IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v521y2019icp649-660.html
   My bibliography  Save this article

Modeling and simulating the matching behavior of pedestrian flow at training school during the pickup period after class

Author

Listed:
  • Tang, Tie-Qiao
  • Xie, Chuan-Zhi
  • Wang, Tao
  • Zhang, Jian

Abstract

Training schools widely exist in China and congestion occurs during the pickup period. However, most researches focus on investigating the pedestrian flow in classroom. In this paper, we study the adult–child matching behavior and each pedestrian’s motion (including child and adult) at a training school during the pickup period. Based on the scenario at the training school, and the features of children’s and adults’ motions, we design three strategies to describe the adult–child matching behavior, and then incorporate the matching behavior into a CA (cellular automaton) model and propose an extended CA model to study each pedestrian’s motion under each strategy during the pickup period. The numerical results indicate that each strategy has great effects on the matching behavior and the evacuation efficiency during the pickup period. The results can help administrators to design effective evacuation strategy at training school during the pickup period (especially when an emergency occurs).

Suggested Citation

  • Tang, Tie-Qiao & Xie, Chuan-Zhi & Wang, Tao & Zhang, Jian, 2019. "Modeling and simulating the matching behavior of pedestrian flow at training school during the pickup period after class," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 649-660.
    • Handle: RePEc:eee:phsmap:v:521:y:2019:i:c:p:649-660
    DOI: 10.1016/j.physa.2019.01.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119300627
    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.2019.01.059?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. Ji, Xiangfeng & Zhou, Xuemei & Ran, Bin, 2013. "A cell-based study on pedestrian acceleration and overtaking in a transfer station corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1828-1839.
    2. von Krüchten, Cornelia & Schadschneider, Andreas, 2017. "Empirical study on social groups in pedestrian evacuation dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 129-141.
    3. Fang, Zhiming & Song, Weiguo & Zhang, Jun & Wu, Hao, 2010. "Experiment and modeling of exit-selecting behaviors during a building evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 815-824.
    4. Liu, Shaobo & Yang, Lizhong & Fang, Tingyong & Li, Jian, 2009. "Evacuation from a classroom considering the occupant density around exits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(9), pages 1921-1928.
    5. Yongxing Li & Hongfei Jia & Jun Li & Jian Gong & Kechao Sun, 2017. "Pedestrian evacuation behavior analysis and simulation in multi-exits case," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(10), pages 1-15, October.
    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. Jiang, Yan-Qun & Hu, Ying-Gang & Huang, Xiaoqian, 2022. "Modeling pedestrian flow through a bottleneck based on a second-order continuum model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

    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 & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    2. Xie, Chuan-Zhi & Tang, Tie-Qiao & Hu, Peng-Cheng & Chen, Liang, 2022. "Observation and cellular-automaton based modeling of pedestrian behavior on an escalator," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    3. Li, Jun & Fu, Siyao & He, Haibo & Jia, Hongfei & Li, Yanzhong & Guo, Yi, 2015. "Simulating large-scale pedestrian movement using CA and event driven model: Methodology and case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 304-321.
    4. Kaji, Masaru & Inohara, Takehiro, 2017. "Cellular automaton simulation of unidirectional pedestrians flow in a corridor to reproduce the unique velocity profile of Hagen–Poiseuille flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 85-95.
    5. Fu, Zhijian & Zhou, Xiaodong & Zhu, Kongjin & Chen, Yanqiu & Zhuang, Yifan & Hu, Yuqi & Yang, Lizhong & Chen, Changkun & Li, Jian, 2015. "A floor field cellular automaton for crowd evacuation considering different walking abilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 294-303.
    6. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    7. Haghani, Milad & Sarvi, Majid, 2017. "Stated and revealed exit choices of pedestrian crowd evacuees," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 238-259.
    8. Milad Haghani & Majid Sarvi & Zahra Shahhoseini & Maik Boltes, 2016. "How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans’ Navigational Escape Decisions in Emergencies," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-24, November.
    9. Chen, Anying & He, Jingtao & Liang, Manchun & Su, Guofeng, 2020. "Crowd response considering herd effect and exit familiarity under emergent occasions: A case study of an evacuation drill experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    10. Zhang, Dezhen & Huang, Gaoyue & Ji, Chengtao & Liu, Huiying & Tang, Ying, 2021. "Pedestrian evacuation modeling and simulation in multi-exit scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    11. Yue, Hao & Zhang, Junyao & Chen, Wenxin & Wu, Xinsen & Zhang, Xu & Shao, Chunfu, 2021. "Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    12. Kurdi, Heba & Almulifi, Asma & Al-Megren, Shiroq & Youcef-Toumi, Kamal, 2021. "A balanced evacuation algorithm for facilities with multiple exits," European Journal of Operational Research, Elsevier, vol. 289(1), pages 285-296.
    13. Kayvan Aghabayk & Alireza Soltani & Nirajan Shiwakoti, 2022. "Investigating Pedestrians’ Exit Choice with Incident Location Awareness in an Emergency in a Multi-Level Shopping Complex," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    14. Li, Yang & Chen, Maoyin & Zheng, Xiaoping & Dou, Zhan & Cheng, Yuan, 2020. "Relationship between behavior aggressiveness and pedestrian dynamics using behavior-based cellular automata model," Applied Mathematics and Computation, Elsevier, vol. 371(C).
    15. Zheng, Xiaoping & Li, Wei & Guan, Chao, 2010. "Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(11), pages 2177-2188.
    16. Shang, Pan & Li, Ruimin & Guo, Jifu & Xian, Kai & Zhou, Xuesong, 2019. "Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 135-167.
    17. Li, Shengnan & Li, Xingang & Qu, Yunchao & Jia, Bin, 2015. "Block-based floor field model for pedestrian’s walking through corner," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 337-353.
    18. Shi, Xiaomeng & Xue, Shuqi & Shiwakoti, Nirajan & Li, Dawei & Ye, Zhirui, 2022. "Examining the effects of exit layout designs on children pedestrians’ exit choice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 602(C).
    19. Zhao, Ruifeng & Zhai, Yue & Qu, Lu & Wang, Ruhao & Huang, Yaoying & Dong, Qi, 2021. "A continuous floor field cellular automata model with interaction area for crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    20. Fang, Zhi-Ming & Lv, Wei & Jiang, Li-Xue & Xu, Qing-Feng & Song, Wei-Guo, 2016. "Modeling and assessment of civil aircraft evacuation based on finer-grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 102-112.

    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:521:y:2019:i:c:p:649-660. 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.