Hoon Han’s research while affiliated with UNSW Sydney and other places

This paper uses cellular automata (CA) modelling to simulate possible patterns of urban growth for Nusantara–Indonesia’s new capital. The modelling uses criteria such as projected population growth and planned development stages and a range of relevant factors that influence urban development. Further the study simulates the possible impact of future urban growth on key biodiversity areas (KBAs). Two scenarios were modelled to simulate urban growth patterns–(1) the nature sensitive city and (2) the Indonesian government’s current plan. Results of the scenario-based CA modelling demonstrate that scenario 1 offers a more sustainable and liveable approach to urban growth, despite its larger land footprint. This is achieved by preserving protected and key biodiversity areas, which are essential for the long-term well-being and resilience of the environment. While scenario 2 is more land-efficient, it presents a possible risk to the overall ecological integrity and liveability of the metropolis by impinging into key biodiversity areas. The study’s cellular automata approach and methodology can be employed for urban planning and biodiversity impact assessment in similar contexts of new city development.

Land suitability analysis is a process of evaluating various criteria to assess the appropriateness of land for specific purposes, such as agriculture, urban development, conservation, or infrastructure projects. This paper integrates multi-criteria analysis (MCA) and geographic information systems (GIS) to assess potential residential development suitability in Nusantara—the new Indonesian Capital. This study used two models to evaluate residential development suitability—a simple suitability model with equal criteria weight and a weighted suitability model using the analytic hierarchy process (AHP) approach with two scenarios (waterfront city and biodiversity-positive city). Various criteria, including physical attributes, natural preservation and protection, blue amenities, transport accessibility, and natural disaster risks, were analysed. Integrating MCA with the AHP approach and GIS can be considered an advanced methodology. The simple suitability model is relatively more straightforward than the weighted suitability model since it does not require a weighting process. However, the weighted suitability model produced more nuanced results for the case study as the approach more accurately models real-world conditions. The weighted suitability analysis showed that most of the western and eastern parts of the new capital are highly suitable for future residential development. Comparing the Indonesian government’s planned residential areas with the result of the weighted suitability model for the biodiversity-positive city scenario showed that most planned residential areas are in highly suitable areas. The methodologies in the paper can be extended to similar contexts in different geographical areas.