Research on the Spatial Distribution Characteristics and Built Environment Effects of Housing Prices in the Central Urban Area of Nanjing based on Big Data
Utilizing the second-hand housing transaction price data from Lianjia.com in 2018,2020 and 2022,this research examines the spatial distribution pattern of housing prices in the central urban area of Nanjing by applying Kriging interpolation method.Moreover,it develops a Geographically and Temporally Weighted Regression(GTWR)model and contrasts it with the Ordinary Least Square Regression(OLS)method to disclose the influence of various built environment factors on the spatial differentiation.The study reveals that the spatial distribution trend of housing prices in the central urban area of Nanjing is marked by a high-value area around the ancient capital culture core and Hexi area,which diminishes progressively to the peripheral areas,and aligns with the spatial guidance structure of planning policies.The development intensity and public transport accessibility exert the most substantial impact on housing prices,but the impact effects differ considerably according to the construction conditions and resident demand variations in different regions.It is recommended to devise refined spatial development policies to address the housing quality development demands in the era of spatial inventory.
second-hand housing transaction pricecentral urban area of Nanjingbig databuilt environmentGTWR
国家科技期刊平台
NSTL
万方数据
维普
