Impact of built environment on spatial differentiation of urban vitality at the subdistrict level based on MGWR:A case study of of Shenyang central urban area
The relationship between built environment and urban vitality is a key research topic in the field of urban and rural planning.This article takes subdistrict as the research unit and the central urban area of Shenyang as the research area.Using multi-source big data such as Baidu heatmap data,building contour data,road network data,remote sensing image data,and POI,and applying a multi-scale geographically weighted re-gression model(MGWR model),this article explores the impact mechanism of built environment indicators on urban vitality in five dimensions:density,diversity,design,destination accessibility,and transportation station distance.The research results indicate that:1)urban vitality exhibits a gradually weakening circular structure from the center to the periphery,and the built environment has a significant spatial heterogeneity in its impact on urban vitality;2)The five indicators of commercial service centrality,road network density,building dens-ity,functional mix,and subway station density have a strong positive impact on the urban vitality of each street,and there is a clear spatial differentiation pattern;3)The greening rate and bus stop density have a negat-ive impact on urban vitality on all streets,and the impact intensity of greening rate is higher than that of bus stop density;4)The impact of population density on urban vitality is negative except for Maguanqiao Street,and the coefficient of influence is relatively small,with a weak degree of influence.5)The density of road in-tersections has a positive impact on the urban vitality of the 12 streets in the western central urban area,with a small coefficient of influence and a weak degree of influence.However,it has a negative impact on the other streets,and the negative impact is significantly stronger than the positive impact.
built environmenturban vitalitysubdistrict levelurban central areaMGWR modelmulti-source big data
万方数据
