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Research On Evolutionary Game Theory Of Multi Agent Behavior Decision For Green Renovation Of Old Residential Communities

Posted on:2024-07-08Degree:MasterType:Thesis
Country:ChinaCandidate:X Q FanFull Text:PDF
GTID:2530307076497934Subject:Management Science and Engineering
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Driven by carbon neutrality and carbon peaking policies,green development has gradually become the core of urban renewal.As a livelihood project to promote energy conservation and emission reduction,improve the environment,and build urban ecological civilization,the green renovation of old residential communities is an important measure to respond to the national urban renewal and sustainable development policy,improve people’s happiness,and create social and economic benefits.However,due to incomplete laws and regulations,high requirements for green renovation technology,long investment payback period,and lack of awareness of green renovation,the development of green renovation work in old residential communities in China has been in a passive state for a long time,and there is an urgent need for multiple entities to jointly promote it.Therefore,it is necessary to analyze the behavioral logic and decision-making basis of core stakeholders in the green renovation of old residential communities,and study the strategic interaction and evolution process among multiple stakeholders from the perspective of dynamic games,in order to achieve coordinated development of green renovation of old residential communities,which has practical significance for promoting sustainable urban renewal in China.This article combines the current development status of green renovation in old residential communities in China,based on behavioral decision-making theory and stakeholder theory,and conducts research around the core issue of "how to promote the development of green renovation in old residential communities" through methods such as evolutionary game analysis and simulation.Analyze the behavioral characteristics and interest relationships of core stakeholders,identify tripartite entities(local governments,market transformation parties,and resident groups)as the research object,construct a tripartite evolutionary game model for green renovation of old residential communities,analyze the evolutionary stability strategies and system evolution paths of core stakeholders in each game stage,and study the influencing factors of behavior decision-making of stakeholders.And with the help of Matlab R2022 numerical simulation,the interaction and influence mechanism between agents is demonstrated,exploring the evolution paths and parameters of multiple agents in different game stages and their impact on agent behavior decision-making,providing new ideas for the research of multi-agent behavior decision-making.Research has shown that:(1)The relationship between the stakeholders restricts and promotes each other,and jointly promotes the green renovation and development of the old residential communities;(2)The probability of strategy selection among various parties is related to the additional profits and incremental costs they receive.The size of various profits generated by the project is positively correlated with the decision-making of the main body to promote green renovation development;(3)The behavior decisions of game subjects change with the changes of game stages,from the initial stage to the government led stage,and ultimately develop into a tripartite collaborative strategy;(4)The decision-making direction and speed of the game subject are influenced by parameters such as local government guidance methods.Reasonable incentives,supervision,and punishment methods,as well as considerable profits and lower costs,help drive the green renovation decision-making of the subject.Finally,this study proposes countermeasures and suggestions for various stakeholders to promote the development of green renovation in old residential communities,providing scientific and useful strategic suggestions for the development of green renovation in old residential communities in China.
Keywords/Search Tags:Green renovation of old residential communities, Stakeholder, Behavioral decision-making, Evolutionary game, Numerical simulation
PDF Full Text Request
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