مطالعه در حوزه مهندسی مترو موثر بر قیمت محیطی دارایی واقعی

According to the problem that in what scope can subway engineering influence the prices of peripheral real estate, this paper summarized the problems in similar research presented, and put forward that the influence is taken by factors of person, and the influence can be studied by the probability of choosing subway. Different from other similar research, based on the analysis of the factors which can influence people choose subway or not, this paper constructs the logistic model. Testing the model by using the research data of Beijing, this paper get the list on which we know in what scope can subway engineering influence the surrounding real estate prices by adjusting the logistic model variable X4. Finally, discussed the model applicability and in different cities to application.

Subway is one of public transportation, with high efficiency, energy-saving and environmental protection, and great transport capacity. Therefore, subway engineering's development will enormously improve the current condition of public transportation. By the end of 2009, 10 cities have already set up and formally operated the urban railway network, over 900 km total mileage. Besides, another 27 cities have been constructing, or planning new urban railway network. The planning mileage reaches to more than 7500 km[1 Among the researches on the effects of subway development, researches at home focus on effects subway construction have on the surrounding land's price and house price. Besides, the researches also pay much attention to how to judge the scope of subway's effect by studying the price of surrounding house. The typical literature are Wang Xia (2004) ]. As urban infrastructure, subway will turn out to be the main force among which can satisfy the need of public transportation in metropolis. However, with high constructing and operating costs, subway engineering, on one hand, will put great pressure on local government's finance. On the other hand, it may also affect the growth of subway's development which also can't satisfy the needs from public transportation with the quick increase of urbanization. In order to increase the rate development of subway, theory circle and practice circle have discussed the financing modes, like BOT, PPP and so on, from the aspect of subway engineering project's construction and operation.Nevertheless, almost all the research on the financing modes can hardly break away from marketization of public project's financing. Therefore, in order to coordinate the application of financing mode, some aspects have also done research on the effects of subway's development, aiming at the outer effects which brought by subway project's construction can make up private capital from non-government financing input. [2], Zhang Xiaosong (2005) [3] and Liu Guiwen (2007) [4

This paper analysis the impact of subway engineering posed on the price of vicinity real estate through the logistic model, concluding that the actuating range of impact of metro station posed on the price of vicinity real estate is depend on the vicinity residents’ selection probability. The selectionprobability is positively correlated with the distance of residence, which indicates that under the variable selection probability, the actuating range of the impact of metro station varies. This approximation is distinct from traditional approaches of price studying, endowing higher scientific and operability. The research was conducted in the city of Beijing. The price of Beijing’s subway is two Yuan for each, without constraint of transportation transfer and mileage, from which exceeded other city’s train system in price and thus higher probability of selection. Therefore, the affecting range of metro Beijing is wider than that of other cities. Besides, compared with other cities in this very issue, the transportation expenditure is related to transportation transfer and trip distance, which confined the application and popularization of the variable design implicated and popularized in other cities involved in this paper and at the same time, the amount of the variable and the scale of the research data have been improving during the application of the designed model. However, in regard to these issue conducted in other cities, the initial point could also be the probability of selection by citizens and some further designing of related satisfying variation utilizing the logistic model to study the impact of subway station posed on the price of vicinity real estate under certain necessary requirements of the probability of selection.