Research On The Time And Space Changes Of Ordinary Commercial Residence Price Of Xi’an

Along with China’s economic development, real estate plays a more and more important role and occupies an increasingly vital position in national economy. In current days when the extent of residence commodityization in the city is getting higher, commodity residence expense has become the important part of people’s daily expense. Commodity residence price has gradually become the focus of the society’s attention. Researches on commodity residence price change and the factors that generate the change can, on one hand, provide reference for the citizens to purchase residence; on the other hand, it can reflect the development situation of the city economy. Among them, researches on influence factors of commodity residence price time and space, through confirming each factor’s influential extent of common commodity residence price, possesses practical significance in the macro-control of real estate price and the residents’residence purchase.This paper takes common commercial housing price in Xian city as the research object, and on the basis of qualitative and quantitative analysis method, it demonstrates the change and influential factors of common commercial housing price in Xi’an city from the aspect of time and spatial changing. In terms of time dimension, the paper claims the change of common commercial housing price in Xi’an city from 1998 to 2014, and explores its influential factors by using multiple linear regression models. In terms of space dimension, through ArcGIS software, it analyzes spatial differentiation characteristic of common commercial housing price of Xi’an in 2014 by adopting trend surface and interpolation method respectively; moreover, the main influential factors are marked on the drawing, and then these influential factors are quantified by using various ArcGIS tools such as point-density analysis, line-density analysis, neighbor analysis and so on. In this way, the spatial association model for common commercial housing price and its influential factors is built.The result shows that:1. From 1998 to 2014, common commercial housing price in Xi’an city kept rising by an average of 16.7%; the sales area increased from 1086100 square meters in 1998 to 1707.71 square meters in 2014, which increased by nearly 1572.33%, with annual average growth was of 27.4%.2. Through quantitative analysis, it can be seen that the main influential factors are GDP, urbanization level, and population etc;3. In 2014, common commercial housing price in Xi’an city had obvious spatial difference. The housing price in Bell Tower district, High-Tech district and Qujiang new district were apparently higher than other districts; then followed by North economic and technological development zone; and in contrast, the housing price in west of the city was relatively low;4. The main influential factors for spatial differentiation of common commercial housing price are the degree of prosperous business, transportation convenience, completeness of public service facility, and environmental conditions. Through specific quantitative analysis, it can be seen that the main influential factors for the spatial change of common commercial housing price are the distance to city center(Bell Tower), the distance to the nearest commercial center, the distance to subway station, the density of road network, the density of educational resources, the distance to hospital, and the distance to park places etc.Along with our nation entering into new normal and slowed urbanization, the common commercial housing price in Xi’an will transit from growth period to stable adjustment period, which also provides a chance for the space optimization of commercial housing price. From the influential factors of common commercial housing price, it can be known that the new commercial residence development project should take advantage of the current public service facility as much as possible; besides, in order to optimize the spatial arrangement of commercial residence, the relatively equal of public service facility should be promoted. For example, business centers and park places should be rational planned, subway construction should be built rapidly; and educational resources should be rational distributed, especially for the excellent teaching resources.