Research on the Spatial Heterogeneity of Urban Vitality Driven by Social Big Data: A Case Study of Xi’an

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Analysis utilizing multi-scale geographically weighted regression reveals spatial clustering in urban vitality, suggesting land use impacts.

Urban vitality exhibits significant spatial clustering, indicating importance in planning and design.
Geographically weighted regression shows urban functional elements significantly affect vitality outcomes.
Negative impacts are noted from scenic spots and educational facilities, while public and life services remain neutral.
The MGWR model outperforms the OLS model, highlighting the need for spatial context in urban studies.

Hao Zhang (2025) studied this question.

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Analysis utilizing multi-scale geographically weighted regression reveals spatial clustering in urban vitality, suggesting land use impacts.