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A Vehicle Use Forecasting Model Based on Revealed and Stated Vehicle Type Choice and Utilisation Data

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  • Golob, Thomas F
  • Bunch, David S
  • Brownstone, David

Abstract

This research describes a new model of household vehicle use behavior by type of vehicle. Forecasts of future vehicle emissions, including potential gains that might be attributed to introductions of alternative-fuel (clean-fuel) vehicles, critically depend upon the ability to forecast vehicle-miles traveled by the fuel type, body style and size, and vintage of vehicle.

Suggested Citation

  • Golob, Thomas F & Bunch, David S & Brownstone, David, 1997. "A Vehicle Use Forecasting Model Based on Revealed and Stated Vehicle Type Choice and Utilisation Data," University of California Transportation Center, Working Papers qt2bz335vw, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt2bz335vw
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    Cited by:

    1. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    2. Chris Kavalec, 1999. "Vehicle Choice in an Aging Population: Some Insights from a Stated Preference Survey for California," The Energy Journal, , vol. 20(3), pages 123-138, July.
    3. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
    4. Yoo, Sunbin & Yoshida, Yoshikuni, 2019. "Consumer preferences and financial incentives in the Japanese automobile industry," Transport Policy, Elsevier, vol. 81(C), pages 220-229.
    5. Wiedmann, Klaus-Peter & Hennigs, Nadine & Pankalla, Lars & Kassubek, Martin & Seegebarth, Barbara, 2011. "Adoption barriers and resistance to sustainable solutions in the automotive sector," Journal of Business Research, Elsevier, vol. 64(11), pages 1201-1206.
    6. de Haan, Peter & Mueller, Michel G. & Scholz, Roland W., 2009. "How much do incentives affect car purchase? Agent-based microsimulation of consumer choice of new cars--Part II: Forecasting effects of feebates based on energy-efficiency," Energy Policy, Elsevier, vol. 37(3), pages 1083-1094, March.
    7. Wang, Shenhao & Wang, Qingyi & Zhao, Jinhua, 2020. "Multitask learning deep neural networks to combine revealed and stated preference data," Journal of choice modelling, Elsevier, vol. 37(C).
    8. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    9. Sheng, Hongyan, 1999. "A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information," University of California Transportation Center, Working Papers qt0zp4g99j, University of California Transportation Center.
    10. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    11. Tamara L. Sheldon & J. R. DeShazo & Richard T. Carson, 2019. "Demand for Green Refueling Infrastructure," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 131-157, September.
    12. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    13. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    14. Loría, Luis Enrique & Watson, Verity & Kiso, Takahiko & Phimister, Euan, 2019. "Investigating users' preferences for Low Emission Buses: Experiences from Europe's largest hydrogen bus fleet," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    15. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    16. Cirillo, Cinzia & Liu, Yan & Maness, Michael, 2017. "A time-dependent stated preference approach to measuring vehicle type preferences and market elasticity of conventional and green vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 294-310.
    17. Khoeini, Sara & Guensler, Randall, 2014. "Using vehicle value as a proxy for income: A case study on Atlanta's I-85 HOT lane," Research in Transportation Economics, Elsevier, vol. 44(C), pages 33-42.
    18. John C. Whitehead & Subhrendu K. Pattanayak & George L. Van Houtven & Brett R. Gelso, 2008. "Combining Revealed And Stated Preference Data To Estimate The Nonmarket Value Of Ecological Services: An Assessment Of The State Of The Science," Journal of Economic Surveys, Wiley Blackwell, vol. 22(5), pages 872-908, December.
    19. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    20. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    21. Chen, Cynthia & Niemeier, Debbie, 2005. "A mass point vehicle scrappage model," Transportation Research Part B: Methodological, Elsevier, vol. 39(5), pages 401-415, June.

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