Measuring the correlation between spatial vitality of metro station domain and built up environment in the main urban area of Hefei based on random forest model
Taking the metro station domains in the main urban area of Hefei as an example,this study ana-lyzed its spatial vitality characteristics based on multi-source data such as the Baidu heat index.A random forest model was used to measure the correlation of six built environment elements,including geographic loca-tion,land use,functional facilities,development intensity,accessibility,and environmental quality,with the spatial vitality of metro station domains.Furthermore,combined with the K-means clustering algorithm,this study classified the types of metro station domains and identified the deficiencies of typical station domains,and then proposed spatial vitality optimization strategies for different types of metro station domains in a tar-geted manner.The results show that:1)The spatial vitality of the metro station domains in the main urban area of Hefei was higher in the evening peak than in the morning peak,and higher in the evening peak on weekdays than in the evening peak on weekends.Spatial vitality also showed a differentiation pattern of"high inside and low outside",with vitality values decreasing from the second ring road to the outside;2)The relative import-ance of each built environment variable on the spatial vitality of metro station domains during the morning,evening,and off-peak hours on weekdays and weekends was ranked in descending order:functional facilities＞development intensity＞geographic location＞land use＞accessibility＞environmental quality;3)The metro station domains in the main urban area of Hefei were divided into 4 types:mature,growing,low matur-ity and breeding,showing the significant clustering characteristic of"circle structure".The mature-type station domains were clustered within the second ring road,the growing-type station domains were distributed in a cir-cular pattern along the second ring road,the low maturity-type station domains were mainly scattered outside the second ring road in the Binhu District and the Economic Development District,and the breeding-type sta-tion domains were mainly distributed outside the second ring road in various districts of the city with a wide range.The study aims to provide policy insights for the enhancement of spatial vitality of metro station do-mains and low-carbon transportation strategies from a built environment perspective.
metro station domainspatial vitalitybuilt up environmentBaidu heat indexrandom forest model
NETL
NSTL
万方数据
