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资源科学  2008 

Spatial Structure of Urban Land Price in Nanjing and Its Evolution
南京市地价空间结构的演变

Keywords: Residential land price,Spatial structure,Spatio-temporal evolution,ESDA,Digital land price model
住宅地价
,空间结构,时空演变,ESDA,数字地价模型,南京市主城区,地价空间结构,演变,Evolution,Nanjing,Land,Price,Urban,Structure,作用,政府调节,时间,剖面,选取,中观层面,演化趋势,宏观层面,数字地价模型,住宅用地,支持,方法

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Abstract:

Urban land value is a multidimensional concept with the spatio-temporal property. With the development of land market, urban land price is looked as a piece of important information and standard of value judgment of land market operation. Because the velocity of updating the datum land price is slow, it can not show the dynamic distribution pattern of urban land price on time. At the same time, the information of dynamic monitoring point of urban land price can be updated correctly and timely for each year. Consequently, we can analyze spatial distribution pattern and evolution of spatial structure based on the information of dynamic monitoring point of urban land price. Taking the downtown areas of Nanjing City as study area and using the residential land price as study object, and with the land rent theory, land price theory, location theory, spatial structure model of land value as study basis, the author analyzes the data from dynamic monitoring point of residential land price and builds residential land price database of nanjing city from 2001 to 2004. In this paper, the author gets the analysis result of dynamic monitoring point of residential land price by applying exploratory spatial data analysis method, and builds digital residential land price model from 2001 to 2004 based on spatial interpolation methods such as Kriging, which lays a solid foundation for spatial analysis of residential land price. Subsequently, in order to acquire dynamic land price distribution rule and provide support for government to adjust land market, the author summarizes the spatial structure characteristics of residential land price, and studies spatial evolution trend of study area in macroscopic view. On the other hand, the author studies temporal evolution trend of residential land price by choosing typical residential land price profile in a microscopic view.

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