IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt1r0726j3.html
   My bibliography  Save this paper

Recursive Model System for Trip Generation and Trip Chaining

Author

Listed:
  • Goulias, Konstadinos G.
  • Kitamura, Ryuichi

Abstract

A model system is developed to describe both trip generation and trip chaining in a coherent manner. A recursive structure is adopted to represent the generation of trips for different purposes, and the number of trip chains is expressed as a function of the numbers of trips by purpose. The model system offers theoretically consistent coefficient values and quantifies the relationship between the number of trips and the number of trip chains, and can be used in the conventional forecasting procedure in place of homebased and non-home-based trip generation models. This model is applied to examine how trip chaining patterns vary across sample subgroups. The results indicate no significant variations in trip chaining behavior across car ownership subgroups. It is inferred that ear ownership influences household trip generation, but given the number of trips generated, the number of trip chains is not influenced by car ownership

Suggested Citation

  • Goulias, Konstadinos G. & Kitamura, Ryuichi, 1991. "Recursive Model System for Trip Generation and Trip Chaining," University of California Transportation Center, Working Papers qt1r0726j3, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt1r0726j3
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/1r0726j3.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Wang, Rui, 2015. "The stops made by commuters: evidence from the 2009 US National Household Travel Survey," Journal of Transport Geography, Elsevier, vol. 47(C), pages 109-118.
    2. Shahirari, Siroos & Rashidi, Taha & Dixit, Vinayak & Robson, Edward, 2021. "Assessing economic benefits of transport projects using an integrated transport-CGE approach," Research in Transportation Economics, Elsevier, vol. 90(C).
    3. Rafiq, Rezwana & McNally, Michael G., 2022. "A structural analysis of the work tour behavior of transit commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 61-79.
    4. Ballis, Haris & Dimitriou, Loukas, 2020. "Revealing personal activities schedules from synthesizing multi-period origin-destination matrices," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 224-258.

    More about this item

    Keywords

    Architecture;

    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:cdl:uctcwp:qt1r0726j3. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.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.