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Urban expansion prediction method based on rationality of house price

A technology of urban expansion and forecasting methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as lack of rational evaluation and lack of comprehensive urban perspective research

Pending Publication Date: 2021-08-10
NANJING UNIV
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Problems solved by technology

First, the final determination of the rationality of housing prices in most studies is mainly to determine whether residents have affordability, that is, the coupling relationship between residents’ income and housing prices, and there is a lack of research from a comprehensive urban perspective. Second, by constructing housing price changes Model, based on model analysis, analyzes the influencing factors of housing prices, and explores the factors that are positively correlated with housing prices and factors that are negatively correlated (Malpezzi S, 1999). Sexual evaluation is still a little lacking

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  • Urban expansion prediction method based on rationality of house price
  • Urban expansion prediction method based on rationality of house price
  • Urban expansion prediction method based on rationality of house price

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Embodiment Construction

[0025] The present invention will be described in detail below according to the accompanying drawings, so as to make the technical route and operation steps of the present invention clearer.

[0026] figure 1 Be a kind of flow chart of the urban sprawl prediction method based on housing price rationality of the present invention, concrete steps are as follows:

[0027] The urban expansion prediction method based on the rationality of housing prices includes the following steps:

[0028] Step 1. Data standardization——Standardize the original data of cities in the index system of comprehensive strength and development prospects of cities, and obtain the standardized index data U of each city ij , where U ij is the standardized data of the i-th indicator data of city j, 1≤j≤n, n is the number of cities, 1≤i≤m, m is the number of indicators.

[0029] In this step, the original data of the city include: per capita GDP, GDP growth rate, number of listed companies, per capita inve...

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Abstract

The invention relates to a house price rationality-based city expansion prediction method. The method comprises the steps of data standardization, principal component analysis, comprehensive index calculation, coupling degree measurement, time sequence analysis and city expansion prediction. According to the invention, for each provincial city or direct jurisdiction, the future development and expansion direction is further predicted and discussed according to the rationality of the house price of the city.

Description

technical field [0001] The invention relates to a method for predicting urban expansion based on housing price rationality. It belongs to the technical field of remote sensing geoscience application. [0002] technical background [0003] The rapid development of the real estate market has also accelerated the process of urbanization in China. The rise and fall of housing prices has become the focus of most attention. At the same time, the inconsistency between urban housing prices and urban comprehensive strength will cause excessive urbanization or shallow urbanization (Liu, 2018), so the prediction of housing price rationality has great significance for home buyers. [0004] The low level of rationality of housing prices is concentrated in provincial capitals and municipalities directly under the Central Government. Facing the surrounding low housing prices and unreasonable housing prices in provincial capital cities, residents of provincial capital cities will appear to ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/16
CPCG06Q10/04G06Q10/06393G06Q50/16
Inventor 周琛徐云耘姜朋辉李满春陈振杰
Owner NANJING UNIV