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A discrete continuous model of vehicle ownership and use in Flanders

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  • Franckx, Laurent
  • Michiels, Hans
  • Mayeres, Inge

Abstract

We estimate a discrete-continuous model of vehicle demand and use for the Belgian region of Flanders, combining the results of the official regional travel survey with a detailed database of vehicle characteristics. The overall predictive value of the submodel predicting the number of vehicles owned by each household is satisfying, and in line with expectations. However, existing data turn out to be relatively poor predictors of the vehicle class owned by households and of the annual mileage per vehicle. We argue that the current travel survey focuses on determinants of travel in the peak periods. In order to predict overall travel demand, future versions of the travel survey should identify indicators with a higher predictive value for travel behavior for other than commuting purposes.

Suggested Citation

  • Franckx, Laurent & Michiels, Hans & Mayeres, Inge, 2014. "A discrete continuous model of vehicle ownership and use in Flanders," MPRA Paper 58113, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:58113
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    vehicle choice; discrete-continuous choice modelling;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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