IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v602y2022ics0378437122004423.html
   My bibliography  Save this article

Modelling the walking behavior of pedestrians in the junction with chamfer zone of subway station

Author

Listed:
  • Zhang, Hui
  • Xu, Jie
  • Jia, Limin
  • Shi, Yihan

Abstract

More and more passengers prefer to travel by subway system, and congestion is inevitable in the routine operation of subway stations. To alleviate congestion, junctions with chamfer zone (JCZs) are built in subway stations. The main intention of this work is to investigate the improvement of walking efficiency by the chamfer zone. Firstly, the specific walking behaviors of pedestrians in JCZs are investigated, and the principle of detour behavior is proposed. Secondly, a walking model considering the detour behavior is developed for pedestrians traversing the JCZ, and model parameters are calibrated by the Response Surface Methodology (RSM). Then, the influences of chamfer geometry on walking speed, walking time and time headways are simulated and analyzed. Results indicate that the walking efficiency will be improved by about 7.1% when the chamfer length is 1 meter. The interference among pedestrians is lower, and most time headways fall within the range of 0.1 ∼ 0.3 s, which means pedestrians walk steadily in the JCZ. Finally, the walking parameters of pedestrians in JCZs and corners are compared in various scenarios, and the matching correlation between chamfer length and turning angle is obtained.

Suggested Citation

  • Zhang, Hui & Xu, Jie & Jia, Limin & Shi, Yihan, 2022. "Modelling the walking behavior of pedestrians in the junction with chamfer zone of subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
  • Handle: RePEc:eee:phsmap:v:602:y:2022:i:c:s0378437122004423
    DOI: 10.1016/j.physa.2022.127656
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437122004423
    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.2022.127656?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. Xu Chen & Martin Treiber & Venkatesan Kanagaraj & Haiying Li, 2018. "Social force models for pedestrian traffic – state of the art," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 625-653, September.
    2. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    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. 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.
    5. Serge P. Hoogendoorn & W. Daamen, 2005. "Pedestrian Behavior at Bottlenecks," Transportation Science, INFORMS, vol. 39(2), pages 147-159, May.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. 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.
    3. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    4. 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).
    5. 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.
    6. Subramanian, Gayathri Harihara & Choubey, Nipun & Verma, Ashish, 2022. "Modelling and simulating serpentine group behaviour in crowds using modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    7. 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.
    8. Li, Maosheng & Shu, Panpan & Xiao, Yao & Wang, Pu, 2021. "Modeling detour decision combined the tactical and operational layer based on perceived density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    9. Liu, Qiujia & Lu, Linjun & Zhang, Yijing & Hu, Miaoqing, 2022. "Modeling the dynamics of pedestrian evacuation in a complex environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    10. 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.
    11. 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).
    12. 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).
    13. Jiang, Yan-Qun & Zhang, Wei & Zhou, Shu-Guang, 2016. "Comparison study of the reactive and predictive dynamic models for pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 51-61.
    14. Shi, Xiaomeng & Ye, Zhirui & Shiwakoti, Nirajan & Tang, Dounan & Lin, Junkai, 2019. "Examining effect of architectural adjustment on pedestrian crowd flow at bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 350-364.
    15. Sun, Cheng & Sun, Shi & Qu, Dagang & Zhu, Xun & Liu, Ying, 2023. "Modeling of pedestrian turning behavior and prediction of pedestrian density distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    16. 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.
    17. Dirk Helbing & Pratik Mukerji, "undated". "Crowd Disasters as Systemic Failures: Analysis of the Love Parade Disaster," Working Papers ETH-RC-12-010, ETH Zurich, Chair of Systems Design.
    18. 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).
    19. Flötteröd, Gunnar & Lämmel, Gregor, 2015. "Bidirectional pedestrian fundamental diagram," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 194-212.
    20. Fang, Zhi-Ming & Song, Wei-Guo & Liu, Xuan & Lv, Wei & Ma, Jian & Xiao, Xia, 2012. "A continuous distance model (CDM) for the single-file pedestrian movement considering step frequency and length," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(1), pages 307-316.

    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:602:y:2022:i:c:s0378437122004423. 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.