菜单
  

    摘要:本文以上海商品住房价格为研究主体,结合上海虹桥交通枢纽的建设,详细分析了上海商品住房价格的影响因素,并在此基础上预测了房价未来一段时间的走势,之后有选取了虹桥枢纽周边的典型版块,对其房价进行详细的分析和预测。63459

      本文从前人研究的基础上,从商品住宅价格的成因、影响因素及其预测方法方向出发,开展了虹桥交通枢纽建设对房价影响的相关研究,第一部分阐述了研究背景、意义、框架及内容,并对相关国内外文献进行综述。第二部分总结了商品住宅价格的影响因素,第三部分着重讲了上海房地产市场的发展状况及现状,第四部分讲述了与交通枢纽相关的区位、可达性、地价理论,第五部分对商品住宅价格做了模型预测分析,取自2011-2015年数据进行分析,运用多元回归模型,对上海市商品住房的价格作了初步的预测及分析。第六部分讲述了交通枢纽的概况和理论,采用就近选取的办法着重分析了虹桥综合交通枢纽周边典型小区的房价,建立一元线性回归模型并对该小区的房价进行了预测分析,最后对商品住宅的容积率、建筑面积、距离交通枢纽的距离作了相关性分析。

    毕业论文关键词: 交通枢纽;商品住宅价格;影响因素;多元线性回归模型

    The Impact of Hongqiao Transportation Hub Construction on Peripheral Commodity Housing

    Abstract : Based on the construction of Shanghai Hongqiao transportation hub, this paper analyzes the influencing factors of commodity housing price in Shanghai, and forecasts the trend of housing prices for some time. Then, after selecting the surrounding area of Hongqiao hub Of the typical section, the price of its detailed analysis and forecast.

    Based on the research of predecessors, this paper studies the causes of housing prices from the construction of Hongqiao transportation hub from the causes of commercial housing prices, the influencing factors and the direction of forecasting methods. The first part elaborates the research background, significance, frame and content , And the relevant domestic and foreign literature review. The third part focuses on the development of the real estate market in Shanghai and the status quo. The fourth part deals with the location, accessibility, land price theory and the fifth part of the relationship with the transportation hub. The price of commercial housing is forecasted and analyzed from the 2011-2015 data. The multiple regression model is used to forecast the price of commercial housing in Shanghai. The sixth part is about the general situation and theory of the transportation hub, This paper analyzes the housing prices of typical residential areas around the Hongqiao comprehensive transportation hub by using the nearest selection method, establishes a linear regression model and analyzes the house prices. Finally, the volume ratio of the residential buildings, the building area and the distance from the traffic hub Made a correlation analysis.

    Key words: transportation hub; Housing price ; Influencing factors; Multiple linearity

    目录

    1 绪论 1

      1.1 研究背景与研究意义 1

        1.1.1 研究背景 1

        1.1.2 研究意义 2

      1.2 国内外文献综述 2

      1.2.1 国外文献综述 2

      1.2.2 国内文献综述 3

      1.3 研究方法与基本框架 4

      1.3.1 研究方法 4

      1.3.2 基本框架

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