Using Social Sciences to Enhance the Realism of Simulation for Complex Urban Environments

Combining Social, Environmental and Design Models to Support the Sustainable Development Goals

“…Human Decision-Making Submodels-Human Decision-Making submodels seek to simulate and predict the decisions made by an individual or a group of humans. Depending on the intended application, the computational method and underlying theory can vary immensely, from agent-based [43] to cellular automata (both of individuals in a crowd [44] and to en-masse urban development [45]) game-theoretic [46] [47] to combinations of multiple of these and others [48]. These models, perhaps more so than any of the other submodel types, pulls heavily from the social sciences, psychology and economics in particular.…”

Simulating Intraurban Land Use Dynamics under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian

“…Cities are open and large complex systems with complex characteristics such as uncertainty, nonlinearity, and selforganization. The interaction between the internal local behavior and the global order leads to complexities in the variation process of urban land use [1][2][3][4][5][6][7][8]. In order to reveal the evolution of urban land use, scholars have proposed many models.…”