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Complex urban system simulations based on generalized information entropy principle

The generalized information entropy (GIE) has been introduced to describe complex interactions among agents in complex urban system (CUS). Basing on maximum generalized information entropy principle (MGIEP), a dynamic model and detailed simulations that can reveal agents' interactions and evolutionary mechanism of complex urban patterns are then proposed. Urban evolutionary pattern analyses of Shanghai City in China are conducted as a typical application. It is confident that the present framework can provide a brand new approach to investigate general CUS.