19th WORLD CONFERENCE OF THE ASSOCIATED RESEARCH CENTRES FOR THE URBAN UNDERGROUND SPACE, Belgrade, Serbia, November 4-7, 2025. (Paper No: 3.1.147, pp. 459-466)
АУТОР(И) / AUTHOR(S): Shuilong Shen, Qian Zheng, Annan Zhou
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DOI: 10.46793/ACUUS2025.3.1.147
САЖЕТАК / ABSTRACT:
Urban underground spaces (UUS) are increasingly vulnerable to climatic change-induced disasters, e.g., flooding, subsidence, and extreme heat, necessitating advanced strategies for risk mitigation. This study integrates risk-informed and deterministic models into vulnerability evaluation frameworks to enhance risk assessment and early warning systems for UUS. Multi-source data, e.g., geological, hydrological, and urban infrastructure datasets are integrated into both risk-informed and deterministic models to quantify dynamic risks and spatial-temporal vulnerabilities. In the risk-informed model, a perception-based survey is conducted to evaluate stakeholders’ awareness of underground risks to reveal discrepancies between perceived and actual threats. The inundation disaster in Zhengzhou in July 2021 is used a site case to conduct the analysis. Results demonstrate that risk-informed vulnerability evaluation with participatory perception data significantly improves risk prediction accuracy and public preparedness. The proposed framework offers scalable solutions for cities globally and advocates for smarter integration of technology, infrastructure, and community engagement in climate adaptation strategies.
КЉУЧНЕ РЕЧИ / KEYWORDS:
Climatic change, urban underground space, risk assessment, risk-formed model, vulnerability evaluation
ПРОЈЕКАТ / ACKNOWLEDGEMENT:
The research work was funded by Guangdong Provincial Basic and Applied Basic Research Fund Committee (2022A1515240073).
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