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How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model

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  • Golob, Thomas F.
  • Kim, Seyoung
  • Ren, Weiping

Abstract

The vehicle miles of travel for each vehicle in multi-vehicle households is modeled as a function of household characteristics, vehicle characteristics, and the matches of vehicle to driver in the satisfaction of travel desires. A structural equations model is developed in which principal driver characteristics, as well as vehicle miles of travel, are endogenous. There are links between how each vehicle is used and who in the household is each vehicle’s principal driver. Each vehicle’s usage can then be expressed in reduced-form equations as a function of exogenous household and vehicle type variables for forecasting purposes. The model is estimated on a 1993 sample of approximately 2000 multi-vehicle households in California.

Suggested Citation

  • Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model," University of California Transportation Center, Working Papers qt6xx6j51x, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt6xx6j51x
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    References listed on IDEAS

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    1. Brownstone, David & Bunch, David S. & Golob, Thomas F., 1994. "A Demand Forecasting System for Clean-Fuel Vehicles," University of California Transportation Center, Working Papers qt79c3g7xv, University of California Transportation Center.
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    Cited by:

    1. Simma, A. & Axhausen, K. W., 2001. "Structures of commitment in mode use: a comparison of Switzerland, Germany and Great Britain," Transport Policy, Elsevier, vol. 8(4), pages 279-288, October.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Yamamoto, Toshiyuki & Kitamura, Ryuichi, 2000. "An analysis of household vehicle holding durations considering intended holding durations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 339-351, June.
    4. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Substitution between cars within the household," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 135-156.
    5. Piet Rietveld, 2001. "Biking and Walking: The Position of Non-Motorised Transport Modes in Transport Systems," Tinbergen Institute Discussion Papers 01-111/3, Tinbergen Institute.
    6. Roorda, Matthew J. & Ruiz, Tomás, 2008. "Long- and short-term dynamics in activity scheduling: A structural equations approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 545-562, March.
    7. Kazimi, Camilla, 1997. "Evaluating the Environmental Impact of Alternative-Fuel Vehicles," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 163-185, June.
    8. Whitehead, Jake & Franklin, Joel P. & Washington, Simon, 2015. "Transitioning to energy efficient vehicles: An analysis of the potential rebound effects and subsequent impact upon emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 250-267.
    9. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    10. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    11. Alva González, Miguel Ángel, 2008. "Environmentally Unfriendly Consumption Behaviour: Theoretical and Empirical Evidence from Private Motorists in Mexico City," MPRA Paper 18019, University Library of Munich, Germany.

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    Social and Behavioral Sciences;

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