Abstract
The artificial society modeling approach for studying the behavior of complex systems has gained wide applications in recent years. The integration of this approach with geographical theories provides an inter-disciplinary approach to the study of complex human-nature interactions. By deploying widely applied RePast and Eclipse as basic tools, this study develops an artificial society model that is able to capture the characteristics of geographical systems. Consequently, DLA (diffusion limited aggregation) algorithms are applied to generate and record each agent's pathway. The simulated results demonstrate that the transportation networks produced with DLA algorithms have a spatial pattern very similar to the form of urban areas exhibited in real world.
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