Multi-agent urban expansion simulation method based on land acquisition process competition result

Abstract

The invention discloses a multi-agent urban expansion simulation method based on a land acquisition process competition result. The multi-agent urban expansion simulation method comprises the steps of firstly calculating the profits of four policies of competition between the government and peasant agents in the land acquisition process within each grid range according to gridded data quantification, determining whether the policy set has a Nash equilibrium solution, and if the Nash equilibrium solution is available, combining all the grids having the Nash equilibrium solution to form an urban expansion change optional region, and within the optional region, deciding which grids z in the optional region are finally turned to urban land from non-urban land according to the house-purchase site selection preference of the resident agents of different types. The multi-agent urban expansion simulation method based on the land acquisition process competition result has the advantages that the competition process of the government and the peasants in the land acquisition process is quantitatively expressed, the alternative region of urban expansion can be obtained accurately, and the final simulation result also indicates that the multi-agent urban expansion simulation method is greatly improved in accuracy in contrast with a traditional cellular automaton simulation method.

Description

Technical field [0001] The invention belongs to the field of urban planning, and relates to a city expansion prediction simulation method, in particular to a multi-agent city expansion simulation based on the game result of land acquisition process that uses geographic information system technology, remote sensing data and city expansion model to predict the future development of the city method. Background technique [0002] Since the reform and opening up, China’s rapid economic expansion and massive increase in urban population have transformed from a country dominated by an agricultural population to an urban population. At the end of 2011, the urbanization rate of China's population has reached 51.27%. However, the imbalance of land use structure and the exhaustion of land resources in the process of urbanization have attracted great attention from the government and academia. Therefore, the development of temporal and spatial dynamic simulation of urban expansion, reveali...

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Problems solved by technology

However, the traditional CA model also has some inherent defects: (1) CA is difficult to capture the macro-socioeconomic driving factors of urban landscape dynamic changes; (3) CA often ignores the connection between cells and between cells and the whole on a large spatial scale

In urban sprawl modeling, game theory models are often used to qualitatively analyze the decision-making process among agents, and lack quantitative analysis. Therefore, the existing multi-agent-based urban sprawl technology or model urgently needs a method that can analyze urban land A new technique for quantitatively expressing the game strategies of each agent in the process of type change

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