Spatio-Temporal Characteristics of the Impact of Built Environment on Street Vitality in the Main Urban Area of Wuhan City:A Study Based on Multi-Scale Geographically Weighted Regression
Exploring the impact of built environment on street vitality is the key to improving the quality of urban public space.This study takes the main urban area of Wuhan as an example.Firstly,it measures the vitality of streets in multiple time periods based on population thermal data.Secondly,it constructs a multi-dimensional built environment indicator system based on macro block composition and micro street characteristics using street view data,POI data,and OSM road network data.Finally,a multi-scale geographically weighted regression model is introduced to explore the spatio-temporal differences in the impact of different built environments on street vitality.The results show that:(1)In terms of time,the proportion of medium and high vitality streets in the main urban area of Wuhan is the highest overall between 9:00 and 18:00.In terms of space,the vitality of the streets is generally distributed as"east core west belt,multi point aggregation"at each time period.(2)The overall impact of the two-dimensional built environment based on macro block composition on street vitality is more significant than the micro three-dimensional built environment of streets.(3)The spatio-temporal heterogeneity of the impact of various built environmental factors on street vitality is significant.The impact of the closest distance to entertainment facilities and the enclosure degree on street vitality has a robust spatio-temporal variation overall,followed by proximity,functional mix degree,functional facility density,and sky openness.The closest distance to the comprehensive shopping mall,street aspect ratio,and proportion of safety facilities indicate significant spatio-temporal and local effects.
street vitalitybuilt environmentmulti-scale geographically weighted regressionstreet view imageWuhan city