这是indexloc提供的服务，不要输入任何密码
IDEAS home Printed from https://ideas.repec.org/a/ris/jtralu/0133.html
   My bibliography  Save this article

A vehicle ownership and utilization choice model with endogenous residential density

Author

Listed:
  • David Brownstone

    (University of Califronia, Irvine)

  • Hao (Audrey) Fang

    (eBay Inc.)

Abstract

This paper explores the impact of residential density on households’ vehicle type and usage choices using the 2001 National Household Travel Survey (NHTS). Attempts to quantify the effect of urban form on households’ vehicle choice and utilization often encounter the problem of sample selectivity. Household characteristics that are unobservable to the researchers might determine simultaneously where to live, what vehicles to choose, and how much to drive them. Unless this simultaneity is modeled, any relationship between residential density and vehicle choice may be biased. This paper extends the Bayesian multivariate ordered probit and tobit model developed in Fang (2008) to treat local residential density as endogenous. The model includes equations for vehicle ownership and usage in terms of number of cars, number of trucks (vans, sports utility vehicles, and pickup trucks), miles traveled by cars, and miles traveled by trucks. We carry out policy simulations that show that an increase in residential density has a negligible effect on car choice and utilization, but slightly reduces truck choice and utilization. The largest impact we find is a -.4 arc elasticity of truck fuel use with respect to density. We also perform an out-of-sample forecast using a holdout sample to test the robustness of the model.

Suggested Citation

  • David Brownstone & Hao (Audrey) Fang, 2014. "A vehicle ownership and utilization choice model with endogenous residential density," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 135-151.
    • Handle: RePEc:ris:jtralu:0133
    as

    Download full text from publisher

    File URL: https://www.jtlu.org/index.php/jtlu/article/download/468/437
    File Function: A vehicle ownership and utilization choice model with endogenous residential density
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lave, Charles, 1994. "State and National VMT Estimates: It Ain't Necessarily So," University of California Transportation Center, Working Papers qt5527j8dj, University of California Transportation Center.
    2. Brueckner, Jan K. & Largey, Ann G., 2008. "Social interaction and urban sprawl," Journal of Urban Economics, Elsevier, vol. 64(1), pages 18-34, July.
    3. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.
    4. 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.
    5. Kim, Jinwon & Brownstone, David, 2013. "The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples," Energy Economics, Elsevier, vol. 40(C), pages 196-206.
    6. Daly, Andrew & Hess, Stephane & de Jong, Gerard, 2012. "Calculating errors for measures derived from choice modelling estimates," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 333-341.
    7. Kai, Li, 1998. "Bayesian inference in a simultaneous equation model with limited dependent variables," Journal of Econometrics, Elsevier, vol. 85(2), pages 387-400, August.
    8. Webb, Emily L. & Forster, Jonathan J., 2008. "Bayesian model determination for multivariate ordinal and binary data," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2632-2649, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
    2. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    3. Winston, Clifford & Yan, Jia, 2021. "Vehicle size choice and automobile externalities: A dynamic analysis," Journal of Econometrics, Elsevier, vol. 222(1), pages 196-218.
    4. Schmidt, Peter, 2020. "The effect of car sharing on car sales," International Journal of Industrial Organization, Elsevier, vol. 71(C).
    5. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    6. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    7. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    8. Manish Shirgaokar, 2016. "Expanding cities and vehicle use in India: Differing impacts of built environment factors on scooter and car use in Mumbai," Urban Studies, Urban Studies Journal Limited, vol. 53(15), pages 3296-3316, November.
    9. Rith, Monorom & Fillone, Alexis & Biona, Jose Bienvenido M., 2019. "The impact of socioeconomic characteristics and land use patterns on household vehicle ownership and energy consumption in an urban area with insufficient public transport service – A case study of me," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    10. 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.
    11. Toshiyuki Yamamoto & Jean-Loup Madre & Matthieu Lapparent & Roger Collet, 2020. "A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting," Transportation, Springer, vol. 47(3), pages 1027-1045, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Jinwon, 2016. "Vehicle fuel-efficiency choices, emission externalities, and urban sprawl," Economics of Transportation, Elsevier, vol. 5(C), pages 24-36.
    2. 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.
    3. Achim Ahrens & Seán Lyons, 2019. "Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012," Land, MDPI, vol. 8(1), pages 1-14, January.
    4. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    5. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    6. Kim, Jinwon, 2012. "Endogenous vehicle-type choices in a monocentric city," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 749-760.
    7. Dillon, Harya S. & Saphores, Jean-Daniel & Boarnet, Marlon G., 2015. "The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey," Research in Transportation Economics, Elsevier, vol. 52(C), pages 23-33.
    8. Song, Siqi & Diao, Mi & Feng, Chen-Chieh, 2016. "Individual transport emissions and the built environment: A structural equation modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 206-219.
    9. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    10. Eric Fesselmeyer & Kiat Ying Seah, 2018. "Individual Payoffs and the Effect of Homeownership on Social Capital Investment," Journal of Housing Research, Taylor & Francis Journals, vol. 27(1), pages 59-78, January.
    11. Hilber, Christian A.L., 2010. "New housing supply and the dilution of social capital," Journal of Urban Economics, Elsevier, vol. 67(3), pages 419-437, May.
    12. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    13. Bergeaud, Antonin & Raimbault, Juste, 2020. "An empirical analysis of the spatial variability of fuel prices in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 131-143.
    14. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    15. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    16. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    17. Zackary B. Hawley & Geoffrey K. Turnbull, 2019. "Social Interaction and Urban Location Decisions," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 1-26, July.
    18. Lucas W. Davis & Christopher R. Knittel, 2019. "Are Fuel Economy Standards Regressive?," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(S1), pages 37-63.
    19. Dissou, Yazid & Siddiqui, Muhammad Shahid, 2014. "Can carbon taxes be progressive?," Energy Economics, Elsevier, vol. 42(C), pages 88-100.
    20. Zenou, Yves, 2007. "Social Interactions and Labour Market Outcomes in Cities," CEPR Discussion Papers 6129, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    vehicle type choice and utilization; endogenous density; ordered probit and tobit models.;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

    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:ris:jtralu:0133. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Arlene Mathison (email available below). General contact details of provider: https://edirc.repec.org/data/ctumnus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.