Unraveling Street Configuration Impacts on Urban Vibrancy: A GeoXAI Approach
Longzhu Xiao (),
Minyi Wu,
Qingqing Weng and
Yufei Li
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Longzhu Xiao: School of Architecture and Civil Engineering, Xiamen University, Xiamen 361000, China
Minyi Wu: School of Architecture and Civil Engineering, Xiamen University, Xiamen 361000, China
Qingqing Weng: CALB Technology (Shenzhen) Co., Ltd., Shenzhen 518000, China
Yufei Li: School of Architecture and Civil Engineering, Xiamen University, Xiamen 361000, China
Land, 2025, vol. 14, issue 7, 1-23
Abstract:
As a catalyst for sustainable urbanization, urban vibrancy drives human interactions, economic agglomeration, and resilient development through its spatial manifestation of diverse activities. While previous studies have emphasized the connection between built environment features—especially street network centrality—and urban vibrancy, the broader mechanisms through which the full spectrum of street configuration dimensions shape vibrancy patterns remain insufficiently examined. To address this gap, this study applies a GeoXAI approach that synergizes random forest modeling and GeoShapley interpretation to reveal the influence of street configuration on urban vibrancy. Leveraging multi-source geospatial data from Xiamen Island, China, we operationalize urban vibrancy through a composite index derived from three-dimensional proxies: life service review density, social media check-in intensity, and mobile device user concentration. Street configuration is quantified through a tripartite measurement system encompassing network centrality, detour ratio, and shape index. Our findings indicate that (1) street network centrality and shape index, as well as their interactions with location, emerge as the dominant influencing factors; (2) The relationships between street configuration and urban vibrancy are predominantly nonlinear, exhibiting clear threshold effects; (3) The impact of street configuration is spatially heterogeneous, as evidenced by geographically varying coefficients. The findings can enlighten urban planning and design by providing a basis for the development of nuanced criteria and context-sensitive interventions to foster vibrant urban environments.
Keywords: urban vibrancy; street configuration; GeoXAI; Xiamen; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:14:y:2025:i:7:p:1422-:d:1696297
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