A Spatio-temporal Big Data Decision Support System of Real Estate

Abstract

Housing has a bearing on people’s well-being and also social and economic stability. The long-term regulation mechanism of real estate market in China requires timely warning and guiding of market changes and carrying on accurate analysis to the market situation. This article provides a spatio-temporal big data decision support system with collection for real estate related data, such as land, housing and financial market, macro statistics data such as population, society, economy, and other information such as real estate policy and public opinion. The established real estate analysis and decision support system has 4 layers including data layer, indicator and model layer, knowledge layer and application layer. The actual application of the system shows that it is helpful to carry out dynamic monitoring, analysis and evaluation of the real estate market, and it provides supports for the government regulation of the national real estate market and also the land supply policy formulation.