The dead end of demand modelling: supplying a futures-based public transport plan

This paper discusses the transport planning issues that are exposed when new accessibility tools have been employed, designed to address the challenge of providing accessibility by public transport as a serious alternative to car use. Research from case studies in Perth and Brisbane is reported. The paper discusses the benefits of focussing on metropolitan-wide supply side modelling as opposed to simply applying demand forecasts; the need to, and challenges of, setting benchmarks that define quality public transport and accessibility; the need for iterative review by setting long term visions and back-casting as well as looking forward from current city structures. The analysis has raised some interesting questions. It is evident that the past practice of incremental and ad hoc changes to the public transport network will not meet Australia’s transport challenges in a timely fashion. What is needed is a step-change, but this requires both a long term view of future city size and structure (a challenge for land use planners who have thus far not planned in this way) and considerable public funding in the short term (where public transport has traditionally been underfunded relative to private transport). It is questionable whether the required rate of change can be achieved.

[1]  Jan R Ritsema van Eck,et al.  Evaluation of Accessibility Impacts of Land-Use Scenarios: The Implications of Job Competition, Land-Use, and Infrastructure Developments for the Netherlands , 2003 .

[2]  G. Vigar The Politics of Mobility: Transport, the Environment, and Public Policy , 2002 .

[3]  J. Scheurer Achieving Mode Share Targets in Australian Cities through Policy Integration: Are we on Track? , 2005 .

[4]  Helena Titheridge,et al.  ESTEEM: A GIS-based model for assessing the sustainability of urban development policies , 1999 .

[5]  P. Mees Transport for Suburbia: Beyond the Automobile Age , 2009 .

[6]  M. Burke,et al.  Getting to the game: travel to sports stadia in the era of transit-oriented development , 2009 .

[7]  Jian Lu,et al.  Use of Geographic Information System for Analysis of Transit Pedestrian Access , 1997 .

[8]  D. Halden Using accessibility measures to integrate land use and transport policy in Edinburgh and the Lothians , 2002 .

[9]  J. Sharkey Measuring potential access to food stores and food-service places in rural areas in the U.S. , 2009, American journal of preventive medicine.

[10]  B James,et al.  CHANGING TRAVEL BEHAVIOUR THROUGH INDIVIDUALISED MARKETING: APPLICATION AND LESSONS FROM SOUTH PERTH , 1998 .

[11]  J. Coveney,et al.  Effects of mobility and location on food access. , 2009, Health & place.

[12]  Emily Hatfield,et al.  A sporting chance: Accessibility of proposed AFL stadium locations on the Gold Coast , 2008 .

[13]  Alan T. Murray,et al.  Accessibility tradeoffs in public transit planning , 2003, J. Geogr. Syst..

[14]  Xuan Zhu,et al.  Accessibility Analyst: An Integrated GIS Tool for Accessibility Analysis in Urban Transportation Planning , 2004 .

[15]  Kypros Kypri,et al.  Neighbourhood deprivation and access to alcohol outlets: a national study. , 2009, Health & place.

[16]  Neil Sipe,et al.  Oil Vulnerability in the Australian City: Assessing Socioeconomic Risks from Higher Urban Fuel Prices , 2007 .

[17]  Carey Curtis,et al.  Planning for sustainable accessibility: Developing tools to aid discussion and decision-making , 2010 .

[18]  Paul Mees,et al.  Backtracking Auckland?: Technical and Communicative Reason in Metropolitan Transport Planning , 2007 .

[19]  R. Hickman,et al.  Transport and climate change: Simulating the options for carbon reduction in London , 2010 .

[20]  Calgary,et al.  Transit Capacity and Quality of Service Manual, 2nd Edition , 2003 .

[21]  Joe Weber,et al.  Individual accessibility and distance from major employment centers: An examination using space-time measures , 2003, J. Geogr. Syst..

[22]  J. Preston,et al.  Accessibility, mobility and transport-related social exclusion , 2007 .

[23]  Tan Yigitcanlar,et al.  A GIS‐based land use and public transport accessibility indexing model , 2007 .

[24]  Matthew Ian Burke,et al.  Public Transport Access to Proposed Stadium Sites , 2009 .

[25]  David Metz,et al.  The Limits to Travel : How Far Will You Go? , 2008 .

[26]  Bill Hillier,et al.  Space is the machine , 1996 .

[27]  R. Cervero,et al.  Sub-centring and Commuting: Evidence from the San Francisco Bay Area, 1980-90 , 1998 .