experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 266-277.
    6. Bosina, Ernst & Weidmann, Ulrich, 2017. "Estimating pedestrian speed using aggregated literature data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 1-29.
    7. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    8. Sun, Lishan & Luo, Wei & Yao, Liya & Qiu, Shi & Rong, Jian, 2017. "A comparative study of funnel shape bottlenecks in subway stations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 14-27.
    9. Shi, Xiaomeng & Xue, Shuqi & Feliciani, Claudio & Shiwakoti, Nirajan & Lin, Junkai & Li, Dawei & Ye, Zhirui, 2021. "Verifying the applicability of a pedestrian simulation model to reproduce the effect of exit design on egress flow under normal and emergency conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    10. Krbálek, Milan & Hrabák, Pavel & Bukáček, Marek, 2018. "Pedestrian headways — Reflection of territorial social forces," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 38-49.
    11. 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.
    12. Lian, Liping & Song, Weiguo & Yuen, Kwok Kit Richard & Telesca, Luciano, 2018. "Investigating the time evolution of some parameters describing inflow processes of pedestrians in a room," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 77-88.
    13. Liao, Weichen & Tordeux, Antoine & Seyfried, Armin & Chraibi, Mohcine & Drzycimski, Kevin & Zheng, Xiaoping & Zhao, Ying, 2016. "Measuring the steady state of pedestrian flow in bottleneck experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 248-261.
    14. He, Mengchen & Wang, Qiao & Chen, Juan & Xu, Shiwei & Ma, Jian, 2023. "Modeling pedestrian walking behavior in the flow field with moving walkways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    15. 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.
    16. Zhang, X.L. & Weng, W.G. & Yuan, H.Y. & Chen, J.G., 2013. "Empirical study of a unidirectional dense crowd during a real mass event," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(12), pages 2781-2791.
    17. 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).
    18. Tian, Huan-huan & Wei, Yan-fang & Dong, Li-yun & Xue, Yu & Zheng, Rong-sen, 2018. "Resolution of conflicts in cellular automaton evacuation model with the game-theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 991-1006.
    19. Haghani, Milad, 2021. "The knowledge domain of crowd dynamics: Anatomy of the field, pioneering studies, temporal trends, influential entities and outside-domain impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    20. Yurong Mo & Shiyao Qiu & Jiali Tang & Zhihong Li, 2024. "Investigating the Dynamics of Pedestrian Flow through Different Transition Bottlenecks," Sustainability, MDPI, vol. 16(4), pages 1-17, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:506:y:2018:i:c:p:661-670. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.