August 22, 2025BuildingsOpen Access

The Impact of Built Environment on Urban Vitality—A Multi-Scale Geographically Weighted Regression Analysis in the Case of Shenyang, China

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Geographically weighted regression reveals urban vitality correlations in Shenyang, indicating spatial disparities in built environment effects.

Urban vitality positively correlates with functional mixture degree, bus stop density, and subway station density, showing key urban dynamics.
Regression analysis showed differentiated effects of floor area ratio and vegetation coverage on vitality in core and peripheral areas of Shenyang.
Employing multi-scale geographically weighted regression, the study modeled spatial heterogeneity impacts for urban planning at the local level.
Findings suggest location-specific interventions based on geospatial analysis are essential for enhancing urban sustainability.

Lu et al. (2025) studied this question.

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Geographically weighted regression reveals urban vitality correlations in Shenyang, indicating spatial disparities in built environment effects.