Approaches to Analysis of Factors Affecting the Residential Real Estate Bid Prices in Case of Open Data Use

Determining the procedure and approaches to automating real estate appraisal is an important condition for improving e-government on the basis of one of the key economic sectors throughout the state. The paper discusses a set of approaches to the analysis of factors affecting the pricing of objects that offer in a market of residential real estate. The components of the process of working with source data on real estate objects in Russia are described. Ways of extraction a structured description of particular factors, source data geocoding, merging data from various sources with the subsequent normalization of data for some factors are suggested. Testing of the proposed solutions was carried out on the basis of data sets for the Volgograd region: downloads from the ad placement site for the period from January to December 2018, data from the ReformaGKH website, the OpenStreetMap mapping project and the depersonalized information of the Unified State Register of Real Estate. Approaches to the analysis of physical (year of completion, type of object by period of construction, area of premises, number of floors of a building and floor of an apartment) and spatial characteristics of real estate objects were proposed and tested. The location quality factor is taken into account in the form of an integrated assessment of the results of the analysis of the density map of social infrastructure objects location. In general, the work offers step-by-step instructions on the formation and analysis of the information base, indicating specific sources and methods for calculating valuations, applicable for any region of Russia.