IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

The impact of telecommuting on residential relocation and residential preferences: A latent class modelling approach

Listed author(s):
  • Ettema, Dick


    (Utrecht University; Netherlands)

Registered author(s):

    The advance of information and communication technologies (ICTs) has changed travellers’ appreciation of travel distance in various ways. In the context of telecommuting, ICT increasingly allows us to work from home one or more days per week. One hypothesis that has been put forward is that because ICTs reduce the frequency of commuting, it allows workers to accept longer commute distances, implying that telecommuters have a different valuation of travel distance than regular commuters and would also favour more peripheral residential locations. The question can be raised, however, whether telecommuters can be regarded as a homogeneous group with respect to their valuation of commute distance and residential preferences. To investigate the heterogeneity of commuters’ and telecommuters’ preferences, latent class discrete choice models of workers’ intended relocation probability and preferred residential environment were estimated. The results suggest that telecommuting is not a factor that can be used to identify segments with different residential preferences. However, within the group of telecommuters, two different classes can be identified, which can be characterised as being sensitive and insensitive to commute distance.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    File Function: Full text
    Download Restriction: no

    Article provided by Center for Transportation Studies, University of Minnesota in its journal The Journal of Tranport and Land Use.

    Volume (Year): 3 (2010)
    Issue (Month): 1 ()
    Pages: 7-24

    in new window

    Handle: RePEc:ris:jtralu:0034
    Contact details of provider: Web page:

    More information through EDIRC

    References listed on IDEAS
    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.:

    in new window

    1. Taede Tillema & Bert van Wee & Dick Ettema, 2010. "Road Pricing and Relocation Decisions of Dutch Households," Urban Studies, Urban Studies Journal Limited, vol. 47(14), pages 3013-3033, December.
    2. Patricia L Mokhtarian & Gustavo O Collantes & Carsten Gertz, 2004. "Telecommuting, residential location, and commute-distance traveled: evidence from State of California employees," Environment and Planning A, Pion Ltd, London, vol. 36(10), pages 1877-1897, October.
    3. Diana Mok, 2007. "Do Two-earner Households Base Their Choice of Residential Location on Both Incomes?," Urban Studies, Urban Studies Journal Limited, vol. 44(4), pages 723-750, April.
    4. Michael N. Bagley & Patricia L. Mokhtarian & Ryuichi Kitamura, 2002. "A Methodology for the Disaggregate, Multidimensional Measurement of Residential Neighbourhood Type," Urban Studies, Urban Studies Journal Limited, vol. 39(4), pages 689-704, April.
    5. Tillema, Taede & van Wee, Bert & Ettema, Dick, 2010. "The influence of (toll-related) travel costs in residential location decisions of households: A stated choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 785-796, December.
    6. Joan Walker & Jieping Li, 2007. "Latent lifestyle preferences and household location decisions," Journal of Geographical Systems, Springer, vol. 9(1), pages 77-101, April.
    7. W.A.V. Clark & Jun L. Onaka, 1983. "Life Cycle and Housing Adjustment as Explanations of Residential Mobility," Urban Studies, Urban Studies Journal Limited, vol. 20(1), pages 47-57, February.
    8. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ris:jtralu:0034. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Arlene Mathison)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.