IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v21y2014i18p1273-1276.html
   My bibliography  Save this article

The relationship between commuting time and workers' utility

Author

Listed:
  • Andrew Crawley

Abstract

Numerous studies have looked at the multitude of aspects affecting the utility workers gain from their job. Within these studies, a common proxy for utility is job satisfaction, measured as a self-reported score. A variable often neglected within this research has been commuting time and modes of transport. This article utilizes a unique survey conducted in a UK city region and analyses the effect of commuting time and mode of transport on self-reported job satisfaction. Two cohorts of respondents are constructed based upon income levels, thus establishing the offsetting effect of income on commute. The study finds that commuting time has a negative effect on the utility of workers. However, the effect is found to be income dependent, with those earning the most having no negative effect from commuting time. Using a number of modes of transport is found to not have an effect on the utility of workers.

Suggested Citation

  • Andrew Crawley, 2014. "The relationship between commuting time and workers' utility," Applied Economics Letters, Taylor & Francis Journals, vol. 21(18), pages 1273-1276, December.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:18:p:1273-1276
    DOI: 10.1080/13504851.2014.922663
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2014.922663
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13504851.2014.922663?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 search for a different version of it.

    Citations

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


    Cited by:

    1. Akiko Sakanishi, 2020. "Urban commuting behavior and time allocation among women: Evidence from US metropolitan areas," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(2), pages 349-363, April.
    2. Rajesh Gupta & Vaibhav Bhamoriya, 2021. "‘Give Me Some Rail’: An Enquiry into Puzzle of Declining Female Labour Force Participation Rate," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 46(1), pages 7-23, February.

    More about this item

    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:taf:apeclt:v:21:y:2014:i:18:p:1273-1276. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.