Research On The Calculation Of The Base Land Price Of Urban Residential Land In Luohe City Based On GWR Model

The standard land price is an important part of China's urban land price system and one of the statutory public land prices of the Chinese government.The benchmark land price assessment provides the necessary data basis for land ownership transactions and property rights transactions.It also provides a scientific basis for the government to plan management of the land market,prepare land use planning,and formulate land policies and measures.In the traditional study of benchmark land price evaluation,it is often based on the grading to directly calculate the average land price of each level of land price samples to calculate the level of the benchmark land price.This method of assessment requires not only the number of land price samples to be reached.A certain scale,and the land samples needs to be evenly distributed,too few samples or uneven distribution will make the calculated benchmark land price not accurate enough.In order to solve the problem that the land sample is prone to deviation,the "Urban Land Appraisal Regulations”proposes a method based on the traditional general linear regression model to evaluate the benchmark land price,but the traditional linear regression model is the result of the entire region."Averaging" does not reflect the change in land prices in a local scope.Therefore,based on the residential land price in urban area of Luohe City,this paper attempts to evaluate the calculation of the benchmark land price based on the GWR model based on the GWR model,which is based on the local parameter estimation of land price.Provide suggestions and references for the development of land planning and policies.The specific research results are as follows:1.Using the Exploratory Spatial Data Analysis(ESDA)tool in ArcGis10.2,data structure analysis,trend analysis and spatial autocorrelation analysis were performed on the samples in the study area.The results showed that the residential sample land price selected in this study was In line with the normal distribution situation,the trend analysis also shows that the residential land price samples in the urban area ofLuohe City have a global trend,and the land price performance is gradually decreasing from the city center to the surrounding area;the spatial autocorrelation results show that the urban residential land price in Luohe City shows a high degree.Correlation,the land price sample shows a certain agglomeration,the CBD business center presents a distinct high agglomeration(HH,hot spot)mode,and the southern marginal area of the eastern part of the city presents a low-low concentration(LL,cold spot)mode,ie The spatial heterogeneity and spatial non-stationary characteristics of the land sample have laid the foundation for the subsequent research on the land price of the GWR model.Then,the ordinary Kriging interpolation is carried out on the residential land price,and the contour map is drawn to generate a continuous land price surface.The interpolation results show that the distribution of residential land price in Luohe City presents a single-core structure that gradually decreases from the central business district to the periphery.2.This paper selects the influence factors of commercial service,road accessibility,infrastructure perfection,public facilities completeness,green space coverage,population density,river influence degree,and business service center,water supply,drainage,gas supply.10 factors such as heating,middle school,primary school,kindergarten,hospital,park,etc.are used as the benchmark land price grading factor factors,and then the factor value of the factor factor is used to quantify the factors affecting the residential land price.The land level is based on multi-factor synthesis.The evaluation method calculates the total score of the land unit,and then uses the frequency histogram method combined with the Kriging interpolation result to divide.The residential land level is finally divided into five levels.3.Based on the seven influencing factors of residential land price(commercial influence of commercial service,road accessibility,infrastructure perfection,public facilities completeness,green space coverage,population density,river influence),a general linear regression model is established.The GWR regression model interprets and analyzes the formation mechanism and mechanism of residential land price,and compares the regression results of the two models.The results show that the GWR model explains the residential land price more than the general linear regression model.In this paper,the research area is divided into 20×20 meters working grid by GIS software.In the grid unit,the residential benchmark land price in the study area is calculated based on the GWR model.At the same time,the residential land level map is used to calculate the residential land level benchmark land price..The results show that the benchmark land price calculated based on the GWR model has obvious positive difference,that is,the high-level difference is obviously larger than the low-level difference.These phenomena are consistent with the general law of urban land price distribution and have certain rationality.Based on the GWR model,the benchmark land price update adjustment work improves the visualization of the results,which is more accurate and objective than the general linear regression model.