IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i20p9353-d1776472.html
   My bibliography  Save this article

Industrial Design-Driven Exploration of the Impact Mechnism of Fire Evacuation Efficiency in High-Rise Buildings

Author

Listed:
  • Kaiyuan Guan

    (Majoring in Industrial Design, Artificial Intelligence, Design Theory, and Methodology, Hanyang University, Seoul 04763, Republic of Korea)

  • Duanduan Liu

    (Majoring in Industrial Design, Artificial Intelligence, Design Theory, and Methodology, Hanyang University, Seoul 04763, Republic of Korea)

  • Xuejing Zhao

    (Art and Technology Major, School of Digital Media, Hebei Oriental University, Langfang 065001, China)

  • Yuexin Jin

    (Beijing Chaoyang District Fire Rescue Detachment, Beijing 100027, China)

Abstract

This study constructs a comprehensive analytical framework for fire evacuation efficiency in high-rise buildings based on risk management theory, environment–behavior relationship theory, and stress-cognition theory. Through a systematic literature review and three rounds of Delphi expert consultation, a measurement questionnaire for fire-escape behavior was developed, ultimately screening out 35 key measurement items. Data were collected from 248 residents of high-rise residential buildings in Beijing who had experienced fires. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) were employed to validate the model. The results show that the fire emergency management system (FEMS) and building-safety performance planning (BSPP) have a significant positive impact on escape response behavior (ERB), while situational panic psychological perception (SPPP) has a negative impact. The study also finds that emergency-response training and diversified escape-route design are key driving factors, and cognitive bias significantly affects situational panic psychological perception. This research provides empirical support for fire-escape management in high-rise buildings and develops a reliable measurement tool.

Suggested Citation

  • Kaiyuan Guan & Duanduan Liu & Xuejing Zhao & Yuexin Jin, 2025. "Industrial Design-Driven Exploration of the Impact Mechnism of Fire Evacuation Efficiency in High-Rise Buildings," Sustainability, MDPI, vol. 17(20), pages 1-32, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9353-:d:1776472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/20/9353/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/20/9353/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Na Chen & Ming Zhao & Kun Gao & Jun Zhao, 2021. "Experimental Study on the Evaluation and Influencing Factors on Individual’s Emergency Escape Capability in Subway Fire," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    3. Koufteros, Xenophon & Babbar, Sunil & Kaighobadi, Mehdi, 2009. "A paradigm for examining second-order factor models employing structural equation modeling," International Journal of Production Economics, Elsevier, vol. 120(2), pages 633-652, August.
    4. Lixiao Wang & Zhenya Zhang & Shijun Lu & Jianhu Wang, 2024. "Behavior Selection Models of Fire Evacuations with the Consideration of Adaptive Evacuation Psychologies," Sustainability, MDPI, vol. 16(9), pages 1-15, April.
    5. Xiaojuan Li & Weibin Chen & Chen Wang & Mukhtar A. Kassem, 2022. "Study on Evacuation Behavior of Urban Underground Complex in Fire Emergency Based on System Dynamics," Sustainability, MDPI, vol. 14(3), pages 1-33, January.
    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. Murilo S Baptista & Hai-Peng Ren & Johen C M Swarts & Rodrigo Carareto & Henk Nijmeijer & Celso Grebogi, 2012. "Collective Almost Synchronisation in Complex Networks," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-11, November.
    2. Chen, Changkun & Sun, Huakai & Lei, Peng & Zhao, Dongyue & Shi, Congling, 2021. "An extended model for crowd evacuation considering pedestrian panic in artificial attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    3. Ma, Jian & Song, Wei-guo & Zhang, Jun & Lo, Siu-ming & Liao, Guang-xuan, 2010. "k-Nearest-Neighbor interaction induced self-organized pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(10), pages 2101-2117.
    4. Zheng, Yaochen & Chen, Jianqiao & Wei, Junhong & Guo, Xiwei, 2012. "Modeling of pedestrian evacuation based on the particle swarm optimization algorithm," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4225-4233.
    5. Planinc Tanja & Kukanja Marko & Žnidaršič Anja, 2022. "The Interplay of Restaurant SMEs’ Entrepreneurial and Environmental Characteristics, Management of the Requisite Assets, and Operational Efficiency," Organizacija, Sciendo, vol. 55(2), pages 160-177, May.
    6. 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).
    7. Shiwakoti, Nirajan & Sarvi, Majid, 2013. "Understanding pedestrian crowd panic: a review on model organisms approach," Journal of Transport Geography, Elsevier, vol. 26(C), pages 12-17.
    8. 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.
    9. Liu, Qian, 2018. "A social force model for the crowd evacuation in a terrorist attack," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 315-330.
    10. 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.
    11. Li, Zexu & Fang, Lei, 2024. "On the ideal gas law for crowds with high pressure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    12. Zheng, Xiaoping & Cheng, Yuan, 2011. "Conflict game in evacuation process: A study combining Cellular Automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1042-1050.
    13. Chen, Juan & Luo, Qian & Wang, Qiao & Lo, Jacqueline T.Y. & Ma, Jian, 2024. "Experimental study on individual and crowd movement features around obstacles with different shape and size," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 645(C).
    14. Mohammed Mahmod Shuaib, 2016. "Modeling the Pedestrian Ability of Detecting Lanes and Lane Changing Behavior," Modern Applied Science, Canadian Center of Science and Education, vol. 10(7), pages 1-1, July.
    15. Chen, Kai & Zhao, Xiaodong & Huang, Yujie & Fang, Guoyu, 2025. "SocialTrans: Transformer based social intentions interaction for pedestrian trajectory prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 663(C).
    16. Shao, Zhi-Gang & Yang, Yan-Yan, 2015. "Effective strategies of collective evacuation from an enclosed space," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 34-39.
    17. Andrea Cavagna & Antonio Culla & Xiao Feng & Irene Giardina & Tomas S. Grigera & Willow Kion-Crosby & Stefania Melillo & Giulia Pisegna & Lorena Postiglione & Pablo Villegas, 2022. "Marginal speed confinement resolves the conflict between correlation and control in collective behaviour," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    18. Jiang, Qijie & McCabe, Scott, 2021. "Information technology and destination performance: Examining the role of dynamic capabilities," Annals of Tourism Research, Elsevier, vol. 91(C).
    19. Zhang, Yihao & Chai, Zhaojie & Lykotrafitis, George, 2021. "Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    20. Daganzo, Carlos F., 2007. "Urban gridlock: Macroscopic modeling and mitigation approaches," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 49-62, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2025:i:20:p:9353-:d:1776472. 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.