“…We obtain the required variables from SFUN and Google Maps including housing prices, sale state, trading year, property location, property area, greening rate, plot ratio, the number of bedrooms, supermarkets, bus stops, hospitals, schools, and parks, and the distances between the property and the nearby central business district (CBD), district government, WTE plants, and open water bodies. Although much previous literature has focused on single-family homes [32], more attention in this paper is paid to high-rise buildings and multiple dwellings due to the high population density. Furthermore, in order to better reflect family purchasing preferences, rental data are excluded.…”