Artificial intelligence and 'waves of complexity' for urban dynamics

Urban land use change is a complex and dynamic process. It is important to understand the complexity and dynamics in the change process of urban land (and choose correct data models) by analyzing the driving forces and its associated dynamics, in order to predict changes in the speed, intensity or trajectory (the process known as bifurcations or phase-transitions). For this purpose, this paper firstly demonstrates how artificial intelligence (AI) approaches provide solutions to aid urban land dynamics modelling. Then, we try to build the relationship among the three dimensions of urban land dynamics, planning support and AI infrastructure. Furthermore, we clarify the of different solutions space provided by AI approaches with the waves of complexity in urban systems in order to understand how to choose the best data model to represent different phenomena in urban systems through the analysis of bifurcations and phase-transitions.