摘要
基于用户兴趣点数据,对兰州市住宅与零售业的空间布局及其关联性进行分析,对二者的空间匹配度进行测度.结果表明,住宅与零售业形成了“一主多次”的空间分布特征,呈现较强的“商住联动”趋势;便利店及超市等较小规模零售业与住宅空间分布的相关性较强,商场等较大规模零售业与住宅在空间上没有形成显著的协同集聚效应;零售业“临近”住宅布局的趋势较强,住宅“临近”各类零售业的趋势较弱,二者在空间“临近”上呈现非对称性特征;住宅与不同规模零售业辐射范围的空间匹配性差异显著,与不同业态零售业的空间匹配在街道尺度上可以划分为超前、协调和滞后3种类型.总体上,住宅与零售业在地域上形成了“以商引住”、“依居布商”、“商住互哺”的空间布局模式.
Based on point of interest data,the spatial layout and correlation between residential and retail industries in Lanzhou City were analyzed and the spatial matching degree between them measured.The results showed that residential and retail industries had formed the spatial distribution characteristics of"one master and many times",showing a strong trend of"commercial and residential linkage";smallscale retail trade such as convenience stores and supermarkets had a strong correlation with the spatial distribution of residential buildings,while large-scale retail trade such as shopping malls and residential buildings did not produce a significant synergistic agglomeration effect in space;the retail industry had a strong trend of"approaching"the residential layout,while the residential industry had a weak trend of"approaching"various retail industries,which showed asymmetric characteristics in spatial"proximity";significant differences existed in the spatial matching between residential buildings and retail industries of different scales.The spatial matching between residential buildings and retail industries of different formats could be divided into three types:leading,coordinating and lagging on the street scale.On the whole,residential and retail industries had formed a spatial layout pattern of"business attracting living","business distributed according to residence"and"commercial and residential feeding each other".
作者
李瑞红
张志斌
公维民
高峰
马晓梅
LI Rui-hong;ZHANG Zhi-bin;GONG Wei-min;GAO Feng;MA Xiao-mei(College of Geography and Environmental Science,Northwest Normal University,Lanzhou 730070,China)
出处
《兰州大学学报（自然科学版）》
CAS
CSCD
北大核心
2022年第1期20-26,共7页
Journal of Lanzhou University(Natural Sciences)
基金
国家自然科学基金项目(41961029
41161028)。
关键词
零售业
住宅
空间布局
关联性
兰州市
retailing
housing
spatial layout
relevance
Lanzhou City
