Collaborative Versus Non-collaborative Bus School Routing

Luz Helena Mancera (), Julián Andrés Hincapié-Urrego, Jairo R. Montoya-Torres (), Danna Valentina Ubaque-Hernández (), Natalia Andrea Orrego-Oviedo () and Angie Natalia Montaña-Gil ()
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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

A chapter in Operations Research and Analytics in Latin America, 2023, pp 23-35 from Springer

Abstract: 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.

Keywords: Bus school routing; Collaboration; Mathematical programming; Case study (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-28870-8_2

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