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

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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Bibliographic Details
Main Authors: Wanshu Wu, Xiangyu Liu, Yang Zhou, Kai Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Urban vitality
Built environment
Spatial heterogeneity
Multi-source big data
Multiscale geographically weighted regression
Online Access:https://doi.org/10.1038/s41598-025-06956-0
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https://doi.org/10.1038/s41598-025-06956-0

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