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.
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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: 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 ...
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