摘要
城市商业空间与居住空间的关联性和差异性并存。本文以南京中心城区的商业租金和住宅租金为研究对象,采用冷热点、多尺度地理加权回归等空间分析方法,通过比较2010—2019年间南京商住租金的时空格局演变及影响因素差异发现:①商住租金时空演化差异显著,住宅租金呈现“稳步”增长和“多核集聚”分布格局,而商业租金增长更具“波动性”,空间上体现出内城“强核心”特点,其空间拓展滞后并依赖于居住空间。②南京商住租金空间结构存在由单中心圈层结构向一极多核层级网络结构演化的趋势,但城市尺度上依然呈现出“核心–边缘”的整体空间结构。③中国城市商住租金的空间分异现象是压缩城市化过程中城市发展不平衡的结果,人口、资本、交通等城市资源要素的配置与调整重塑了城市商住租金空间的分异与耦合。④商业发展是循序渐进的过程,遵循市场发展规律,合理协调商住空间开发建设的步调对于郊区商住空间高质量发展意义重大。
This paper compares the evolution of the spatio-temporal patterns of commercial house and residential house rents and the difference of influencing factors from 2010 to 2019 in Nanjing by means of multi-scale geographically weighted regression(MGWR)and other methods of geographical space analysis.According to the research,the spatio-temporal evolutions of commercial house and residential house rents are significantly different.The residential house rents rose steadily and presented the distribution of multi-point agglomeration.But the commercial house rents increased in fluctuation and trended towards central polarization.In addition,the expansion of commercial space lags behind and depends on residential space.Although the spatial structure of commercial and residential house rents in Nanjing has a trend of evolution from single core pattern to multi-center network pattern,the overall spatial structure is still presented as the core-periphery model.The spatial differentiation of commercial house and residential house rents in Chinese cities is the result of unbalanced urban development in the process of compressed urbanization.The allocation and adjustment of urban resources such as population,capital and transportation reshape the differentiation and coupling of urban commercial house and residential house rents.Business development is a gradual process and it is significant for coordinating the development of commercial house and residential house in the suburbs to create living atmosphere with high-quality and diversity.
作者
谷跃
沈维志
宋伟轩
Gu Yue;Shen Weizhi;Song Weixuan(Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,Jiangsu,China;School of Architecture and Urban Planning,Nanjing University,Nanjing 210093,Jiangsu,China;Information Division,General Office of the People's Government of Jiangsu Province,Nanjing 210024,Jiangsu,China;Key Laboratory of Watershed Geographic Sciences,Chinese Academy of Sciences,Nanjing 210008,Jiangsu,China)
出处
《地理科学》
CSCD
北大核心
2023年第4期679-689,共11页
Scientia Geographica Sinica
基金
国家自然科学基金项目(42171234)资助。
关键词
商业空间
住宅租金
多尺度地理加权回归
南京
commercial space
housing rent
multi-scale geographically weighted regression
Nanjing