Urban modelling with cellular automata (CA) has been the most prominent approach in urban modelling. The adoption of CA in urban model using factors such as slope, or previous land cover maps aims to replicate the physical structure of urban areas. The adoption of CA in urban models, however, has limitation. Urban CA models do not account for diverse human behaviours in the model.

There are various actors that involve and influence the urban growths, such as, developers, home buyers, investors, regulators, and so on. The emergence of urban areas as a global pattern from micro-scale (individual) interaction by actors cannot be simplified using typical static approach such in conventional transition rule in urban CA models.

Agent-based Modelling (ABM) is the new approach in urban modelling that accounts for the human behaviours variable. The development of ABM however, still left large room for improvement. Two knowledge gaps are yet to be filled. The first, application of ABM to simulate the interrelated behaviour of actors (the agent) and its impact on the spatial pattern of urban growths has not been understood, and the second, there has been inadequate demonstration of ABM in developing countries. This study is therefore devoted to fill these gaps by implementing ABM in the developing countries focusing on the interrelated behaviours of the urban agents using hybrid approach in which CA is coupled with the ABM.

Funding: IPRS, UQ Centennial

Advisors: Dr Yan Liu, Assoc Prof Jonathan Corcoran

Project members

Agung Wahyudi

Agung Wahyudi

PhD Graduate 2017