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Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model

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  • Bhat, Chandra R.
  • Sen, Sudeshna
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    Abstract

    The increasing diversity of vehicle type holdings and the growing usage of vehicles by households have serious policy implications for traffic congestion and air pollution. Consequently, it is important to accurately predict the vehicle holdings of households as well as the vehicle miles of travel by vehicle type to project future traffic congestion and mobile source emission levels. In this paper, we apply a multiple discrete-continuous extreme value model to analyze the holdings and use of multiple vehicle types by households. Data for the analysis is drawn from a 2000 San Francisco Bay Area survey. The model results indicate the important effects of household demographics, residence location variables and vehicle attributes on vehicle type holdings and use. The model developed in the paper can be applied to predict the impact of demographic, land use, and operating cost changes on vehicle type holdings and usage. Such predictions are important at a time when the household demographic characteristics are changing rapidly in the United States. The predictions can also inform the design of proactive land-use, economic, and transportation policies to influence household vehicle holdings and usage in a way that reduces traffic congestion and air quality problems.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part B: Methodological.

    Volume (Year): 40 (2006)
    Issue (Month): 1 (January)
    Pages: 35-53

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    Handle: RePEc:eee:transb:v:40:y:2006:i:1:p:35-53

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    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Citations

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    Cited by:
    1. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
    2. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    3. 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.
    4. Adjemian, Michael K. & Cynthia Lin, C.-Y. & Williams, Jeffrey, 2010. "Estimating spatial interdependence in automobile type choice with survey data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 661-675, November.
    5. 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.
    6. Bruno de Borger & Jan Rouwendal, 2012. "Car User Taxes, Quality Characteristics and Fuel Efficiency: Household Behavior and Market Adjustment," Tinbergen Institute Discussion Papers 12-122/VIII, Tinbergen Institute, revised 17 Jun 2013.
    7. Xavier Labandeira & José M. Labeaga & Xiral López-Otero, 2011. "Energy Demand for Heating in Spain: An Empirical Analysis with Policy Purposes," Working Papers 06-2011, Economics for Energy.
    8. Chen, Anning, 2011. "Reliable GPS Integer Ambiguity Resolution," University of California Transportation Center, Working Papers qt9gs0t2f9, University of California Transportation Center.
    9. Jeong, Jaehoon & Seob Kim, Chang & Lee, Jongsu, 2011. "Household electricity and gas consumption for heating homes," Energy Policy, Elsevier, vol. 39(5), pages 2679-2687, May.
    10. Bruno De Borger & Ismir Mulalic & Jan Rouwendal, 2013. "Substitution between Cars within the Household," Tinbergen Institute Discussion Papers 13-158/VIII, Tinbergen Institute.
    11. Jäggi, Boris & Weis, Claude & Axhausen, Kay W., 2013. "Stated response and multiple discrete-continuous choice models: Analyses of residuals," Journal of choice modelling, Elsevier, vol. 6(C), pages 44-59.
    12. Bruno de Borger & Jan Rouwendal, 2012. "Car User Taxes, Quality Characteristics and Fuel Efficiency: Household Behavior and Market Adjustment," Tinbergen Institute Discussion Papers 12-122/VIII, Tinbergen Institute, revised 17 Jun 2013.
    13. Baltas, George & Saridakis, Charalampos, 2013. "An empirical investigation of the impact of behavioural and psychographic consumer characteristics on car preferences: An integrated model of car type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 54(C), pages 92-110.
    14. Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
    15. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    16. Martin, Elliot William, 2009. "New Vehicle Choices, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and Gasoline Tax," University of California Transportation Center, Working Papers qt6sz198c2, University of California Transportation Center.
    17. Cao, XinYu, 2007. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt1n90z8h8, Institute of Transportation Studies, UC Davis.
    18. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.
    19. Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
    20. Jungwoo Shin & Chang Seob Kimi & Jongsu Lee, 2009. "Model for Studying Commodity Bundling with a Focus on Consumer Preference," TEMEP Discussion Papers 200934, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    21. Martin, Elliott William, 2009. "New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax," University of California Transportation Center, Working Papers qt5gd206wv, University of California Transportation Center.

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