As the information industry pushing the urban development and renewal, and improving the business and economy, urban has become the supplier of business functions. The development and remodeling of the urban area is being improved and influenced by the both parties of office rental, potentially. Through studying the office rental market, this dissertation analysed the dynamic characteristics and special distraction structure. At present the quantitative analysis of the micro-market supply and demand characteristic is ignored in most of the empirical studies, as well as the spatial influence of the real estate price. Hence this dissertation tries to study the inner dynamic characteristic of office lease transactions in the micro level, and studies the distribution characteristics of spatial structure, using the theory and method of spatial analysis—geostatistics, in order to provide basis for the urban development and planning.Taking commercial office building as research subject, the empirical study in this reserach is divided into two part:①the establishment of commercial office building hedinic price model (HPM)②the establishment of commercial office building digital rent model (DORM) Focusing on these two aspects, this reserach obtained the following research results:Firstly, under the premise of understanding research purposes, background and significance, through a large number of literature search and investigation and research, this reserach put forward the issues to be studied, that is studying urban commercial office rent characteristics at the micro level, and conducting rent spatial structure analysis using space technology and methods.Secondly, recalling the relevant literature and empirical research results, the two perspectives of this study were further clarified: economics - Neo-classical economics was selected as the basic theory of this reserach, and the"hedonic price model"besed on this theory was taken as the analysis method; at the same time, the geography - geographic Information systems (GIS) and geostatistics methods were used to obtain the rent structure distribution in space, in order to build the technical line of this study.Thirdly, through the literature review of the selection of model variables (impact factor), according to the specific situation of Chongqing combined results of the survey interview, 18 model variables were proposed in this reserach; the conversion formula between the listed price and the transaction price was obtained through a linear regression.Forth, the HPM was established in the single market and market segments respectively, and the two models were analysed and compared. Linear and semi-logarithmic functional form was tried in the process; sample fitting analysis was done to choose the best model. The hedonic price and marginal price of the coomercial office were estimated through the model, as well as the the corresponding hedonic price function. At last variables (influence factors) appears in the model was studied, and the significance was sorted.Fifth, with the support of the rental hedonic price model data (sample point standard rent value), using geostatistics Kriging interpolation and ArcGIS, the DORM was built to provide an analysis maps for the study of rent spatial distribution. Sixth, on the base of rent spatial distribution map provide by DORM, the spatial characteristics and relevance laws was studied from the view point of space, which includes spatial statistics, digital three-dimensional model of the rent, the rent contours, rent profiles, rent gradient, terrain and commercial land rent levels of samples. The planning proposal of the business district of Chongqing city was proposed based on the research results.Through the establishment of HPM and DORM, the real estate pricing and valuation theory was extended. It also provide basis for decision making and data preparation real estate development, product positioning, fixed asset assessment, urban development and spatial planning. Sum up, this research has a wide range of theoretical research and social practice value. |