Optimizing freight delivery routes: the time-distance dilemma

dc.contributor.authorAlvarez Indave, Pablo
dc.contributor.authorSerrano Hernández, Adrián
dc.contributor.authorLerga Valencia, Iosu
dc.contributor.authorFaulín Fajardo, Javier
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA26-2022
dc.date.accessioned2024-11-25T15:56:17Z
dc.date.available2024-11-25T15:56:17Z
dc.date.issued2024-12-01
dc.date.updated2024-11-25T15:27:49Z
dc.description.abstractTraditional approaches to optimizing freight delivery routes are based on minimizing a distance-based cost function. New approaches also use time as an objective function to minimize. However, the trade-off between time and distance is sometimes unclear. This paper presents a new approach to route optimization in which both time and distance are considered conjointly. For this purpose, the vehicle operating cost and the value of time have been used to translate time and distance into monetary units. By studying three different networks in Spain with varying levels of detail (the region of Catalonia, the city of Barcelona, and the Pamplona city center), the results show that minimizing both time and distance yield better results than the traditional approach, especially at a local level, where congestion effects are more relevant. These findings are helpful for logistics companies to optimize their operations, as well as for public authorities who could employ these models to make decisions and create policies on logistics.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Science, Innovation, and Universities (PID2022-140278NBI00; RED2022-134703-T) and the SEPIE Erasmus+ Program (2019-I-ES01-KA103-062602). Additionally we acknowledge the support from the Public University of Navarra for Young Researchers Projects Program, Spain (PJUPNA26-2022) and the UNED-Pamplona for their research projects call (UNEDPAM/PI/PR24/04P).
dc.format.mimetypeapplication/pdfen
dc.identifier.citationÁlvarez, P., Serrano-Hernandez, A., Lerga, I., Faulin, F. J. (2024) Optimizing freight delivery routes: The time-distance dilemma. Transportation Research, Part A: Policy and Practice, 190, 1-12. https://doi.org/10.1016/j.tra.2024.104283.
dc.identifier.doi10.1016/j.tra.2024.104283
dc.identifier.issn0965-8564
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52587
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofTransportation Research, Part A: Policy and Practice 190, 2024, 104283
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140278NB-I00/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//RED2022-134703-T/
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/ERASMUS+/2019-1-ES01-KA103-062602/
dc.relation.publisherversionhttps://doi.org/10.1016/j.tra.2024.104283
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectVehicle routing problemen
dc.subjectUrban logisticsen
dc.subjectTimeen
dc.subjectDistanceen
dc.subjectCongestionen
dc.subjectLast-mile distributionen
dc.subjectValue of timeen
dc.subjectModelingen
dc.titleOptimizing freight delivery routes: the time-distance dilemmaen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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