BALANCING URBAN DATUM LAND PRICE AMONG CITIES BASED ON GIS
N.C. Deng, Y.L Liu, Y. Liu,
School of Resource and Environmental Science, Wuhan University,
aims at establishing system of urban land grade and datum land price of HuBei province in China, which
shows regional difference of land quality and land price level. The production
of this research will provide important reference in constituting macro policy
of regional land planning and promote balanced harmonious development of land transaction.
Based on analysis of advantage and disadvantage of research methods in
existence, the paper introduces the technology process of urban land gradation
and how to balance urban datum land price of different cities and towns.
Balance of urban datum land-price is based on urban land gradation, principal component
analysis helps selecting of evaluation factors and confirmation of weights.
K-Means clustering by distance is used to enhance the efficiency of land
gradation. In the instance of HuBei
province in China,
research methods have been improved. Based on land gradation, We propose the
method of zoning by regional economic development level to determine reasonable
capitalization rate and capacity rate. Then we choose representative towns by coincidence
level between score of evaluation unit in land gradation and datum land price,
on the basis of improving piecewise linear interpolation, the paper presents
the method of qualification by piecewise regression analysis model and spatial interpolation.
By establishing linear regression equation or exponential regression equation
between score of evaluation unit in land gradation and sample points of transaction,
we can balance urban datum land price, modify abnormal land price. what’s more,
Triangular irregular network and Kriging algorithm is used to establish 3D surface
model for datum land price and calculate datum land-price by spatial location
of different cities.
Based on GIS platform, Information
system of balancing urban datum land price is developed to gather ,store and analyse index system of factors in urban land gradation and
information of land transaction. Geo-computation and spatial analysis enhance
the function of the Information system. Map of datum land-price is compiled to
show the trend of urbanization level of different cities.