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

Author

Listed:
  • 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.

Suggested Citation

  • Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2005. "Latent Variables in a Travel Mode Choice Model: Attitudinal and Behavioural Indicator Variables," Working Paper Series 2005:5, Uppsala University, Department of Economics.
  • Handle: RePEc:hhs:uunewp:2005_005
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    References listed on IDEAS

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    1. 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.
    2. 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.
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    Cited by:

    1. Stephane Hess & Nesha Beharry-Borg, 2012. "Accounting for Latent Attitudes in Willingness-to-Pay Studies: The Case of Coastal Water Quality Improvements in Tobago," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(1), pages 109-131, May.
    2. Jie Chen, 2006. "The Dynamics of Housing Allowance Claims in Sweden: A Discrete Time-Hazard Analysis," European Journal of Housing Policy, Taylor and Francis Journals, vol. 6(1), pages 1-29, April.
    3. 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.
    4. 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.
    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.
    6. 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.
    7. Bühler, Georg & Hoffmann, Tim & Wölfing, Nikolas & Schmidt, Markus, 2009. "Wettbewerb und Umweltregulierung im Verkehr: Eine Analyse zur unterschiedlichen Einbindung der Verkehrsarten in den Emissionshandel," ZEW Expertises, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research, number 110505.

    More about this item

    Keywords

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

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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