As part of the CRC for Low Carbon Living this scoping paper focuses on the Low Carbon Precincts (Program 2) however, it also examines aspects of how the Engaged Communities (Program 3) can help with the implementation of low carbon precincts e.g.
In an era of smart cities, planning support systems (PSS) offer the potential to harness the power of urban big data and support land-use and transport planning. PSS encapsulate data-driven modelling approaches for envisioning alternative future cities scenarios. They are widely available but have limited adoption in the planning profession (Russo, Lanzilotti, Costabile, & Pettit, 2017).
Australian cities, especially the four big ones, are growing rapidly. Their growth enables many agglomeration benefits and creates many social and environmental impacts. This report examines new approaches to resolving how we can grow to create new opportunities for our children and grandchildren but at the same time manage the social and environmental issues associated with such growth.
Rapid urbanisation generates risks and opportunities for sustainable development. Urban policy and decision makers are challenged by the complexity of cities as social–ecological–technical systems. Consequently there is an increasing need for collaborative knowledge development that supports a whole-of-system view, and transformational change at multiple scales.
The emerging ‘grand challenges’ of climate change, resource scarcity and population growth present a risk nexus to cities in the Anthropocene. This article discusses the potential that rapid urbanisation presents to help mitigate these risks through large-scale transitions if future urban development is delivered using evidence-based policies that promote regenerative urban outcomes (e.g.
The combined challenges of climate change, finite resources, population growth and aging infrastructure demand a shift toward more resource-efficient, low-carbon sustainable cities. This may be achieved through new forms of eco-infrastructure delivered at the district scale.