Title: Spatiotemporal Relationships between the Change of Urban Residential Prices and its Driving Factors – A Case Study of Wuhan, China
Description: In big cities of developing countries with fast changes, land price always acts as a key role in land use management. Therefore, exploring spatially implicit information in the spatial pattern of relationships between land prices and related impact factors is important. Taking Wuhan city as an example, the thesis applied geographically weighted regression (GWR) analysis to reveal the relationships. Based on the coefficients obtained from GWR analysis, the impact factors were proved to be spatially non-stationary. The distance to the nearest CBD had negative effects on the price mostly in central, northeastern and southwestern areas, including mainly Qingshan, Jiangan and Hongshan. In Jianghan, Hanyang, Wuchang and Hongshan, there’re clusters of education centers, so it’s significantly negative between the price and distance to the nearest education center. There were overall negative effects on the price from the distance to the nearest metro, park and lake, with the park the least significant.

The outputs are promising for planners to quantitatively evaluate land price and make area-specific strategies.