IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v206y2026ics0965856426000339.html

Dynamics of car consumption and attitudes towards car characteristics: Insights from a large-scale panel model in the United Kingdom

Author

Listed:
  • Mehdizadeh, Milad
  • Anable, Jillian

Abstract

The current study aims to understand the dynamics between the importance people place on different car characteristics when purchasing a car (labelled as car-related attitudes in this study) and their car consumption (car use and the number of cars owned) over time. Using data from the UK Household Longitudinal Study (UKHLS), we conceptualize bidirectional effects between car-related attitudes, the number of cars owned, and car use among those who access at least a car in their households and test how and which element comes first in impacting the other elements over time. Employing a two-wave cross-lagged panel model with a two-year lag on a large-scale sample (n = 17,198), and considering covariates, the results reveal existence of bidirectional but asymmetric effects between these three elements. Interestingly, the number of cars has the greatest effect on the two other elements. Car consumption influences car-related attitudes larger than the reverse effect. In particular, over time, a higher number of cars and higher levels of car use more strongly affect declines in the weight individuals place on environmental considerations when purchasing a car (e.g., engine size, CO2 emissions, or electric propulsion). This effect is larger than that of environmental considerations on shedding cars or reducing car use.

Suggested Citation

  • Mehdizadeh, Milad & Anable, Jillian, 2026. "Dynamics of car consumption and attitudes towards car characteristics: Insights from a large-scale panel model in the United Kingdom," Transportation Research Part A: Policy and Practice, Elsevier, vol. 206(C).
  • Handle: RePEc:eee:transa:v:206:y:2026:i:c:s0965856426000339
    DOI: 10.1016/j.tra.2026.104892
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856426000339
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2026.104892?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:transa:v:206:y:2026:i:c:s0965856426000339. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.