IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v55y2004i6d10.1057_palgrave.jors.2601751.html
   My bibliography  Save this article

Models to estimate average route lengths in different geographical environments

Author

Listed:
  • A Hindle

    (Lancaster University)

  • D Worthington

    (Lancaster University)

Abstract

This paper investigates how average route lengths for travelling salesman-type (TSP) journeys are influenced by the pattern and number of points visited. Two mathematical functions to estimate average route lengths are presented. The first function relates to average route lengths when n points are randomly located and the second to average route lengths when certain areas are more likely to be visited than the others, as defined by ‘demand surfaces’. Estimation of route lengths in this way can be a useful tool in the analysis of strategic and operational distribution problems, particularly in public services such as health and social services.

Suggested Citation

  • A Hindle & D Worthington, 2004. "Models to estimate average route lengths in different geographical environments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(6), pages 662-666, June.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:6:d:10.1057_palgrave.jors.2601751
    DOI: 10.1057/palgrave.jors.2601751
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601751
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601751?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. Ansari, Sina & Başdere, Mehmet & Li, Xiaopeng & Ouyang, Yanfeng & Smilowitz, Karen, 2018. "Advancements in continuous approximation models for logistics and transportation systems: 1996–2016," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 229-252.
    2. Baller, Annelieke C. & Dabia, Said & Dullaert, Wout E.H. & Vigo, Daniele, 2019. "The Dynamic-Demand Joint Replenishment Problem with Approximated Transportation Costs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1013-1033.
    3. Anna Franceschetti & Ola Jabali & Gilbert Laporte, 2017. "Continuous approximation models in freight distribution management," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(3), pages 413-433, October.
    4. G A Hindle & A Hindle, 2010. "Developing geographical indicators of mileage-related costs: a case study exploring travelling public services in English local areas," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 714-722, May.

    More about this item

    Keywords

    route length; meta-modelling;

    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:pal:jorsoc:v:55:y:2004:i:6:d:10.1057_palgrave.jors.2601751. 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.palgrave-journals.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.