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Latent Variables in a Travel Mode Choice Model: Attitudinal and Behavioural Indicator Variables

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Author Info

  • Vredin Johansson, Maria

    ()
    (Department of Economics)

  • Heldt, Tobias

    ()
    (Department of Economics)

  • Johansson, Per

    ()
    (Department of Economics)

Abstract

In a travel mode choice context, we use survey data to construct and test the significance of five individual specific latent variables – environmental preferences, safety, comfort, convenience and flexibility - postulated to be important for modal choice. Whereas the construction of the safety and environmental preference variables is based on behavioural indicator variables, the construction of the comfort, convenience and flexibility variables is based on attitudinal indicator variables. Our main findings are that the latent variables enriched discrete choice model outperforms the traditional discrete choice model and that the construct reliability of the “attitudinal” latent variables is higher than that of the “behavioural” latent variables. Important for the choice of travel mode are modal travel time and cost and the individual’s preferences for flexibility and comfort as well as her environmental preferences.

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Bibliographic Info

Paper provided by Uppsala University, Department of Economics in its series Working Paper Series with number 2005:5.

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Length: 31 pages
Date of creation: 07 Feb 2005
Date of revision:
Handle: RePEc:hhs:uunewp:2005_005

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Postal: Department of Economics, Uppsala University, P. O. Box 513, SE-751 20 Uppsala, Sweden
Phone: + 46 18 471 25 00
Fax: + 46 18 471 14 78
Email:
Web page: http://www.nek.uu.se/
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Related research

Keywords: Modal choice; latent variable; discrete choice model; modal safety;

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References

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  1. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
  2. Smith, V Kerry & Desvousges, William H, 1987. "An Empirical Analysis of the Economic Value of Risk Changes," Journal of Political Economy, University of Chicago Press, vol. 95(1), pages 89-114, February.
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Citations

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Cited by:
  1. Yáñez, M.F. & Raveau, S. & Ortúzar, J. de D., 2010. "Inclusion of latent variables in Mixed Logit models: Modelling and forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 744-753, November.
  2. Johansson, Fredrik & Klevmarken, Anders, 2006. "Explaining the size and nature of response in a survey on health status and economic standard," Working Paper Series 2006:2, Uppsala University, Department of Economics.
  3. Chen, Jie, 2006. "The Dynamics of Housing Allowance Claims in Sweden: A discrete-time hazard analysis," Working Paper Series 2006:1, Uppsala University, Department of Economics.
  4. Berg, Lennart & Berger, Tommy, 2005. "The Q theory and the Swedish housing market –an empirical test," Working Paper Series 2005:19, Uppsala University, Department of Economics.
  5. Dirk Temme & Marcel Paulssen & Till Dannewald, 2007. "Integrating latent variables in discrete choice models – How higher-order values and attitudes determine consumer choice," SFB 649 Discussion Papers SFB649DP2007-065, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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