IDEAS home Printed from https://ideas.repec.org/a/ags/ndjtrf/207442.html
   My bibliography  Save this article

Determinants of Per Capita Vehicle Miles Traveled (VMT): The Case of California

Author

Listed:
  • Woldeamanuel, Mintesnot
  • Kent, Andrew

Abstract

This study uses multivariate regression to isolate determinants of per capita VMT in California from the National Household Travel Survey (NHTS), as well as a Chow Test to identify structural change between the 2001 and 2009 NHTS. Results across the 2001 and 2009 NHTS data sets indicate certain determinant variables have emerged over time and others have changed in strength of impact. Our findings support mixed methods VMT reduction strategies to achieve near- and longterm GHG targets.

Suggested Citation

  • Woldeamanuel, Mintesnot & Kent, Andrew, 2014. "Determinants of Per Capita Vehicle Miles Traveled (VMT): The Case of California," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(3).
    • Handle: RePEc:ags:ndjtrf:207442
    DOI: 10.22004/ag.econ.207442
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/207442/files/2014v53n3_03_VehicleMiles.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.207442?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rodier, Caroline J., 2009. "A Review of the International Modeling Literature: Transit, Land Use, and Auto Pricing Strategies to Reduce Vehicle Miles Traveled and Greenhouse Gas Emissions," Institute of Transportation Studies, Working Paper Series qt2jh2m3ps, Institute of Transportation Studies, UC Davis.
    2. Robert Noland & William Cowart, 2000. "Analysis of Metropolitan Highway Capacity and the growth in vehicle miles of travel," Transportation, Springer, vol. 27(4), pages 363-390, December.
    3. Heres-Del-Valle, David & Niemeier, Deb, 2011. "CO2 emissions: Are land-use changes enough for California to reduce VMT? Specification of a two-part model with instrumental variables," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 150-161, 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. Ender Demir & Giray Gozgor, 2016. "The Impact Of Economic Policy Uncertainty On The Vehicle Miles Traveled (Vmt) In The U.S," Eurasian Journal of Business and Management, Eurasian Publications, vol. 4(3), pages 39-48.
    2. Fu, Tat & Mundorf, Norbert & Redding, Colleen A. & Brick, Leslie & Paiva, Andrea & Prochaska, James, 2016. "Exploring Sustainable Transportation Attitudes and Stages of Change Using Survey and Geospatial Data in New England Campus Commuters," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 55(2), August.

    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. Dale Ellen Azaria & Austin Troy & Brian H Y Lee & Curtis Ventriss & Brian Voigt, 2013. "Modeling the Effects of an Urban Growth Boundary on Vehicle Travel in a Small Metropolitan Area," Environment and Planning B, , vol. 40(5), pages 846-864, October.
    2. Jean-Paul Rodrigue, 2006. "Challenging the Derived Transport-Demand Thesis: Geographical Issues in Freight Distribution," Environment and Planning A, , vol. 38(8), pages 1449-1462, August.
    3. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    4. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
    5. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chengxiang Zhuge & Wenjun Li, 2018. "Application of Bayesian Multilevel Models Using Small and Medium Size City in China: The Case of Changchun," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    6. Morikawa, Masayuki, 2012. "Population density and efficiency in energy consumption: An empirical analysis of service establishments," Energy Economics, Elsevier, vol. 34(5), pages 1617-1622.
    7. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    8. Rahman, Mohammad Lutfur & Baker, Douglas, 2018. "Modelling induced mode switch behaviour in Bangladesh: A multinomial logistic regression approach," Transport Policy, Elsevier, vol. 71(C), pages 81-91.
    9. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    10. Ransford A. Acheampong & Alhassan Siiba, 2020. "Modelling the determinants of car-sharing adoption intentions among young adults: the role of attitude, perceived benefits, travel expectations and socio-demographic factors," Transportation, Springer, vol. 47(5), pages 2557-2580, October.
    11. Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
    12. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Determining the role of bicycle sharing system infrastructure installation decision on usage: Case study of montreal BIXI system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 685-698.
    13. Axsen, Jonn & Wolinetz, Michael, 2021. "Taxes, tolls and ZEV zones for climate: Synthesizing insights on effectiveness, efficiency, equity, acceptability and implementation," Energy Policy, Elsevier, vol. 156(C).
    14. Volker, Jamey M. B. & Handy, Susan L., 2022. "Updating the Induced Travel Calculator," Institute of Transportation Studies, Working Paper Series qt1hh9b9mf, Institute of Transportation Studies, UC Davis.
    15. Tikoudis, Ioannis & Verhoef, Erik T. & van Ommeren, Jos N., 2018. "Second-best urban tolls in a monocentric city with housing market regulations," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 342-359.
    16. Schwanen, Tim & Banister, David & Anable, Jillian, 2011. "Scientific research about climate change mitigation in transport: A critical review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 993-1006.
    17. Yang, Christopher, 2011. "California’s Energy Future: Transportation Energy Use in California," Institute of Transportation Studies, Working Paper Series qt8j69x46d, Institute of Transportation Studies, UC Davis.
    18. Yao Wu & David Levinson, 2005. "The Rational Locator Reexamined," Working Papers 200503, University of Minnesota: Nexus Research Group.
    19. David Levinson & Seshasai Kanchi, 2002. "Road Capacity and the Allocation of Time," Working Papers 200203, University of Minnesota: Nexus Research Group.
    20. Marshall, Wesley & Garrick, Norman, 2012. "Community design and how much we drive," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(2), pages 5-21.

    More about this item

    Keywords

    Public Economics;

    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:ags:ndjtrf:207442. 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: AgEcon Search (email available below). General contact details of provider: http://www.trforum.org/journal/ .

    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.