基于大数据的房地产分析与决策支持系统设计与实现

Design and implementation of real estate analysis and decision support system based on big data

住房关乎民生福祉和社会经济稳定,房地产市场调控长效机制要求对市场异动及时提示、指导和预警,精准分析市场形势。本文利用大数据技术,采集房地产相关土地、住房、金融等市场数据,人口、社会、经济等宏观统计数据,以及房地产政策、舆情等方面信息,开展系统设计与技术开发,建立了包括数据、指标模型、知识和应用等多层次架构的房地产分析与决策支持系统。应用表明,系统有助于对房地产市场开展动态监测与分析评估,有效支撑国家房地产调控工作和房地产用地供应政策制定。

Housing concerns people's well-being and social and economic stability.The long-term regulation mechanism of the real estate market requires timely warning,guidance and early warning of market changes and accurate analysis of the market situation.This paper uses big data technology to collect real estate data related to land,housing,financial market,macro statistics such as population,society,economy,and real estate policy,public opinion information,develops system design and key technology development,and establishes a real estate analysis and decision support system including data layer,index and model layer,knowledge layer and application layer.Through the application of the system,the real estate market can be dynamically monitored,analyzed and evaluated,and a series of analysis reports can be formed to effectively support the national real estate regulation work and the formulation of real estate land supply policies.