Study On Second-Hand House Price Index Construction Based On Web Extraction Technology And Web Spacial Services

In recent years, with the local Government's financial dependence on the land, Real estate developers' pursuit of profits on the real estate industry and the majority of real estate consumers' interestes in the property market transactions, the domestic real estate market is booming. House price is becoming the daily hot topic. House price index issued by the State is always inconsistent with the public feeling.The public need for a professional, authoritative web publishing platform to publish available real-time information on real estate transactions. According to the information, people can calculate the house price index which is more line with the public feeling to analyze the real estate market trends. Web map service which is offered by the platform will help users to understand the macro development and the trends of the real estate market directly and precisely from the spatial view.After full analysis of the shortcomings of current real estate price index and the existing web publishing platform on real estate transaction information, this study combined the technologies of web crawler, page parser, Web and GIS to calculate the price index of second-hand residential property in Nanjing city based on the Hedonic model.Specific research contents and results include:(1) House price index construction based on Hedonic modelFor the unique spatial characteristics of real estate, this study extended model variables, adjusted the quantitative methods and chose the model's functional form to optimize the existing Hedonic model. It changed data sources of the attribute data and spatial data which are required for the house price index construction. It estimated the Hedonic model and updated it based on the experimental samples.(2) Real estate web transaction data collection and extractionThe study collected web pages of real estate transactions using the web crawler, summarized the layout rules of the pages, extracted the attribute data which is required for the house price index construction using HTMLParser, and checked the quality of the extracted data and quantified them.(3) Construction of web publishing platform on real estate transactionsThe study constrcted a web publishing platform based on web map service to publish the extracted real estate transaction data in real time. The study used the expanded spatial analysis functions of the platform to obtain and verify the spatial data which is required for the house price index construction. At the same time, the platform also provided the function to spatial visualize and distributed the house price to support decision-making.(4) Price index construction examples of Nanjing cityThe study calculated the price index of second-hand residential property in six districts of Nanjing city based on the Hedonic model using the data obtained above. Compared with the "Classified Second-Hand Housing Price Index of Seventy Cities" published by National Bureau of Statistics of China, the results of this study is not out of the authority but more line with the feeling of the general public.