The current article puts the model and approach to scenario development through a further test and investigates the plausibility of the generated scenarios. From the analysis four clusters emerged that present modes of expansion: compact, medium compact, medium dispersed and dispersed. The data-driven clusters represent substantially different, yet plausible future urbanisation patterns across the spectrum of possible developments. One aim of the cluster analysis was to establish a data-driven approach to the development of urban growth scenarios. We subsequently estimated the parameters of the model for multiple time periods and functional urban areas across Europe and applied cluster analysis on the estimated parameter sets (Yu et al. 2021) that simulates urban expansion as a multi-scale dynamic process. In earlier work, we developed a model (Yu et al.
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