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Transport

Conference paper

Scale, territory, and the organisation of the state in transport planning in Melbourne, Australia, and Toronto, Canada


Transport planning is the set of state-led practices that seek to improve (using) mobility, with reference to an idealised future imaginary. This research characterises how scale is deployed in practices of transport planning, with a focus on the Melbourne (Australia) and Toronto (Canada) urban regions between 2000 and 2015.
Conference paper

How much transport is shared? Current and new ways to measure shared mobility for Australian cities – the case of South East Queensland


Transport policy is overwhelmingly focused on increasing transport supply by building more infrastructure. Demand-side responses such as increase “sharing” of modes receive comparatively less research and policy attention. This paper explores fundamental questions about sharing in Australian cities – How should we define and measure sharing? How much transport is shared? How could we better...
Conference paper

Trackless trams and Australian urban fabric


This paper discusses both the city shaping possibilities of trackless tram systems and the challenges and opportunities inherent in integrating new technologies into existing city systems.
Conference paper

Melbourne’s growth area infrastructure contribution and the funding of public transport in outer suburbs


in 2010 the Growth Area Infrastructure Contribution (GAIC) fund was introduced to partially offset (up to 15%) the cost of new ‘essential state-funded’ infrastructure in growth areas on Melbourne’s fringe. This paper examines the GAIC fund and within this, its use for public transport – towards which 50% of GAIC funds are to be directed.
Conference paper

Will driverless cars produce walkable cities for Australia?


This paper draws on design research exploring detailed scenarios for driverless cars as primary access to suburban rail stations in Melbourne. The findings question the extent to which walkable urbanism is likely to result in a driverless future.