Abstract
Housing is a typical kind of heterogeneity goods, namely each house contains a serious of different attributes and housing price is regarded as every attribute of comprehensive value judgment to family.Taking second-hand housing of Kunming city as the research object, this paper uses Hedonic model and WEB information to study the quantitative relationship between housing price and housing characteristic. The results show that semi-log form characteristic function fits the highest degree in second-hand housing of location attribute and the regression coefficient shows that residential link location is the largest factor affecting house price. Housing price influencing degree by residential property in turn is link location,rail traffic and property fees,volume rate,education facilities,bus line,decoration and construction area,and the main influence factors and influence degree of housing price vary from area to area.
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