Files

Abstract

ArcGIS technology is used to study the spatial pattern of housing prices in Xiangtan City, and it is found that the spatial pattern of housing prices shows primary and secondary two-center rings. In Hedong Jianshe Road and near Hexi Jijianying, there are primary and secondary polar nuclei, respectively; the secondary housing price area is located near the east-west and south-north trunk road in the urban area; there are significant regional differences in housing price changes (fastest reduction of prices in the Hedong main center-southwest direction; slow reduction of prices in the main center-northwest, southeast direction; slowest reduction of prices in the main center-northeast direction). In Hexi sub-center, except slow reduction of prices in the Xiangjiang River direction, the prices decline rapidly in other directions. The housing prices exhibit an obvious overall decreasing trend from primary and secondary centers to the suburbs, but there are also exceptions. On this basis, this paper analyzes the driving factors for spatial pattern of housing prices in Xiangtan City, and finds that the spatial pattern of housing prices is mainly influenced by commercial centers, residential environmental conditions, traffic conditions, and urban land layout differences.

Details

Statistics

from
to
Export
Download Full History