Planning Australia’s major cities: Dorte Ekelund Executive Director Major Cities Unit Presentation to the NATSTATS 2010 Conference, Sydney 16 September 2010 Creating an evidence base
Federal Government involvement in cities - State of Australian Cities National urban policy What do we need to know? - Defining urban - Indicators for effective urban policy and planning What are we measuring? - Reliability and consistency - Causal versus correlated data Outline
Transforming our Cities Transforming our Cities 1950s - Housing 1970s - Services 1990s - Regeneration Infrastructure Australia - Major Cities Unit - COAG Reform Pyrmont Bridge 2006
A national objective for cities that they are: - Globally competitive - Productive - Sustainable - Liveable - Socially inclusive National criteria for strategic planning systems - State governments to meet criteria by Linked to federal infrastructure funding National planning criteria for cities
Developing national urban policy Phase 1 Gather the evidence State of Australian Cities 2010 Phase 2 Prepare options A strategy for Australian Cities
A national snapshot of Australia’s cities An evidence base to: - generate debate - present challenges - highlight trends - measure progress - develop policy State of Australian Cities 2010
Defining ‘urban’ - What is a city?
Australia: an ‘urban’ nation 75 % population live in 17 major cities over 100,000 82% in cities over 30,000
Where are city boundaries? Spatial aggregation - Statistical v Local Government v Metropolitan v Conurbation - Cities within cities - Expanding urban boundaries - Peri-urban areas Policy implications - Tracking change over time - Scale - Density - ‘Per capita’ indicators
Themes - Productivity - Sustainability - Liveability What do we need to know? - Where are we now? - Where are we going? What are we measuring? - Gaps - Overlaps - Interrelationships - Causes or correlations - Interpreting the data City indicators
Sydney Melbourne Brisbane Perth Adelaide Hobart Darwin Canberra Population growth Source: Australian Bureau of Statistics (2009) Population Projections ABS cat
Population projections Multiple projections - ABS v Treasury IGR 3 v States v Agencies (eg. Health) Policy sensitive projections - Components of growth - Projected v Planned v Targets - eg. Fertility v Immigration v Labour force Spatial projections - Combining location and nature of growth What are we measuring?
Economic importance of cities 76% of employment 80% of economic activity (GDP) 84% of economic growth ( ) Gateways to the global economyProductivity
Isolating factors in the city system - Eg. Urban congestion Dangers of extrapolating state data to cities - Eg. Queensland Identifying contribution of cities to regional economic activity Eg. mining and agriculture (research, distribution, administration, finance) What are we measuring? Perth Brisbane Sydney Melbourne Adelaide GDP per Capita ($US ‘000) SOAC 2010 p. 18 Contribution of cities to productivity
Total Greenhouse Contribution of Australian Transport Note: total warming effects - includes both directly radiative gases and indirectly radiative gases. Sources: BTRE (2006), BITRE (2009), BITRE estimates Base case projections Emissions for international transport, to and from Australia, are estimated using half of total fuel use.Sustainability
Recent trends in car use Recent trends in car use What are we measuring? Source: Stanley, J Moving People Measures of progress
Houses are getting bigger... but households are getting smaller! Source: BITRE analysis of ABS 2007 Cat. No Liveability Housing diversity Housing diversity
What are we measuring? Community wellbeing indicators Need for indicators Accessibility Natural landscapes Quality open space Safety Legibility What’s important to whom? Real Perceived Quality Quantity
Indices City indices Issue- specific indices SEIFA VAMPIRE Social inclusion Resources + Participation - Choice - Opportunity - Capability Interpreting the data Brisbane 2006 Dodson and Sipe (2008) Unsettling the suburbs. Urban Research Program, Griffith University
Conclusion Limitations - Data gaps - especially about the contribution of cities to productivity, sustainability, liveability - Lack of comparability - Different scales - Different methodologies - Different purposes
Conclusion Need a suite of indicators - Consistent geographies - Consistent time series data - More open data sources - Measures of progress not just of problems - Separating causes from correlations - Better appreciation of interrelationships between built environment and economic, social and environmental outcomes - Considering alternative futures
“If you think you know all about a city, it’s probably just a town.” Peter Carey, 30 Days in Sydney. Pyrmont Bridge c1900 Complex systems
Thank you Pyrmont Bridge 2006 Dynamic systems