IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10670-d1188193.html
   My bibliography  Save this article

Research on Safety Design Strategy of Evacuation Stairs in Deep Underground Station Based on Human Heart Rate and Ascending Evacuation Speed

Author

Listed:
  • Gao Pan

    (Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China
    Smart Evacuation and Urban Safety Research Center, Chongqing University, Chongqing 400045, China
    Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing 400045, China)

  • Mingxi Peng

    (Faculty of Smart Urban Design, Chongqing Jianzhu College, Chongqing 400072, China)

  • Tiejun Zhou

    (Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China
    Smart Evacuation and Urban Safety Research Center, Chongqing University, Chongqing 400045, China
    Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing 400045, China)

  • Zhanzhi Wan

    (School of Art and Design, Chongqing Jiaotong University, Chongqing 400074, China)

  • Zheng Liang

    (Shanghai Urban Construction Design and Research Institute (Group) Co., Ltd., Shanghai 200125, China)

Abstract

An effective evacuation staircase safety design strategy is an important measure to ensure the safe evacuation of personnel in deep underground stations, and its design is influenced by human heart rate (HR) and ascending evacuation speed. This study clarifies the relationship between the ascending evacuation speed and human HR in deep underground stations by simulating an emergency situation in a deep underground station and observing individuals evacuating via stairs. A mathematical model of the ascending evacuation speed and HR at different heights is then established. Through the identification and prediction of intelligent safety systems, a safety design strategy for the rest area of evacuation stairs in deep underground stations was proposed. Rest areas of the stairs allow people in a state of fatigue to pause their ascent, preventing tired people from causing congestion and affecting the evacuation of less-tired people. This improves the overall evacuation speed and ensures the safety of life and property.

Suggested Citation

  • Gao Pan & Mingxi Peng & Tiejun Zhou & Zhanzhi Wan & Zheng Liang, 2023. "Research on Safety Design Strategy of Evacuation Stairs in Deep Underground Station Based on Human Heart Rate and Ascending Evacuation Speed," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10670-:d:1188193
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10670/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/13/10670/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Litao & Shen, Shifei, 2019. "A decay model for the fundamental diagram of pedestrian movement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    2. Zeng, Yiping & Song, Weiguo & Jin, Sha & Ye, Rui & Liu, Xiaodong, 2017. "Experimental study on walking preference during high-rise stair evacuation under different ground illuminations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 26-37.
    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. Bao, Yu & Huo, Feizhou, 2021. "An agent-based model for staircase evacuation considering agent’s rotational behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    2. Jiang, Yan-Qun & Zhou, Shu-Guang & Duan, Ya-Li & Huang, Xiao-Qian, 2023. "A viscous continuum model with smoke effect for pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    3. Wang, Xinjian & Liu, Zhengjiang & Wang, Jin & Loughney, Sean & Yang, Zaili & Gao, Xiaowei, 2021. "Experimental study on individual walking speed during emergency evacuation with the influence of ship motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    4. 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).
    5. 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).
    6. Huang, Zhongyi & Fan, Rui & Fang, Zhiming & Ye, Rui & Li, Xiaolian & Xu, Qingfeng & Gao, Huisheng & Gao, Yan, 2022. "Performance of occupant evacuation in a super high-rise building up to 583 m," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    7. 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).
    8. 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).
    9. Xia Zhong Zheng & Dan Tian & Ming Zhang & Chaoran Hu & Liyang Tong, 2019. "A Stairs Evacuation Model Considering the Pedestrian Merging Flows," Discrete Dynamics in Nature and Society, Hindawi, vol. 2019, pages 1-11, December.

    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:gam:jsusta:v:15:y:2023:i:13:p:10670-:d:1188193. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.