Tag Archives: machine-learning

Agent-based models (ABMs) in urban modelling simulate how individual entities—such as residents, businesses, and vehicles—interact within cities to collectively produce complex urban patterns. They are particularly useful for exploring how micro-level decisions create macro-level phenomena in urban systems such as … Continue reading →