A micro-simulation method based on the housing choice model of two types of renters and buyers

A technology of micro-simulation and selection model, applied in the field of simulation and prediction, can solve the problem of not being able to provide scientific selection decision-making suggestions, lack of housing selection, etc.

CN103839113BInactive Publication Date: 2017-02-15CHINA UNIV OF GEOSCIENCES (WUHAN)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2017-02-15
Estimated Expiration
Not applicable · inactive patent

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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.
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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...

Examples

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: First, through the research and analysis of the types of renters and buyers, the actual selection situation, and the factors considered by the renters and buyers in the actual selection, the housing selection factors of the renters and buyers are obtained, and based on The type of chooser and the housing choice factors of the two types of choosers determine the utility variables of the two 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; fo...

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 ...