Abstract
This study investigates the under-explored relationship between vacant house distribution and neighbourhood characteristics in satellite cities, using Toda City in Saitama Prefecture as a case study. We analysed ten neighbourhood characteristics encompassing living convenience, housing supply, and policy support. Using various databases primarily derived from the 3D city model of PLATEAU, we proposed a two-step methodology integrating the global and local Moran’s I analysis to test the normality of the spatial distribution of vacant houses. We incorporated linear correlation, multiple regression, and multiscale geographically weighted regression to verify the effective factors of neighbourhood characteristics on vacant houses. Our findings reveal a significant positive correlation between the area ratio of supermarkets to vacant houses, while road adjacency conditions show a significant negative correlation with vacant houses. Our study addresses how these neighbourhood characteristics might be dominant considering the context of the satellite cities.