Study of multi-scale spatial relationship between road network form and urban vibrancy:taking Guangzhou City Center as an example
Urban vibrancy is an essential indicator for a city's social and economic progress,with its factors frequently examined.The road network,as a bridge connecting people,has always in-fluenced the urban vibrancy.However,the influence of road network morphology on the spatial heterogeneity of urban vitality has rarely been explored.In this study,based on geographic big data,network quantity penalized by distance(NQPD)and two phase betweenness(TPB)at multi-ple spatial scales are quantified to characterize road network morphology.Combined with other relevant built environment variables,a multi-scale geographically weighted regression(MGWR)model is constructed to explore the multi-scale spatial relationship between road network mor-phology and urban vitality in the central urban area of Guangzhou.The results indicate:①The spatial distribution of urban vitality is strongly correlated with the spatial distribution of road net-work morphology;②Compared with traditional ordinary least squares(OLS)and geographically weighted regression(GWR)models,the MGWR model can adequately express the spatial heter-ogeneity of explanatory variables on the dependent variable,wiht the regression results being more robust at different spatial scales;③NQPD exhibits the strong spatial heterogeneity at dif-ferent spatial scales and has a positive effect on urban vitality.As the spatial scale increases,the positive effect of proximity on urban vitality strengthens.In terms of spatial distribution,NQPD has a stronger positive impact on urban vitality in areas with strong road network dependence near commercial areas.TPB shows weak spatial heterogeneity at different spatial scales.As the spatial scale increases,the negative effect of TPB on urban vitality weakens.In terms of spatial distribution,TPB has a stronger negative impact on urban vitality in commercial areas;④Differ-ences in the road network form variables of different analysis radii can modify the impact of other built environment variables on urban vitality.
urban vibrancyroad network formbuilt environmentMGWR modelGuangzhou City
国家科技期刊平台
NSTL
万方数据
