The outcome of each scenario was evaluated based on the spatial equity factors. Six scenarios were simulated based on the Semnan’s approved master plan and considering the stochastic perturbation. The proposed model was implemented in the region of Roozieh in the city of Semnan. The optimal decision between the agents is obtained using the backward induction process. Game theory is used to simulate and quantify the strategic behavior of these two agents. Land-use changes are defined as an outcome of the interaction between two types of decision-makers (agents): Land Developer and Municipality. In the proposed approach, the suitability of developed land-use types is evaluated by using the multi-criteria analysis. This model quantifies and simulates the land-use interactions concerning regulations and guidelines of the master plan. This study presents an integrated model of cellular automata, multi-criteria analysis, game-theory and agent-based methods for land-use planning and simulation of urban development scenarios based on growth and distribution of the population. Urban development can be considered as a function of strategic behavior of the involved agents, which is affected by various factors such as land use interactions, density of population, economic situation, etc. Urban growth is a dynamic and evolutionary spatial and social process.
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