Spatiotemporal Heterogeneity of Metro Station Area Vitality and Driving Mechanisms of Built Environment Using Multi-Source Data Fusion: A Case Study of Shanghai City.

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Title:	Spatiotemporal Heterogeneity of Metro Station Area Vitality and Driving Mechanisms of Built Environment Using Multi-Source Data Fusion: A Case Study of Shanghai City.
Authors:	Ou, Zhiyue¹ ozy20230312@163.com, Fu, Zhongning² fuzhongning@163.com, Tong, Dongdong¹ 3514966755@qq.com, Yang, Xiangfei² yangxfei06@163.com, Bai, Yue¹ 2413475237@qq.com
Source:	IAENG International Journal of Applied Mathematics. Oct2025, Vol. 55 Issue 10, p3446-3462. 17p.
Subjects:	Built environment, Transit-oriented development, Subway stations, Urban planning, Multisensor data fusion, Cities & towns, Spatiotemporal processes
Geographic Terms:	Shanghai (China)
Abstract:	Accurately identifying the spatiotemporal driving mechanisms through which the built environment influences metro station area vitality is critical for advancing the coordinated development of urban human-land systems. Taking Shanghai--a representative megacity--as the case study, this research quantifies weekend station area vitality using Baidu heatmap data. A comprehensive built environment indicator system is constructed by integrating multi-source datasets, including points of interest (POIs), urban road networks, and streetscape imagery. To investigate the dynamic patterns and underlying drivers of vitality across spatial and temporal dimensions, this study employs a combination of Exploratory Spatiotemporal Data Analysis (ESTDA), Optimal-Parameter Geographic Detector (OPGD), and Spatiotemporal Geographically Weighted Regression (GTWR). The results indicate that station area vitality demonstrates strong migratory inertia and spatial lock-in effects over time, with a high likelihood of maintaining its previous state. Key influencing factors include the density of functional facilities, distance to the city center, closeness centrality, sky openness, and floor area ratio. Moreover, interactions among built environment variables manifest in three primary forms: single-factor enhancement, nonlinear enhancement, and nonlinear suppression. The effects of these variables exhibit pronounced spatiotemporal heterogeneity, with most factors exerting both positive and negative impacts depending on the specific spatial-temporal context. These findings provide important insights for urban spatial governance and offer strategic guidance for enhancing station area vitality within a transit-oriented development (TOD) framework. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Accurately identifying the spatiotemporal driving mechanisms through which the built environment influences metro station area vitality is critical for advancing the coordinated development of urban human-land systems. Taking Shanghai--a representative megacity--as the case study, this research quantifies weekend station area vitality using Baidu heatmap data. A comprehensive built environment indicator system is constructed by integrating multi-source datasets, including points of interest (POIs), urban road networks, and streetscape imagery. To investigate the dynamic patterns and underlying drivers of vitality across spatial and temporal dimensions, this study employs a combination of Exploratory Spatiotemporal Data Analysis (ESTDA), Optimal-Parameter Geographic Detector (OPGD), and Spatiotemporal Geographically Weighted Regression (GTWR). The results indicate that station area vitality demonstrates strong migratory inertia and spatial lock-in effects over time, with a high likelihood of maintaining its previous state. Key influencing factors include the density of functional facilities, distance to the city center, closeness centrality, sky openness, and floor area ratio. Moreover, interactions among built environment variables manifest in three primary forms: single-factor enhancement, nonlinear enhancement, and nonlinear suppression. The effects of these variables exhibit pronounced spatiotemporal heterogeneity, with most factors exerting both positive and negative impacts depending on the specific spatial-temporal context. These findings provide important insights for urban spatial governance and offer strategic guidance for enhancing station area vitality within a transit-oriented development (TOD) framework. [ABSTRACT FROM AUTHOR]
ISSN:	19929978