IDEAS home Printed from https://ideas.repec.org/a/spr/presci/v82y2003i4p451-473.html
   My bibliography  Save this article

A space-time network for telecommuting versus commuting decision-making

Author

Listed:
  • Anna Nagurney
  • June Dong
  • Patricia Mokhtarian

Abstract

In this article, we develop a theoretical framework for the study of telecommuting versus commuting decision-making over a fixed time horizon, such as a work week through the use of a space-time network to conceptualize the decision-makers’ choices over space and time. The decision-makers are multiclass and multicriteria ones and perceive the criteria of travel cost, travel time, and opportunity cost in an individual fashion. The model is a network equilibrium type and allows for the prediction of the equilibrium flows and, hence, the number of periods that members of each class of decision-makers will telecommute or commute. Qualitative properties of the equilibrium are obtained and an algorithm is given, along with convergence results, and applied to numerical examples. Copyright Springer-Verlag Berlin/Heidelberg 2003

Suggested Citation

  • Anna Nagurney & June Dong & Patricia Mokhtarian, 2003. "A space-time network for telecommuting versus commuting decision-making," Papers in Regional Science, Springer;Regional Science Association International, vol. 82(4), pages 451-473, November.
    • Handle: RePEc:spr:presci:v:82:y:2003:i:4:p:451-473
    DOI: 10.1007/s10110-003-0119-5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Feixiong Liao & Theo Arentze & Eric Molin & Wendy Bothe & Harry Timmermans, 2017. "Effects of land-use transport scenarios on travel patterns: a multi-state supernetwork application," Transportation, Springer, vol. 44(1), pages 1-25, January.
    2. Liu, Peng & Liao, Feixiong & Huang, Hai-Jun & Timmermans, Harry, 2015. "Dynamic activity-travel assignment in multi-state supernetworks," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 656-671.
    3. Nicholas S. Caros & Jinhua Zhao, 2022. "Preparing urban mobility for the future of work," Papers 2201.01321, arXiv.org.

    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:spr:presci:v:82:y:2003:i:4:p:451-473. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.