A calculation method of second-hand house price index based on big data
A technology of price index and calculation method, applied in the direction of calculation, data processing application, market forecast, etc., can solve the problem that the index calculation is quite difficult, avoid collinearity problem and series correlation, data sampling is convenient and accurate The effect of sample size
Inactive Publication Date: 2019-01-18
HANGZHOU ZHONGFANG INFORMATION TECH
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However, the hedonic price method involves multiple variables in terms of housing structure characteristics, housing environmental quality, and housing location. At present, there is no unified index and measurement method in the relevant research in my country.
In addition, because the hedonic price method requires a large number of housing characteristic variables to be collected, and different cities or different development stages of the same city, the characteristic variables of housing may also vary greatly. If there is not enough data volume and data quality as support, it will As a result, the calculation of the index is quite difficult in actual practice
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[0039] The embodiments of the present invention are described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways as defined and covered by the claims.
[0040] The specific implementation of the present invention will be described below by taking Hangzhou as an example. like figure 1 As shown, a method for calculating second-hand housing price index based on big data, the method steps are:
[0041] S1: Data collection, labeling, classification, matching and cleaning;
[0042] Firstly, the large second-hand housing database and GIS technology are used to obtain the second-hand housing transaction information and housing characteristics of each community within the area to be calculated and the time span. In this embodiment, the database data comes from the big data management system of the Hangzhou real estate market research service platform, and the calculation area is divided into Hangzhou city i...
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The invention discloses a second-hand house price index calculation method based on big data. The method comprises the following steps: S1, data collection, marking, classification, matching and cleaning; S2: selection and quantification of housing characteristic variables; S3: construction of the logarithmic hedonic price model of each period; S4: calculation of the hedonic price for the selectedbase period and the reporting period of the price index to be calculated respectively; S5: calculation the second-hand house price index for the current reporting period. Based on the real estate bigdata, the method calculates the second-hand house price index by using the modified characteristic price method, and improves the accuracy and reliability of the index.
Description
technical field [0001] The present invention relates to the field of information technology application, in particular to a method for calculating second-hand house price index based on big data. Background technique [0002] The housing issue has become the most concerned livelihood issue in China from all walks of life, and it is an important factor affecting the happiness of urban residents. Among them, the housing price level is the key issue in the housing issue. Urban housing has the characteristics of durability, which leads to the housing market involving newly developed housing and stock housing markets, that is, new commercial housing and second-hand stock housing. With the rapid development of my country's real estate industry, second-hand housing has gradually become the main force of market transactions. In some areas, the transaction volume of second-hand housing has far exceeded that of newly-built commercial housing. Changes in second-hand housing prices have...
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IPC IPC(8): G06Q30/02G06Q50/16
CPCG06Q30/0206G06Q30/0278G06Q50/16
Inventor 陈璐黄晨鸣梁丽燕
Owner HANGZHOU ZHONGFANG INFORMATION TECH