Optimizing freight delivery routes: the time-distance dilemma
dc.contributor.author | Alvarez Indave, Pablo | |
dc.contributor.author | Serrano Hernández, Adrián | |
dc.contributor.author | Lerga Valencia, Iosu | |
dc.contributor.author | Faulín Fajardo, Javier | |
dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA26-2022 | |
dc.date.accessioned | 2024-11-25T15:56:17Z | |
dc.date.available | 2024-11-25T15:56:17Z | |
dc.date.issued | 2024-12-01 | |
dc.date.updated | 2024-11-25T15:27:49Z | |
dc.description.abstract | Traditional 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.sponsorship | This 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.mimetype | application/pdf | en |
dc.identifier.citation | Álvarez, 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.doi | 10.1016/j.tra.2024.104283 | |
dc.identifier.issn | 0965-8564 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/52587 | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.ispartof | Transportation Research, Part A: Policy and Practice 190, 2024, 104283 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140278NB-I00/ES/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//RED2022-134703-T/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/ERASMUS+/2019-1-ES01-KA103-062602/ | |
dc.relation.publisherversion | https://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.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Vehicle routing problem | en |
dc.subject | Urban logistics | en |
dc.subject | Time | en |
dc.subject | Distance | en |
dc.subject | Congestion | en |
dc.subject | Last-mile distribution | en |
dc.subject | Value of time | en |
dc.subject | Modeling | en |
dc.title | Optimizing freight delivery routes: the time-distance dilemma | en |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dspace.entity.type | Publication | |
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