IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-28870-8_2.html
   My bibliography  Save this book chapter

Collaborative Versus Non-collaborative Bus School Routing

In: Operations Research and Analytics in Latin America

Author

Listed:
  • Luz Helena Mancera

    (Universidad de La Sabana, km 7 autopista norte de Bogotá, D.C., Chía, Cundinamarca)

  • Julián Andrés Hincapié-Urrego

    (Universidad de La Sabana, km 7 autopista norte de Bogotá, D.C., Chía, Cundinamarca)

  • Jairo R. Montoya-Torres

    (Universidad de La Sabana, km 7 autopista norte de Bogotá, D.C., Chía, Cundinamarca)

  • Danna Valentina Ubaque-Hernández

    (Universidad de La Sabana, km 7 autopista norte de Bogotá, D.C., Chía, Cundinamarca)

  • Natalia Andrea Orrego-Oviedo

    (Universidad de La Sabana, km 7 autopista norte de Bogotá, D.C., Chía, Cundinamarca)

  • Angie Natalia Montaña-Gil

    (Universidad de La Sabana, km 7 autopista norte de Bogotá, D.C., Chía, Cundinamarca)

Abstract

Vehicle congestion in Bogota is high, generating high operating costs and long waiting times for school buses for children. Currently, in Bogota, and in most of Colombian cities, each school owns its own transportation fleet or outsources buses for the exclusive transportation service for its own students. Student pick-up in the morning and drop-off in the afternoons can be each one modeled as the well-known bus routing problem, which is a special case of the vehicle routing problem (VRP) with a single depot (the school). This approach of the problem can generate inefficiencies when analyzing schools located nearby within the same area. Therefore, this paper compares the results obtained by applying traditional routing models, where each school picks up its students, with a collaborative transportation scheme, in which students from different schools are assigned to a shared bus fleet. This last approach allows schools in the same area picking up students regardless of the school they belong to. Mathematical models are proposed and solved using a commercial solver. As a result, due to the number of pick-up points for each configuration, the solver was not able to reach the global optimum for any of both “traditional” and “collaborative” routes. Despite this, the collaborative transportation model showed advantages in terms of the total distance traveled by the bus fleet, which decreases by 4.37%. The paper opens opportunities for further exploring the collaboration bus routing problem.

Suggested Citation

  • Luz Helena Mancera & Julián Andrés Hincapié-Urrego & Jairo R. Montoya-Torres & Danna Valentina Ubaque-Hernández & Natalia Andrea Orrego-Oviedo & Angie Natalia Montaña-Gil, 2023. "Collaborative Versus Non-collaborative Bus School Routing," Lecture Notes in Operations Research, in: Jairo R. Montoya-Torres & William J. Guerrero & David L. Cortés-Murcia (ed.), Operations Research and Analytics in Latin America, pages 23-35, Springer.
  • Handle: RePEc:spr:lnopch:978-3-031-28870-8_2
    DOI: 10.1007/978-3-031-28870-8_2
    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.

    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:lnopch:978-3-031-28870-8_2. 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.