| Land is the most significant component of national asset, and its price is the most important means of manifesting national asset. City is the most active areas of the land market, therefore, the study of spatial structure of urban land price is always a typical proposition of geography research. The research of land price is of great importance in promoting healthy development of city land market and increasing a higher level of scientific planning.In the early land market, for the lacking of land market trade sample, the study of urban land price distribution often use transaction commercial housing price, which directly use traded land price for studying structure of land price is poor. Traded land price sample can truly reflect the urban land value, therefore, the academia starts use transfer deal sample to analysis the spatial distribution of urban land price in recent years, but the existing study concentrated in first-tier cities or developed second-tier cities. There is no study using transaction sample to analysis the distribution of urban land price in xi'an at present.This paper takes main urban area of Xi'an as the research scope, collects the land value sample data of commercial land, residential land and industrial land from 2006 to 2014, conducts the research on the spatial distribution and evolution characteristics of the land value of three land-use types through the spatial autocorrelation analysis, global trend analysis and spatial interpolation analysis under the support of ArcGIS platform, and establishes the value model of characteristics which influencing land spatial distribution on this basis for analyzing the main influence factors of land value of different land-use types. The main research results are as follows:(1) Based on the normality analysis and abnormal value handling of data sample of the commercial land value, residential land value and industrial land value, this paper concludes that the revised land value data don't conform to the normal distribution, but after logarithmic transformation, the data basically present the normal distribution, but there are still some abnormal values, and these values can be corrected for the second time or removed according to their property for avoiding affecting the overall distribution structure of the data.(2) Global trend analysis and spatial interpolation analysis results of land value show that residential land value, commercial land value and industrial land value present the inverted-U trend in the spatial distribution, and land value on the whole presents the trend of decreasing from city center to city edge.(3) Land value isoline is of obvious layer structure, with both continuity and change point. Gradient change of land value has the difference in the direction, with change of east-west direction being bigger than that of north-south direction. High-value agglomeration area of commercial land value is around the Zhonglou business circle, but there are also secondary business regions such as Xiaozhai, Dayanta, High-Tech industrial development zone. High-value regions of residential land value are distributed not only in the place which closer from the city center, but also in the local areas, such as Qujiang New District, and area near the municipal government of the city.(4) Urban land-value spatial evolution trend analysis shows that the growth in the distribution of land value sample quantity during the later period is faster than that during the early period, sample spatial distribution presents the trend of keeping outward expansion and internal filling alternately, and centralized layout of axis along the city, main roads and in the local areas is more obvious. Spatial distribution of residential land value of Xi'an presents the trend of keeping balanced development from single-center dominance to multiple centers, and spatial distribution of commercial land value presents the trend of transiting from single commercial center to multipolar business center.(5) The regression results of Hedonic price model of spatial distribution of land value of different land-use types and its influence factor show that influence value of commercial center, distance to the city center, subway stations, universities, hospitals, park plaza, ancient building relics and plot ratio are the main factors influencing the commercial land value. Influence value of commercial center, distance to the city center, subway stations, bus stops, middle schools, administrative organs, park plaza, rivers and lakes are the main factors influencing the residential land value. Distance to the city center, but stops, bus stations, number of highway line and railway line and administrative organs are the main factors influencing the industrial land value. Commercial service land value is the most sensitive to the influence value of commercial center and distance from the city center, and is greatly influenced by them, while the residential land value is the most sensitive to the subway stations, park plaza and middle schools. All these also fully show that commercial land has higher requirement for the prosperity of commercial service and distance from the city center and great centrality, while residential land prefers to the location with high traffic accessibility, perfect infrastructure and good environmental quality, and industrial land tends to conduct the layout in the industrial development zone of the city periphery with convenient external traffic condition and obvious industrial agglomeration effect. |
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