2011Geographical ResearchRequires access

Spatial distribution and influencing factors of urban land price in Changsha City

Liao Qiu-fang Chang Jiang

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Abstract

Based on the land transaction data in Changsha from 2003 to the first half of 2009,GIS and econometrics methods were used to compile three spatial structure maps on the distribution of commercial,residential and industrial land prices.Then this paper analyzed the spatial distribution of the three types of land prices and its influencing factors in Changsha.The results are shown as follows.First,the spatial distribution of land price is different in terms of land use types.Commercial land price calls more for the degree of CBD,and the high value areas are concentrated near the center of the city—Wuyi square.Residential land price is consistent with the level of environment quality,and compared with commercial land price,the degree of aggregation for areas with high values comes down to some extent.Industrial land price,which depends more on external traffic factors,is relatively sparsely and evenly distributed in space.Second,the factors affecting the spatial variation of the three types of land are different due to different usages of the land.Degree of CBD is the most important factor among the factors affecting spatial land change in the single central city—Changsha land price,which also has significant influence on the three types of land use.

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What this paper is about

Based on the land transaction data in Changsha from 2003 to the first half of 2009,GIS and econometrics methods were used to compile three spatial structure maps on the distribution of commercial,residential and industrial land prices.Then this paper analyzed the spatial distribution of the three types of land prices and its influencing factors in Changsha.The results are shown as follows.First,the spatial distribution of land price is different in terms of land use types.Commercial land price calls more for the degree of CBD,and the high value areas are concentrated near the center of the city—Wuyi square.Residential land price is consistent with the level of environment quality,and compared with commercial land price,the degree of aggregation for areas with high values comes down to some extent.Industrial land price,which depends more on external traffic factors,is relatively sparsely and evenly distributed in space.Second,the factors affecting the spatial variation of the three types of land are different due to different usages of the land.Degree of CBD is the most important factor among the factors affecting spatial land change in the single central city—Changsha land price,which also has significant influence on the three types of land use.

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Available abstract

Based on the land transaction data in Changsha from 2003 to the first half of 2009,GIS and econometrics methods were used to compile three spatial structure maps on the distribution of commercial,residential and industrial land prices.Then this paper analyzed the spatial distribution of the three types of land prices and its influencing factors in Changsha.The results are shown as follows.First,the spatial distribution of land price is different in terms of land use types.Commercial land price calls more for the degree of CBD,and the high value areas are concentrated near the center of the city—Wuyi square.Residential land price is consistent with the level of environment quality,and compared with commercial land price,the degree of aggregation for areas with high values comes down to some extent.Industrial land price,which depends more on external traffic factors,is relatively sparsely and evenly distributed in space.Second,the factors affecting the spatial variation of the three types of land are different due to different usages of the land.Degree of CBD is the most important factor among the factors affecting spatial land change in the single central city—Changsha land price,which also has significant influence on the three types of land use.

Key concepts: Land price, Land use, Distribution (mathematics), Geography, Spatial distribution, Database transaction, Agricultural economics, Land development

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