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Using linear regression model on the combination of behavioral decision theory to analyse the data of second-hand housing in 2505 Beijing districts and 2343 Chengdu districts, explore the amount of second-hand housing online attention, the distance from the subway and build the length of time for consumers offline check the influence of second-hand housing, the study shows that the secondary line of concern, the distance from the subway and build the length of time will have a significant impact on consumers' choice of offline viewing, based on marketing for real estate agents website of second-hand housing to make the corresponding guidance.

Research on the Online Factors of Second-Hand Houses that Affect Consumers’ Off-Line Viewing