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Recent years have seen a marked change in how geographical systems are both conceptualised and simulated. Driven by new forms of rich data sources and the development of individuallevel models, our understanding and modelling of geographical systems has changed from examining static aggregate patterns to that of how such patterns emerge from micro-level interactions (Batty 2008). Much of this new thinking has been inspired by viewing geographical systems from a complexity perspective, with researchers becoming aware of the need to be able to simulate different components, their interconnections, behaviour, feedback and emergence (for example, O’Sullivan 2008; Torrens 2010). This chimes with ongoing thought that social systems are driven and shaped by individual (human) decisions and behaviours (O’Sullivan et al. 2012). These individuals are in turn linked by social and spatial networks over …