基于系統(tǒng)動力學的城中村改造的三方演化博弈研究
[Abstract]:With the acceleration of urban development, the phenomenon of village in the city, which first appeared in the late 1980s, has become a common phenomenon since the middle and late 1990s. The problem of village in city is related to politics, economy, environment and many other aspects. Its existence is closely related to the historical development and production mechanism of the city, so it is an effective way to construct a harmonious society to reform the village in city reasonably. The process of rebuilding the village in the city is a multi-game process involving the stakeholders. Finding a proper transformation path is the key to solve the problem of the village in the city through appropriate methods and approaches. This research is divided into five parts. The first part briefly introduces the research background, significance and research content. The second part mainly introduces the theoretical basis of this paper, namely evolutionary game theory and system dynamics, and expounds its applicability. The third part qualitatively analyzes the game focus between the main players of the game, puts forward the hypothesis of the game and sets up the research parameters. On the basis of simply analyzing the benefits of game agents' strategies, the evolutionary game theory of the three-party game system in the process of village transformation in city is analyzed. The fourth part uses the theory method of system dynamics to simulate and analyze the evolution game system of the three-party stakeholders involved in the transformation of the village in the city, and find out the equilibrium state of the evolutionary game and the sensitivity of the relevant factors to the equilibrium state. The fifth part mainly summarizes the research conclusion of this paper, puts forward the targeted suggestions to the village transformation in the city, and points out the deficiency of this study and the future research direction.
【學位授予單位】:暨南大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:N941.3;TU984.114
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