Spatial heterogeneity of built environment’s impact on urban vitality using multi-source big data and MGWR

Abstract This study proposes a novel interpretative framework combining multi-source big data with Multiscale Geographically Weighted Regression (MGWR) to examine spatial variations in built environment-vitality relationships. Using multi-source data including LBS big data, Weibo check-in data, Dian...

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Auteurs principaux:	Wanshu Wu, Xiangyu Liu, Yang Zhou, Kai Zhao
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-07-01
Collection:	Scientific Reports
Sujets:	Urban vitality Built environment Spatial heterogeneity Multi-source big data Multiscale geographically weighted regression
Accès en ligne:	https://doi.org/10.1038/s41598-025-06956-0
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