GIS-based Analysis of Distribution Characteristics and Driving Factors of House Prices in Nanjing's Central District

This study aims to investigate the spatial distribution characteristics of house prices and their driving factors in the central area of Nanjing by using Geographic Information System (GIS) technology, combined with kernel density analysis, Moran index and geodetic detector method. The results show that: (1) The high values of house prices in central Nanjing have significant spatial aggregation characteristics, mainly concentrated in Qinhuai District, Gulou District and its border areas, and the house prices have significant spatial autocorrelation; (2) The results of the geo-detector show that the degree of traffic access and settlement characteristics have the greatest influence on house prices, while the influence of the construction of ancillary facilities is relatively weaker; (3) There are significant interactions between different factors, especially between transport accessibility and the construction of ancillary facilities, which play a crucial role in influencing house prices.