摘要
基于目视调查等方法获取扬州市主城区社区尺度居住空间的物质、社会、经济特征数据,并将之与社区服务业POI数量、密度、多样性指标进行关联分析。结果表明:社区居住空间的物质、社会、经济特征与服务业空间的数量、密度、多样性特征存在关联关系,其中居住空间的建筑年代、人口数量、年龄结构为主关联因子,居住与服务业空间关联过程分为差异化居住空间形成、差异化人群集聚与消费特征形成、消费特征与服务业空间协同演化3个阶段。
Due to the lack of material,economic,and social data,the research on the spatial association of residential space and service industry space in China is mostly concentrated on the city level,and there is little analysis on spatial association of residential space and service industry space from the perspective of community and multilevel.Based on the visual survey,the data of the material,social and economic characteristics of residential space of communities in Yangzhou,a famous historical and cultural city,were obtained.Ordinary least squares(OLS)and geographically weighted(GWR)regression was used to study the relationship between these characteristics and the number,density and diversity of service industry POI.The result shows that:The building age,population and population age structure are the main factors in the association.The building age is negatively correlated with the POI number,density and diversity index of service industry;the population number is positively correlated with the POI number,density and diversity index of service industry,the middle age ratio is positively correlated with the POI number of service industry,the youth ratio has a negative correlation with the POI density of service industry,and the aging ratio has a negative correlation with the diversity index of service industry.Based on the OLS and GWR regression analysis,the process of spatial association between residential space and service industry space can be divided into three stages:The formation of differentiated residential space,the formation of differentiated population agglomeration and consumption characteristics,and the collaborative evolution of consumption characteristics and service industry space.The spatial association between residential space and service industry space reflects the continuous interaction process of residential space(place)-people agglomeration(person)-service industry space(place).
作者
王丹
方斌
张军
陈正富
Wang Dan;Fang Bin;Zhang Jun;Chen Zhengfu(School of Geography Science,Nanjing Normal University,Nanjing 210023,Jiangsu,China;Department of Resource&Environment Engineering,Yangzhou Polytechnic College,Yangzhou 225009,Jiangsu,China;Jiangsu E-Map Geographic Information Engineering Co.Ltd.,Yangzhou 225009,Jiangsu,China)
出处
《地理科学》
CSSCI
CSCD
北大核心
2020年第7期1134-1141,共8页
Scientia Geographica Sinica
基金
国家自然科学基金项目(41671174)
江苏省高校哲学社会科学研究基金项目(2018SJA1167)
江苏省社会教育重点课题(JSS-B-2018004)资助。
关键词
空间关联
居住空间
服务业空间
兴趣点(POI)
目视调查法
扬州
spatial association
residential space
service industry space
point of interest(POI)
visual survey
Yangzhou