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Microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors

A technology of micro-simulation and model selection, applied in the field of simulation prediction, which can solve problems such as missing housing choices and providing scientific choices and decision-making suggestions

Inactive Publication Date: 2014-06-04
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, at the present stage, there is no in-depth study of the factors considered by the two types of renters and house buyers when making housing choices. In the micro-simulation method, there is no research on the models of renting houses and house purchases. There are certain deficiencies in the field of decision-making and analysis of urban land planning policies, and it is impossible to provide scientific choices and decision-making suggestions for the housing choices of residents with different needs

Method used

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  • Microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors
  • Microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors
  • Microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors

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Embodiment 1

[0075] Embodiment 1: The present invention provides a dynamic micro-simulation method of a housing selection model based on two types of selectors who rent a house and buy a house. The operation flow chart of the micro-simulation method of the housing selection model of the present invention can be found in figure 1 , the specific steps are:

[0076] Step 1: Through the research and analysis of the type of chooser, the actual selection situation, and the factors considered in the selection of the two types of choosers, renters and buyers, obtain the housing selection factors of the two types of choosers, and according to the type of chooser and The housing selection factors of the two types of selectors determine the utility variables of the sub-models of renting and buying houses.

[0077] For house buyers, the main housing selection factors considered are housing price, transportation convenience, work location, educational resources, public facilities, and environment; for ...

Embodiment 2

[0141] Embodiment 2: A dynamic micro-simulation method of a housing selection model based on two types of selectors, renters and buyers, provided by the present invention is applied to the simulated simulation prediction of population distribution and income in urban areas. The model established in this embodiment dynamically describes the land use information of Wuchang District, Hongshan District, and Qingshan District of Wuhan City, Hubei Province, as well as the population distribution and income distribution of these regions. This model takes the above-mentioned regional population distribution and income distribution in 2013 as the base year of the forecast model. Figure 7 and Figure 14 They are the population distribution and income distribution maps of the above-mentioned domains in 2013 output by computer simulation, and the changes in the population distribution and income distribution of the above-mentioned regions from 2014 to 2019 are predicted according to the ...

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Abstract

The invention relates to a microscopic simulation method based on house selecting models of house-renting selectors and house selecting models of house-purchasing selectors. According to the method, the selection influence factors of the two kinds of selectors at house selecting time are researched, house selecting sub-models of the two kinds of the selectors are established, the utility probability is calculated through a multiple discrete selection method, the utility equation coefficient is estimated through the maximum likelihood estimation method, and the contribution degree, the credibility and the fit goodness of the sub-models can be detected through t statistic value and the adjustable log-likelihood ratio. By the adoption of the method, the house selecting behavior of townsfolk can be simulated, scientific, effective and global decision suggestions can be given to individual house selection of residents, changes of city land utilization can be effectively simulated and predicted, and auxiliary decision support is provided for city construction, management and planning work.

Description

technical field [0001] The invention relates to a simulation prediction method, in particular to a microcosmic simulation method based on a housing selection model of two types of selectors who rent a house and purchase a house. Background technique [0002] As a complex giant system, a city is constantly experiencing the process of urban growth, urban renewal, and urban decline along with the flow and transformation of capital, information, population, technology and other elements inside and outside the system. In order to meet the requirements of current urban development and planning, it is necessary to establish a scientific urban planning system, make scientific, overall and sustainable planning decisions for urban planning areas, and simulate the basic laws of urban development through urban planning models. As the urban system becomes more complex and the subjects in the city are closely linked together, smart city planning is no longer a solution to a single problem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/16
Inventor 许进方思雨陈丽锋林可儿
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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