IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/58113.html
   My bibliography  Save this paper

A discrete continuous model of vehicle ownership and use in Flanders

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/58113/1/MPRA_paper_58113.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    2. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    3. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    4. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, December.
    5. Fang, Hao Audrey, 2008. "A discrete-continuous model of households' vehicle choice and usage, with an application to the effects of residential density," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 736-758, November.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, December.
    7. Berkovec, James & Rust, John, 1985. "A nested logit model of automobile holdings for one vehicle households," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 275-285, August.
    8. Gerard de Jong & Hugh Gunn, 2001. "Recent Evidence on Car Cost and Time Elasticities of Travel Demand in Europe," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 137-160, May.
    Full references (including those not matched with items on IDEAS)

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:58113. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.