Urban-based GIS Technology, Commercial Housing Price Index Measure

Compared to the rapid development of the real estate industry in recent years, real estate price index measurement study is particularly behind. Although the market has been designed for different purposes for different uses of a dozen real estate-related price index, but, overall, there are various defects, such as: the preparation of the theoretical basis is not perfect, the sample data is not representative and comprehensive, not timely data updates and so on. Related to real estate price index of existing in time and space can not accurately reflect the current local real estate price levels, the reasonable selection of samples, to improve the real estate price index calculation method to update the price index and predict future trends in a moment of the price index relevant stakeholders are most concerned about.This article is in the background, through domestic and international real estate price index data in different ways and index of selected research methodology, the sample data acquisition, block border demarcation, the price index and other key aspects of the preparation made more effective approach. Specifically, the sample data acquisition, the paper proposes the use of official and unofficial ways to approach their respective strengths, to select the sample data; border demarcation on the block, the introduction of GIS mapping technology to rationally determine the Voronoi boundaries of each block, through the division of blocks and lots more effectively eliminate the location factors influence the price index; to the Price Index, the proposed use of transactions, block size, the number of real estate step by step the three weighted composite weighted average weights method. In this paper, based on the results of theoretical research on the Dalian Commodity Housing Price Index for urban areas is estimated to achieve the purpose of inspection results. Finally, through the commercial housing price index Dalian measured analysis of the results obtained Dalian whole lot of commercial housing price levels and changes in commodity housing price level because of the future prices of commodity houses in Dalian to make a simple overall trend forecast for the real estate during the various stakeholders of the main trading commodity houses to provide reference for decision making.