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A conceptual analysis of the impact of travel demand management on private car use

Author

Listed:
  • Gärling, Tommy
  • Eek, Daniel
  • Loukopoulos, Peter
  • Fujii, Satoshi
  • Johansson-Stenman, Olof
  • Kitamura, Ryuichi
  • Pendyala, Ram
  • Vilhelmson, Bertil

Abstract

A conceptual framework is presented that may be utilized when analyzing changes in household travel arising from the range of potential measures available to policy makers. The proposed framework draws on goal setting theory in order to understand how travel is influenced by the impact various travel demand management (TDM) measures have on time, cost, and convenience of travel options. Travel is understood from a perspective assuming that it is controlled by negative feedback functioning to minimize deviations from goals nested at different levels. The conceptual framework, with its basis in goal setting and control theories, is then applied to understanding strategic and operational choice related to travel as well as habitual travel. Finally, the proposed conceptual framework is used to highlight and focus attention on key research issues that ought to be addressed if our understanding of the impact of TDM measures on household travel, and private car use in particular, is to improve.

Suggested Citation

  • Gärling, Tommy & Eek, Daniel & Loukopoulos, Peter & Fujii, Satoshi & Johansson-Stenman, Olof & Kitamura, Ryuichi & Pendyala, Ram & Vilhelmson, Bertil, 2002. "A conceptual analysis of the impact of travel demand management on private car use," Transport Policy, Elsevier, vol. 9(1), pages 59-70, January.
    • Handle: RePEc:eee:trapol:v:9:y:2002:i:1:p:59-70
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    References listed on IDEAS

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    1. Gärling, Tommy & Kwan, Mei-Po & Golledge, Reginald G., 1994. "Computational-process modelling of household activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 28(5), pages 355-364, October.
    2. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    3. Hogarth, Robin M. (ed.), 1990. "Insights in Decision Making," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226348551, October.
    4. Kitamura, R. & Nakayama, S. & Yamamoto, T., 1999. "Self-reinforcing motorization: can travel demand management take us out of the social trap?," Transport Policy, Elsevier, vol. 6(3), pages 135-145, July.
    5. Tommy Gärling & Robert Gillholm & William Montgomery, 1999. "The role of anticipated time pressure in activity scheduling," Transportation, Springer, vol. 26(2), pages 173-191, May.
    6. Mark Paich & John D. Sterman, 1993. "Boom, Bust, and Failures to Learn in Experimental Markets," Management Science, INFORMS, vol. 39(12), pages 1439-1458, December.
    7. Pendyala, Ram M. & Kitamura, Ryuichi & Chen, Cynthia & Pas, Eric I., 1997. "An activity-based microsimulation analysis of transportation control measures," Transport Policy, Elsevier, vol. 4(3), pages 183-192, July.
    8. Hensher, David A., 1998. "The imbalance between car and public transport use in urban Australia: why does it exist?," Transport Policy, Elsevier, vol. 5(4), pages 193-204, October.
    9. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    10. Gärling, Tommy & Gärling, Anita & Johansson, Anders, 2000. "Household choices of car-use reduction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 309-320, June.
    11. R H M Emmerink & P Nijkamp & P Rietveld, 1995. "Is Congestion Pricing a First-Best Strategy in Transport Policy? A Critical Review of Arguments," Environment and Planning B, , vol. 22(5), pages 581-602, October.
    12. Sharon M. Brucker & Steven E. Hastings & William R. Latham III, 1990. "The Variation of Estimated Impacts from Five Regional Input-Output Models," International Regional Science Review, , vol. 13(1-2), pages 119-139, April.
    13. Cecilia Jakobsson & Satoshi Fujii & Tommy Gärling, 2002. "Effects of economic disincentives on private car use," Transportation, Springer, vol. 29(4), pages 349-370, November.
    14. Goodwin, Phil, 1996. "Simple arithmetic," Transport Policy, Elsevier, vol. 3(3), pages 79-80, July.
    15. Nieboer, A. P. & Schulz, R. & Matthews, K. A. & Scheier, M. F. & Ormel, J. & Lindenberg, S. M., 1998. "Spousal caregivers' activity restriction and depression: A model for changes over time," Social Science & Medicine, Elsevier, vol. 47(9), pages 1361-1371, November.
    16. Wright, C. & Egan, J., 2000. "De-marketing the car," Transport Policy, Elsevier, vol. 7(4), pages 287-294, October.
    17. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    18. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    19. Stradling, S. G. & Meadows, M. L. & Beatty, S., 2000. "Helping drivers out of their cars Integrating transport policy and social psychology for sustainable change," Transport Policy, Elsevier, vol. 7(3), pages 207-215, July.
    20. Joyce, William F. & Slocum, John Jr. & Abelson, Michael, 1977. "A causal analysis of psychological climate and leader behavior relationships," Journal of Business Research, Elsevier, vol. 5(3), pages 261-273, September.
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