Impacts Of Urban Rail Transit On Surrounding Real Estate Prices

On the basis of the collection and integration of relevant information on the country and abroad in contention on the current status of research scholars at home and abroad to do a more comprehensive overview, from a qualitative point of view to explore the impact of the mechanism of rail traffic on real estate values, thus that the impact of rail traffic on the surrounding real estate values is through the use of the main properties of the surrounding properties to improve accessibility, changes in land, to improve the strength of the land, to promote the prosperity and development of the social economy. Empirical partly by Wuhan Rail Transit Line4, for example, select Shuiguohu district and the surrounding district in the South, housing prices, the shortest driving distance, data room number, and the house in which the floor toward the housing12variables through the establishment of a global model and local model-depth inquiry, then the impact Wuhan Urban Rail Transit on the border of the real estate prices to carry out a detailed inquiry, finally get the following conclusions:First, the local model than the global model has better accuracy; characteristic variables influence the prices within the range of the study is a non-stationary nature of space, and the difference between any one characteristic variable is obvious. Constructed from the global model parameters estimation results of this perspective, the selected area real estate community and the distance to the central city of Wuhan, housing prices showed changes in the opposite direction; discovered around Wuhan Metro Line4, floor and landscape layout for house prices The reaction was not very sensitive to the final result can be obtained from the regression, the structural features of the part reflects the influence of the variable space is very smooth.Second, commercial facilities, education, health status and characteristics of these two variables around Wuhan Metro Line4Line rates had a positive effect, Wuhan city center more perfect supporting facilities, the housing prices depend on the status of commercial facilities for the more less.Third, the results from the global model and local model to analyze the impact of Wuhan Metro Line4on the surrounding residential housing prices relatively positive, but with the smaller distance rail transport area, housing prices in the region will up, you can get geographically weighted regression model from the results of the regional housing prices and the distance between the sites selected rail has a relationship that has a non-stationary reflected in space. Wuhan rail transport distance of the selected area with the presence of the impact on the surrounding housing prices in three cases, the remote city of Wuhan, the biggest impact for the region near the central city of Wuhan impact is greater, for the central city of Wuhan effects are minimal.