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Research on the Impact of Urban Metro on Surrounding Real Estate Prices
Author: XuPing
Tutor: MaShiZuo
School: Shenyang University of construction
Course: Management Science and Engineering
Keywords: subway real estate housing price hedonic price model SPSS
CLC: F299.23
Type: Master's thesis
Year: 2013
Downloads: 50
Quote: 0
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Abstract
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From the history, clothing, food, lodging and transportation are residents’basic demand. Have clothes there will be food. Have food there will be live. Have residential there will be traveling. Four patients are supplementing each other. They are connected inseparably. Along with that the process of urbanization has been accelerated, and the development of economy, the living standard of the people has been greatly increased. The city scale is getting bigger and bigger, so the urban population has increased dramatically. The fast rhythm of living in modern society put forward higher request on traffic economic, convenient, efficient and unobstructed. Staff travel and exchange of goods frequently, make traditional urban traffic system face severe situation. Some problems become more and more visible as road congestion, vehicle jam, order confusion, frequent accidents, noise pollution and air pollution. The subway as a kind of underground rail transit is the most effective way to improve urban traffic travel conditions, which also influence people’s life. The construction of the subway drives the city economy and all aspects development. The development of city provides greater geographical position advantage and value promotion space for real estate. Therefore, analysis on the subway traffic around the influence of real estate price has the important theory significance and the practical significance.Urban subway traffic on the surrounding the influence of real estate price has always been a hot topic in the related field, and at the same time, is also a basic research subject. On the basis of a lot of the domestic and foreign documents to be referred, and by means of land rent theory, location theory, urban space tectonics, urban planning study as the theoretical basis. This paper combined with the characteristics of the subway, the influence factors of real estate prices. And use the qualitative and quantitative integrated research methods to study of urban metro traffic on the surrounding the influence of real estate prices deeply.In the aspect of qualitative analysis, the paper from three angles of citizens, land, urban comprehensive study of urban metro transit to the influence of the real estate. Considering that urban subway traffic is through the meet residents life demand, improve the urban land value, promoting urban economic development to drive along the peripheral real estate prices.In the aspect of quantitative analysis, the paper base on accessibility equal theory at first. Determine the Shenyang metro line2each site scope of influence. Conclude that the average impact range is820meter on the surrounding real estate prices. Found near the subway downtown site scope of influence small, while far from the central city subway site scope of influence is bigger. Then by using characteristic price model, the software of SPSS was used to analysis the subway traffic on the price of real estate along the degree of influence. Found that the real estate price and the distance to the subway site a negative correlation, and calculated, in2km range, a common residential area near the recent every subway stations1m, then each construction square meters of price increase0.00752%. Shenyang metro line2to a phase of the project in its neighboring between2009.11~2010.11the new37average house bring total value for4.895billion yuan.Finally, in order to promote the subway transportation and the real estate the coordinated development of industry, this study puts forward six Suggestions for the government and relevant department reference.
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CLC: > Economic > Economic planning and management > Urban and municipal economy > Municipal economic profiles of countries in the world cities > China > Urban Economics and Management
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