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Abstract:
Urban Underground Space (UUS) is recognized as a critical contributor to urban safety, resilience, and sustainable development. As urban development transitions into the phase of stock renewal, issues such as the functional misalignment between aboveground and underground spaces, mismatched supply and demand, low utilization efficiency, and poor spatial quality have become increasingly prominent, particularly in urban block renewal projects. This study develops an Urban Underground Space Reuse Value Evaluation model (UUS-RVE) based on the coupling coordination degree of UUS at the street level and the regeneration potential of UUS at the community level. The objective is to identify value tiers for UUS regeneration and reuse, thereby providing scientific decision-making support for the precise and efficient utilization of underground spaces. Using Fangzhuang Subdistrict-the large residential area in Beijing-as a case study, the findings reveal a significant correlation between the reuse value level of UUS and its "distance to metro stations." Additionally, factors such as "proximity to metro station entrances, spatial ownership, functional diversity of the underground space, 15minute living circle accessibility, and average housing prices" exhibit strong associations with the reuse value of UUS. The reutilization potential of UUS is jointly influenced by the coupling and coordination degree of aboveground and underground functions (D) and the regeneration potential of underground space (P). Simultaneously, by integrating the "value assessment levels" and "community residents' needs," this study proposes strategies for the regeneration and reutilization of UUS from four perspectives: functional layout, functional diversity, management units, and multi-stakeholder implementation frameworks. These strategies aim to provide planning and decision-making support for advancing neighborhood renewal and urban diagnostic evaluations.
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TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
ISSN: 0886-7798
Year: 2025
Volume: 163
6 . 9 0 0
JCR@2022
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 1
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