Spatial Characterization of Urban Vitality and the Association With Various Street Network Metrics From the Multi-Scalar Perspective

Vitality Closeness Street network
DOI: 10.3389/fpubh.2021.677910 Publication Date: 2021-06-07T05:15:03Z
ABSTRACT
In the context of rapid urbanization in developing countries, spatial organization cities has been progressively restructured over past decades. However, little done to understand how physical expansion affected reorganization socioeconomic spaces cities. This study explores association between various street network metrics and urban vitality it changes across different scales using geographic big data through a case Wuhan, China. Urban is characterized by four components: concentration, accessibility, livability, diversity. The new technique design analysis (sDNA) employed characterize metrics, including connectivity, closeness, betweenness, severance, efficiency, with 16 localized variables. Furthermore, stratified heterogeneity at multiple components investigated Geodetector tool. First, diversity decline distance from center, whereas livability fluctuating upward trend core. Second, correlation characteristics sensitive scales. Third, connectivity explains largest amount variance (over 40%), while both betweenness closeness explain roughly 28% vitality. Efficiency severance contribute 22 10% vitality, respectively. sheds light on mechanisms configurations multi-scalar perspective. Some implications are provided for improvement streets'
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