Advertisement

Environmental and Resource Economics

, Volume 22, Issue 1–2, pp 185–217 | Cite as

A Systematic Assessment of the Environmental Impacts of Transport Policy

  • David A. Hensher
Article

Abstract

This paper presents an integrated urbanpassenger transport model system for evaluatingthe impact of a large number of interrelatedpolicy instruments on urban travel behaviourand the environment. The model system has fourintegrated modules defining household locationand automobile choices, commuter workplace andcommuting travel choices, non-commuting travelactivity, and worker distributed workpractices. The demand model system, estimatedas a set of discrete and continuous choicemodels, is combined with a set of equilibratingcriteria in each of the location, automobileand commuting markets to predict overall demandfor passenger travel in various socio-economicsegments, automobile classes and geographiclocations. We illustrate the diversity of thesystem by applying the integrated system toPerth (Western Australia), in the context ofassessing their impacts on greenhouse gasemissions. The model system is embedded withina decision support system to make it anattractive suite of tools for practitioners.

global warming scenarios systems planning transport models 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bradley, M. A. and A. J. Daly (1991), Estimation of logit choice models using mixed stated preference and revealed preference information, paper presented to the 6th International Conference on Travel Behavior, lQuebec, May 22–24, 1991.Google Scholar
  2. Bradley, M. A. and A. J. Daly (1992), Uses of the logit scaling approach in stated preference analysis, paper presented at the 7th World Conference on Transport Research, Lyon, July.Google Scholar
  3. Hensher, D. A. (1993), ‘Socially and Environmentally Appropriate Urban Futures for the Motor Car’, Transportation 20(1), 1–20.CrossRefGoogle Scholar
  4. Hensher, D. A. (1998), ‘The Balance between Car and Public Transport Use in Urban Areas: What Can We do About it?’, Transport Policy 5(4), 193–204.CrossRefGoogle Scholar
  5. Hensher, D. A. (1999), ‘A Bus-based Transitway or Light Rail? Continuing the Saga on Choice versus Blind Commitment’, Roads and Transport Research 8(3), 3–21.Google Scholar
  6. Hensher, D. A. and M. Bradley (1993), ‘Using Stated Response Data to Enrich Revealed Preference Discrete Choice Models’, Marketing Letters 4(2), 139–152.CrossRefGoogle Scholar
  7. Hensher, D. A. and W. G. Greene (2001), ‘Choosing between Conventional, Electric and LPG/CNG Vehicles in Single-vehicle Households’, in D. A. Hensher, ed., The Leading Edge of Travel Behaviour Research. Oxford: Pergamon Press, pp. 725–750.Google Scholar
  8. Hensher, D. A., F. W. Milthorpe and M. Lowe (1995), ‘Greenhouse Gas Emissions and the Demand for Urban Passenger Transport: Final Report: Summary of Approach and Selective Results from Application of the ITS/BTCE Simulator’, Report 8, Institute of Transport Studies. The University of Sydney, November.Google Scholar
  9. Louviere, J. J., D. A. Hensher and J. Swait (2000), Stated Choice Methods: Analysis and Applications in Marketing, Transportation and Environmental Valuation. Cambridge: Cambridge University Press.Google Scholar
  10. Morikawa, T. (1989), Incorporating Stated Preference Data in Travel Demand Analysis, PhD Dissertation, Department of Civil Engineering, M.I.T.Google Scholar
  11. Newman, P. and J. Kenworthy (1999), Sustainability and Cities — Overcoming Automobile Dependence. Washington D.C.: Island Press.Google Scholar
  12. Ngo, C. and T. Ton (2002), Analysing Network Capacity — Through Capacity, Passing Capacity and Holding Capacity, Institute of Transport Studies, The University of Sydney, March.Google Scholar
  13. Small, K. A. (1991), Transportation and the Environment, in R. Thord, ed., The Future of Transportation and Communication. Borlange: Swedish National Road Administration, pp. 217–230.Google Scholar
  14. Ton, T. and D. A. Hensher (2001), Synthesising population data: The Specification and Generation of Synthetic Households in TRESIS, paper presented at the 9th World Conference on Transport Research, Seoul, July.Google Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • David A. Hensher
    • 1
  1. 1.Institute of Transport Studies, Faculty of Economics and BusinessThe University of SydneyAustralia

Personalised recommendations