IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/2000-10.html
   My bibliography  Save this paper

The Four Approaches to Origin-Destination Matrix Estimation for Consideration by the MYSTIC Research Consortium

Author

Listed:
  • Marc Gaudry

Abstract

In this paper, we say a few words about the context, role and classification of Origin-Destination (O-D) matrix determination procedures, with a view to situating existing research streams within a common framework. We distinguish between O-D matrix derivation approaches and proper O-D matrix estimation streams and provide rough outlines of such approaches, but without seeking a complete or exact account of the methodologies of interest. For the first class, we provide simple examples and explain some pitfalls of simplistic derivations based on an assumed proportionality to intermediate economic activity levels generating demand, or to trip ends. For the second class, we focus on the four « pure » approaches to estimation, denoted here as the Sampling, Programming, Quasi-behavioural and Regression streams (whence SPQR), without seriously considering the ways of combining them.

Suggested Citation

  • Marc Gaudry, 2000. "The Four Approaches to Origin-Destination Matrix Estimation for Consideration by the MYSTIC Research Consortium," Working Papers of BETA 2000-10, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:2000-10
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/2000/2000-10.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Guedes, M. Carmo M. & Oliveira, Natália & Santiago, Sérgio & Smirnov, Georgi, 2012. "On the evaluation of a public transportation network quality: Criteria validation methodology," Research in Transportation Economics, Elsevier, vol. 36(1), pages 39-44.

    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:ulp:sbbeta:2000-10. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.html .

    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.