In the provision of urban residential areas, private land developers play critical roles in nearly all stages of the land development process. Despite their important role little is known about how the spatial decisions of individual developers collectively influence urban growth. This project employs an agent-based modelling approach to capture the spatial decisions of private land developers in shaping new urban forms. By drawing on microeconomic theory, the model simulates urban growth in the Jakarta Metropolitan Area, Indonesia, under di erent scenarios that reflect the decision behaviours of di erent types of developers. Results reveal that larger developers favour sites that are more proximate to the city centre whilst smaller developers prefer sites that are located further away from the city, that drive a more sprawled urban form. Our findings show that new urban areas are generated by di erent developers through di erent processes. The profit maximisation behaviour by developers with large capital reserves is more predictable than those with small capital funds. The imbalance in capital holdings by di erent types of developers interacts with one another to exert adverse impacts on the urban development process. This project provides supporting evidence highlighting the need for urban policy to regulate urban expansion and achieve more sustainable urban development outcomes in a developing world context.
It is part of Dr Agung Wahyudi's PhD project and has produced 5 publications:
Wahyudi, A., Liu, Y., & Corcoran, J. (2019). Generating Different Urban Land Configurations Based on Heterogeneous Decisions of Private Land Developers: An Agent-Based Approach in a Developing Country Context. ISPRS International Journal of Geo-Information, 8(5), 229.
Wahyudi, A., Liu, Y., & Corcoran, J. (2018). Combining Landsat and landscape metrics to analyse large-scale urban land cover change: a case study in the Jakarta Metropolitan Area. Journal of Spatial Science, 1-20.
Wahyudi, A., & Liu, Y. (2016). Cellular automata for urban growth modelling. International Review for Spatial Planning and Sustainable Development, 4(2), 60-75.
Wahyudi, A., & Liu, Y. (2015). Spatial dynamic models for inclusive cities: A brief concept of cellular automata (CA) and agent-based model (ABM). Journal of Regional and City Planning, 26(1), 54-70.
Wahyudi, A., & Liu, Y. (2013). Cellular automata for urban growth modeling: a chronological review on factors in transition rules. In 13th International conference on computers in urban planning and urban Management (CUPUM 2013).