초록 열기/닫기 버튼
Rail Transit improves the way residents travel, it greatly provides convenience while also affecting the surrounding housing prices. Rail Traffic not only entails different urban routes but is also a great source of research on other factors that impact the urban environment. Real estate developers are also very concerned about the development of railway traffic. Research on the impact relationship between railway transportation and real estate prices can provide useful insights to both real estate developers and consumers. Currently, the Shanghai Metro is being expanded, and the lines extend to the suburbs. Shanghai's subway construction is mature but there is not enough research on the effects it has had on the suburbs. In this regard, this new study will compare the transit stations and the base through stations of the Shanghai Line No. 16 and their subsequent impact on the aforementioned suburbs with regards to the real estate market. This paper is a comparison of transit stations and base through stations. This will first be accomplished by studying the concept of rail transit, real estate relevant theories, and market development through relevant literature. Second, the methodology of data analysis will be explored. After comparing the transportation cost model, the hedonic price model, and demand function comprehensive model of the expenditure system, finally, the hedonic model was chosen as the methodology. Cross sectional data were collected through the Internet and field survey methods, also using Fang.com, An Ju Ke, Lianjia, Baidu Map, Google Maps, etc. The main research objectives are the second-hand housing market around the transit stations and the base through stations; and grasping the influence of micro elements, regional elements, neighborhood elements, and structural elements on the surrounding housing prices. The independent variable uses the region, neighborhood, and structure variables while the subordinate variable uses the housing unit price. Using SPSS 24 statistics, regression analysis was carried out. In the hedonic model, a semi-logarithmic model with relatively high fitness was selected for empirical analysis. The analysis results can be summarized into four types. First, the studying of the impact of the two station types, the housing price data, and characteristic variable data of the adverse trend circle. By combining the characteristics of the Shanghai housing market and by utilizing a questionnaire survey, 14 characteristic variables were selected to construct the housing hedonic price model. Second, housing prices are affected by various factors. Using the semi-logarithmic function model, there were 10 variables influencing the housing prices around the transit stations, and 5 variables influencing the housing prices around the base through stations. Third, the transit stations and the base through stations have a positive impact on the surrounding housing prices. If the transit station is compared with the station crossing, the price of the houses near the subway stations of the transit stations are very high; and the farther away from the subway station, the higher the decline in the rate of the housing prices. Finally, if the transit stations are compared with the base through stations, the prices of the houses near the transit stations are very high while contrastingly the farther away from the subway station the location, the higher the decline in the housing prices. However, in contrast to this, the prices of houses near base through stations are relatively low, and the rate of decline with regards to distance is also low.
