Spatial Differentiation Patterns And Influencing Factors Analysis Of Housing Prices In Shenyang

However, against the background of housing commodification and market reforms since 1978 in China, housingprice in many cities especially mega cities such as Beijing, Shanghai, Shenzhen and Guanghzou in China hasundergone rapidly increasing. The fact negatively affects housing accessibility of many residents and leadsto socio-spatial polarization of many cities.

Driven by this concern, this research explores the spatial distribution pattern of housing prices and the influencing factors of Shenyang, a typical old industrial city in China.Based on POI data and the Kriging method, we firstly simulated the spatial distribution pattern of housingprices in Shenyang. Then, 11 independent variables were selected (consisting of community characteristics,public facilities and public transportations) to investigate mechanisms underlying the spatial differential pattern of housing prices of Shenyang, based on the Geographically Weighted Regression model (GWR).