Impact Assessment Of Rail Transit On Second-Hand Housing Prices Along The Line

Transportation issues are closely related to urban development.At present,China is in a period of vigorous construction and continuous improvement of urban rail transit.Therefore,studying the impact of urban rail transit on real estate prices has theoretical and practical significance.In order to improve related transportation problems and ensure the efficiency of the entire city,the construction and development of public transportation has become the focus of government consideration.As an important part of public transportation,urban rail transportation has the advantages of large transportation volume,high efficiency and convenience,and has become the preferred choice for large-scale public transportation.Due to the obvious external benefits of rail transit,its effect of promoting the appreciation of real estate prices along the line is significant.Therefore,the quantitative analysis of its value-added utility has certain research value for the planning of rail transit and residential buildings along the line and the internalization of external benefits of land.This article summarizes the research results and research methods at home and abroad.After analyzing and comparing the relevant basic theories of real estate prices and the three valuation methods commonly used in asset valuation,this paper proposes the HPM(Hedonic Price Model)as the rail transit pair in this paper.A tool for assessing the impact of real estate prices along the line.Using the characteristic price model,combined with statistical software SPSS,EVIEWS,and EXCEL,to perform qualitative and quantitative analysis,the research on the impact of Chongqing Rail Transit Line 3 on residential prices along the line was launched.After separately analyzing the impact of house prices in the five areas passed by Line3,the article finally selected 15 variables of location factors,neighborhood factors,and structural characteristics factors.For real estate,796 houses are used as samples.After comparison and analysis,a semi-logarithmic function model is selected for expression.In addition,further analysis of the spatial effect,with 500 meters as the division standard,divide the light rail station closest to the community into four grades,and then do regression analysis again.Regression coefficients indicate that when the distance from the orbital station to the community is 0-500 meters,500-1000 meters,1000-1500 meters,the assessed price per unit will increase by 7.36%,5.65% and 3.67%.The closer the residence is to the light rail station,the more significant the added value.This paper finds that within a certain range,the real estate prices along the line increase with the distance from the rail transit station,and after a certain distance,thepositive externalities will decrease.Government departments should rationally plan and price land based on this spatial effect.For areas where the remaining land development intensity is not high,the planning of transportation routes can be considered to drive the value-added of the surrounding land,thereby driving the development of the relevant areas.The income from land appreciation can be reasonably distributed to determine a reasonable return on investment.At the same time,the shortcomings of the research are expressed and the suggestions are expressed.