Method for establishing multi-agent model for residential area selection

A technology of multi-agent and establishment method, applied in the direction of instruments, data processing applications, resources, etc., can solve the problem of weak attention in the interaction of adjacent subjects, and achieve the effect of good decision-making

Pending Publication Date: 2019-11-22
沈振江 +1
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AI Technical Summary

Problems solved by technology

[0002] At present, most residential site selection simulations are integrated frameworks that simulate the interactive process of land use, transportation, and housing selection. They have a str

Method used

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  • Method for establishing multi-agent model for residential area selection
  • Method for establishing multi-agent model for residential area selection
  • Method for establishing multi-agent model for residential area selection

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Embodiment Construction

[0048] A method for establishing a multi-agent model of residential location selection, comprising the steps of:

[0049] Step 1: The establishment of the adaptive behavior model of the family agent in the process of residential site selection, including:

[0050] Step 1.1: home agent settings:

[0051] Each family agent has the following attributes: age, marital status, members, savings, income, and transportation;

[0052] Each family agent has seven life cycle stages: birth, marriage, raising children, children leaving home, retirement, single elderly, and death;

[0053] Step 1.2: Judgment of the home agent's satisfaction with the current address:

[0054]

[0055] where n=1,...,18; u=1,...,6 (1)

[0056] 0threshold <4 (2)

[0057] S i >S threshlold (3)

[0058] S i ≤S threshlold (4)

[0059] where S i is family i’s satisfaction with the current residential area, b ugij is the regression coefficient vector of variable j, and u represents the life cycle stage...

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Abstract

The invention discloses a method for establishing a multi-agent model for residential area selection. The method comprises the following steps: establishing an adaptive behavior model of a household agent in a residential site selection process, and setting the household agent, wherein each household agent has the following attributes: age, marriage status, members, deposit, income and vehicles; wherein each household intelligent agent has seven life cycle stages: birth, marriage, child tending, child leaving home, retirement, elderly people alone and death; judging the satisfaction degree ofthe home agent to the current address. For each family agent, when a family is moved, the family agent must be based on the necessity of a new life stage. Different facilities of the residential areaare compared to adapt to new places to input city information and family information. Parameters are adjusted, and the selection of resident living site selection is judged. The model can simulate theresident residence relocation process under the influence of urban central area residence lifting policies.

Description

【Technical field】 [0001] The invention relates to a method for establishing a multi-agent model for residential location selection. 【Background technique】 [0002] At present, most residential site selection simulations are integrated frameworks that simulate the interactive process of land use, transportation, and housing selection. They have a strong ability to simulate spatial processes, but relatively weak attention to the interaction between adjacent subjects, which cannot be compared with Government policies form a strong interaction. 【Content of invention】 [0003] The technical problem to be solved by the present invention is to provide a method for establishing a multi-agent model for residential location selection, which can simulate the residential relocation process under the influence of the housing promotion policy in the city center. [0004] The present invention is achieved like this: [0005] A method for establishing a multi-agent model of residential ...

Claims

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Application Information

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IPC IPC(8): G06Q50/26G06Q10/06
CPCG06Q50/26G06Q10/063
Inventor 沈振江马妍
Owner 沈振江
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