| At present, domestic scholars have made more research in the field of real estate appraisal results, formed by market comparison method, cost method, the evaluation methods of income reduction method is given priority to, but most of these methods from construction features, location factor, balance between supply and demand, economic development level and other Angle to estimate of real estate prices, the lack of considering the surrounding ecological landscape factors. Therefore, as the research object, based on the housing price price model by building features, comprehensive analysis of implicit in residential property prices in all kinds of ecological landscape value, main conclusions are as follows:First of all, in this paper, the characteristics of the price law, etc. This paper introduces the basic theory of environmental values, summed up; According to the existing research both at home and abroad and the actual situation of nanning, the characteristics of the price model of the dependent variable and independent variable selection and Settings; Determine the five city of nanning as the study area, do not include real estate development is not yet mature nanning ning area; By eliminating outliers and incomplete information is not in conformity with the requirement of sample, the sample data of 1395 effective, 263 residential district, and according to certain quantitative criteria to quantify the sample data.Secondly, this paper use the GIS software to vector nanning city ecological landscape, residential area, and the residential district residential area average, in districts and counties, building attribute assignment, such as the age finally based on residential district average property values mapped the nanning city housing prices contour map, a preliminary analysis of the urban ecological landscape and the relationship between the housing price.Then, this paper has analyzed the urban ecological landscape Hedonic model was constructed to house prices, the influence of the model results show that the yongjiang river park and nearest distance for both residential property prices have a negative impact, namely, as to the yongjiang river and park distance increasing recently, declining home prices; Residential area whether owned or adjacent to mountain view and small rivers and lakes has a significant influence on the rising value of their homes; Yongjiang river the extent of impact on the surrounding residential limits, by calculating the influence scope of about 0.714 km.Finally, separately study the influence of the people’s park landscape of residential prices. The results show that the people’s park landscape has a significant influence on housing prices: the people’s park is obtained by model regression results in landscape price elasticity coefficient is 0.058, the residential area to the distance of the people’s park every fell 1%, house prices will rise by 0.058%; The figures of the people’s park landscape effective influence range of about 1.13 km, 1.13 kilometers in the people’s park landscape outside, the people’s park landscape has no effect on house prices. |
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