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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
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    References listed on IDEAS

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    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. 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.
    5. 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.
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