Research On The Spatial Differentiation And Influencing Factors Of Second-Hand Housing Prices In Guangzhou Based On Multi-Source Data

Stabilizing the development of the real estate market is related to the national economy and people’s livelihood.However,in recent years,with the rapid development of the real estate industry,contradictions such as excessively high housing prices,excessive increases,and overheated investments have become increasingly prominent.The distribution and changes of housing prices have also shown obvious spatial differences,and the development imbalance is significant.Therefore,to clarify the spatial distribution characteristics of housing prices,and then explore the differences in the spatial effects of housing prices,is crucial to the formulation of housing price control policies and to stabilize the development of the real estate market.Based on this background,this article is based on the related research on the influencing factors of housing prices and their spatial effects.Taking Guangzhou as an example,the second-hand housing prices that are more representative of the real situation of the real estate transaction market are selected as the research object.The spatial distribution characteristics of the influencing factors of house prices,and the spatial imbalance of the effects of various influencing factors of house prices in Guangzhou were quantitatively studied by constructing a spatial model.Finally,with the help of spatial analysis tools,the data and results are visualized,and relevant policy recommendations for Guangzhou housing prices regulation are further proposed.First of all,with the help of Python programming tools,Auto Navi Map API platform and web crawler technology to obtain Guangzhou second-hand housing price data,as well as the data of various factors affecting Guangzhou housing prices(including POI data,city night light data,DEM data,etc.),while using Arc GIS software to quantify each variable;secondly,the spatial distribution heterogeneity of Guangzhou housing prices and influencing factors are studied separately:Kriging interpolation is performed on the Guangzhou housing price data to form a spatial interpolation map of housing prices,and then to analyze the heterogeneity of the spatial distribution of Guangzhou housing prices.Then,the kernel density analysis tool was used to generate a scatter plot of the spatial distribution and agglomeration density plots of the influencing factors of house prices,and the heterogeneity of the spatial distribution of the influencing factors of Guangzhou’s house prices was analyzed;further,construct a hedonic price model and a geographically weighted regression(GWR)model for the influencing factors of the spatial distribution of Guangzhou housing prices and compare the goodness of fit between the two.The result found that the adjusted R~2of the hedonic price model was 0.562,and the adjusted R~2of the GWR model was 0.6801,which shows that the GWR model based on spatial econometric analysis can better explain the characteristics and functions of Guangzhou housing prices and their influencing factors;then,through interpolation analysis,the coefficient changes of each influencing factor are visualized in space,and each influencing factor is visualized.The analysis of the differences in spatial effects shows that the effects of different influencing factors on Guangzhou’s housing prices are spatially heterogeneous.In the central urban area,the most influential factors are key middle schools>headquarters enterprises>key primary schools,and their impacts are0.119>0.105>0.087;in the peripheral areas,the most influential factors are subway stations>Tier-A hospitals,and their impacts are 0.13>0.058.In addition,the distribution of night lighting values and elevation values in the city also has a strong correlation with the distribution of Guangzhou housing prices.Finally,based on the above research,the relevant policy recommendations for the regulation of the real estate market are given,and it is proposed that in the area to be developed in the outer circle of Guangzhou,sufficient infrastructure such as subways and hospitals should be gradually equipped with supplementary policies.It is good to attract talents and enterprises.In the mature central old city,special attention should be paid to the reasonable distribution of high-quality education and other resources,as well as the upgrading and transformation of old communities,to promote the regional positioning and the sound development of urban resources.At the same time,the impact of city night lights and city elevation should also be considered when formulating housing price policies.