Analysis On The Effect Of Xi’an Metro Line 2 On The Surrounding Housing Price At Different Time Points

With the rapid development of social economy and accelerating the process of urbanization, urban Rail traffic in China has undergone a rapid development. because the investment during the period of construction and operation is huge, and capital source mainly rely on the government, the shortage of funds that cannot be ignored often occurs. Urban rail traffic convenient for people to travel, to improve the traffic accessibility of the region, so as to make the site around the housing prices there has been a sharp growth, at the same time along the developers are happy to enjoy this by track traffic externalities appreciation bonus. Therefore, xi ’an subway line 2 surround ing residential property prices, for example, research in xi ’an subway line one before and after the opening two different points on the impact of the external and valueadded effect. And the internalization of external effects, in order to solve the problem of shortage of funds, is has important guiding significance and practical value.Firstly, this study identifies the research objectives and contents through analyzing the domestic and international literature review. Secondly, it analyzes the rail transit and the status of the Xi ’an residential development, elaborates the characteristics of rail transit and the influence factors of real estate value,and then analyzes the influence mechanism of rail transit on real estate value. Finally, it studies the dynamic effects of the two different time points that are before and after Xi’an Metro Line1 on the housing price along the Line 2, using the semi-log price model.The empirical analysis of space effect shows that while the influence radius ofsite on the surrounding residential is 1200 m for a single operating point, it becomes1600 m for networking ones. Namely, with the increase of urban subway lines, the influence radius of the subway site increases correspondingly. In addition, it also shows that the far away from the site of a house, the smaller the degree of the influence of the subway. More specifically, while each influence area of subway stations increase by 4.58% on average, it in contrast increases by 5.1% for networking point sites. Namely, along with the increase of urban rail transit lines, the influence of the surrounding residential prices along the metro becomes larger and larger.