Understanding Cities - Part 2
Simplifying Complexity
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Modeling Urban Dynamics
This chapter explores cellular automata and agent-based modeling as techniques for understanding urban environments. It contrasts these models with traditional land use transportation models, emphasizing their ability to capture individual behavior and local interactions in urban settings. The discussion highlights the importance of integrating various modeling approaches for effective city planning and explores their applications in real-world scenarios like traffic management.
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