Exploring metro vibrancy and its relationship with built environment: a cross-city comparison using multi-source urban data

• Published in: Geo-spatial information science Vol. 25; no. 2; pp. 182 - 196
• Main Authors: Tu, Wei, Zhu, Tingting, Zhong, Chen, Zhang, Xiaohu, Xu, Yang, Li, Qingquan
• Format: Journal Article
• Language: English
• Published: Wuhan Taylor & Francis 03.04.2022; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Big Data; Buildings; Built environment; Cellular telephones; Cities; Environmental factors; Independent variables; Informatics; Infrastructure; Laboratories; Land use; Megacities; Neighborhood blight; Neighborhoods; Regression analysis; Ridership; smart card data; Smart cards; social media; Social networks; Spatial distribution; spatial lag model; spatial-autocorrelation; Subway stations; Urban areas; Urban environments; Urban planning; Urban vibrancy; Weighting methods

Recent urban transformations have led to critical reflections on the blighted urban infrastructures and called for re-stimulating vital urban places. Especially, the metro has been recognized as the backbone infrastructure for urban mobility and the associated economy agglomeration. To date, limited...