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Research on Design of Underground Space for Refuge Based on Environmental Psychology and Virtual Reality

Author

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  • Yufei Liu

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Yukuan Ou-Yang

    (The Architectural Design & Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China)

  • Jian Wang

    (The Architectural Design & Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China
    Center for Balance Architecture of Zhejiang University, Hangzhou 310028, China)

  • Lei Wang

    (The Architectural Design & Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China)

  • Bing Li

    (The Architectural Design & Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China
    Center for Balance Architecture of Zhejiang University, Hangzhou 310028, China)

  • Zimo Chen

    (Jangho College of Architecture, Northeastern University, Shenyang 110819, China)

Abstract

Underground spaces hold significant potential for enhancing urban resilience against disasters, a key dimension of sustainable urban development. However, due to persistent associations of underground environments with negative psychological perceptions, these spaces—despite their superior protective advantages—are often overlooked as viable refuge options during emergencies. Guided by the theoretical framework of environmental psychology, this research focuses on underground parking garages in Hangzhou, China as its primary research object. The target participants are residents of Hangzhou aged 18–58 years (encompassing diverse occupations such as students, office workers, and service industry employees), who represent potential users of such spaces as refuges. To explore human behavioral patterns, psychological responses, and needs related to underground refuge spaces, we employed a two-phase methodology: first, a questionnaire survey to capture broader behavioral tendencies and subjective perceptions; complementing this, Virtual Reality (VR) experiments—a more immersive method—utilizing semantic analysis and the Likert scale to assess psychological indicators influenced by underground environments. The experimental data were analyzed via mean analysis, correlation analysis, and multiple linear regression analysis to identify the key environmental factors that influence psychological responses, as well as their optimal design parameters. These analyses reveal significant correlations between various environmental factors and psychological indicators. This research synthesizes individuals’ psychological tendencies in underground environments and proposes quantitative physical design guidelines to meet fundamental psychological needs. The findings provide theoretical and practical support for the design of underground space for refuge and the development of sustainable urban emergency shelter systems, thereby contributing to resilient and sustainable urban development.

Suggested Citation

  • Yufei Liu & Yukuan Ou-Yang & Jian Wang & Lei Wang & Bing Li & Zimo Chen, 2025. "Research on Design of Underground Space for Refuge Based on Environmental Psychology and Virtual Reality," Sustainability, MDPI, vol. 17(16), pages 1-32, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7527-:d:1728735
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    References listed on IDEAS

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    1. Yuting Wu & Hongyan Wen & Meichen Fu, 2024. "A Review of Research on the Value Evaluation of Urban Underground Space," Land, MDPI, vol. 13(4), pages 1-28, April.
    2. Volchko, Yevheniya & Norrman, Jenny & Ericsson, Lars O. & Nilsson, Kristina L. & Markstedt, Anders & Öberg, Maria & Mossmark, Fredrik & Bobylev, Nikolai & Tengborg, Per, 2020. "Subsurface planning: Towards a common understanding of the subsurface as a multifunctional resource," Land Use Policy, Elsevier, vol. 90(C).
    3. Jelle Brands & Jochem Milan Jansen & Janne van Doorn & Remco Spithoven, 2025. "Measuring and Explaining Situational Fear of Crime: An Experimental Study Into the Effects of Disorder, Using Virtual Reality and Multimodal Measurement," The British Journal of Criminology, Centre for Crime and Justice Studies, vol. 65(3), pages 673-690.
    4. Michael K. Lindell & Ronald W. Perry, 2012. "The Protective Action Decision Model: Theoretical Modifications and Additional Evidence," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 616-632, April.
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