Impact Of Urban Rail Transit On Surrounding Residential Prices Based On GIS And Hedonic Model

With the acceleration of urbanization, the influx of immigrants into the city, the rapid urban population growth, urban private car ownership has increased rapidly, with the attendant traffic congestion from the "problem" into a "troubled." In addition to transportation problems, the city had to ring the same as the share of the pie bigger, conventional people travel transportation more costly, conventional public transport system can not meet the requirements of urban transportation hub. To solve these problems, the major domestic cities with rapid, large and passenger comfort features of urban rail transit as the primary means to solve these problems. However, due to the long period of urban rail transit construction, investment is huge, huge demand for funds, the vast majority of the city subway operators need to rely on government subsidies. Some countries and regions in order to try to better the development of rail transport mode of operation, a joint development of rail transit and real estate projects, this model is to maximize the property value along the subway into the internal efficiency of rail transportation business, thus forming a kind sustainable development mechanism.To better understand rail traffic on the surrounding housing prices and the impact of the principles of the various stages of planning and construction of rail transit Evolution surrounding residential prices, according to local government in land use planning and real estate development planning rail transit, provide a reference for developers, research investment decisions to provide advice to consumers to purchase. In this paper, based on the above background, according to the construction and operation status of Kunming Rail Transit Line 1 and 2 of this paper to market equilibrium theory, consumer theory, location theory, urban regional space utilization structure theory as the basis, Kunming 2008-rail traffic in June 2015 1,2 line periphery 2km range of ordinary commercial residential real estate prices and property data, for example, on the basis of the main city of Kunming Chenggong New Area and space vector GIS large drawing on the establishment of the sample sale GIS spatial attribute database, GIS technology and spatial analysis methods of exploratory spatial data analysis into the research of rail transit on housing prices, the technology through the use of GIS spatial analysis techniques in the neighborhood analysis techniques drawn rail transport buffer Map of exploratory spatial data analysis techniques to draw the sample space for the price trend, the field of natural law interpolation techniques to draw the sample price spatial distribution map and draw a sample analysis showed that the price of space contour map, qualitative analysis of the impact of rail transit on surrounding residential prices mechanism. On the basis of qualitative analysis, combined with the real estate prices than the classic factors of hedonic price model, quantitative analysis of their impact.In this paper, form the following key conclusions:(1) Mass Transit Benefit from the start time, the sensitivity of the new urban rail transit construction was weaker than the old city, new city rail start time lag effect in the old city; rail transit construction to accelerate development efforts along the real estate market.(2) Hours of operation from the entire building to view, along with the construction of rail transit, rail effect will gradually expand the scope for maximizing rail completed trial operation stage, the track effect, after the opening of rail transportation, weakened Effects or even disappear, return to the city circle effect. Rail traffic just to improve inadequate regional transport, and can not change the pattern of the entire real estate market price distribution.(3) Rail traffic on the old city of Beijing Road, a relatively mature central segment is unlikely:For a more complete transportation system and a mature business circle area, rail transport is only a single factor in real estate prices affect its function just to replenish the city’s transportation system, which produces the effect is limited.(4) Different from rail transport, residential real estate prices are different: different effects on the extent of the phenomenon in 2008-2012 the Guandu District, Chenggong and Panlong District, which in 2012 are obvious. From the site near the real estate prices far higher than the price of real estate. From the point of view of quantitative analysis:Panlong, Guandu District, Chenggong New sample points in hedonic price model quantitatively expressed as 2012 from the rail station for each additional 1 meter prices rose 0.751 yuan.(5) In 2012 from the rail station for each additional unit (500m), prices of 107.357 yuan; 2013 quantitative expression for the distance rail transport for each additional unit (500m), prices rose 59.614 yuan; 2014 from the rail station factors, excluding the hedonic price model, rail spatial effect disappears, replaced by the city circle effect.