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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
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    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.

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    File URL: http://www.escholarship.org/uc/item/6xx6j51x.pdf;origin=repeccitec
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    Bibliographic Info

    Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt6xx6j51x.

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    Date of creation: 01 Jan 1996
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    Handle: RePEc:cdl:uctcwp:qt6xx6j51x

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    Keywords: Social and Behavioral Sciences;

    References

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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., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    3. 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.
    4. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    5. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    6. 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.
    7. 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.
    8. 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.
    9. Bruno De Borger & Ismir Mulalic & Jan Rouwendal, 2013. "Substitution between Cars within the Household," Tinbergen Institute Discussion Papers 13-158/VIII, Tinbergen Institute.
    10. 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.

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