Selecting freight transportation modes in last-mile urban distribution in Pamplona (Spain): an option for drone delivery in smart cities

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dc.contributor.authorSerrano Hernández, Adrián
dc.contributor.authorBallano Biurrun, Aitor
dc.contributor.authorFaulín Fajardo, Javier
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentEconomíaes_ES
dc.contributor.departmentEkonomiaeu
dc.date.accessioned2022-01-17T08:58:23Z
dc.date.available2022-01-17T08:58:23Z
dc.date.issued2021
dc.description.abstractUrban distribution in medium-sized cities faces a major challenge, mainly when deliveries are difficult in the city center due to: an increase of e-commerce, weak public transportation system, and the promotion of urban sustainability plans. As a result, private cars, public transportation, and freight transportation compete for the same space. This paper analyses the current state for freight logistics in the city center of Pamplona (Spain) and proposes alternative transportation routes and transportation modes in the last-mile city center distribution according to different criteria evaluated by residents. An analytic hierarchy process (AHP) was developed. A number of alternatives have been assessed considering routes and transportation modes: the shortest route criterion and avoiding some city center area policies are combined with traditional van-based, bike, and aerial (drone) distribution protocols for delivering parcels and bar/restaurant supplies. These alternatives have been evaluated within a multicriteria framework in which economic, environmental, and social objectives are considered at the same time. The point in this multicriteria framework is that the criteria/alternative AHP weights and priorities have been set according to a survey deployed in the city of Pamplona (Navarre, Spain). The survey and AHP results show the preference for the use of drone or bike distribution in city center in order to reduce social and environmental issues.en
dc.description.sponsorshipThis work has been partially supported by the Spanish Ministry of Science, Innovation, and Universities (PID2019-111100RB-C22/AEI/10.13039/501100011033; RED2018-102642-T), and the 'la Caixa' Foundation (LCF/PR/PR15/51100007) project. Moreover, we appreciate the financial support of the Erasmus+ Program (2018-1-ES01-KA103-049767).en
dc.format.extent17 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.3390/en14164748
dc.identifier.issn1996-1073
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/41781
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofEnergies 2021, 14, 4748en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C22/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICIU/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102642-T/
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/ERASMUS+/2018-1-ES01-KA103-049767/
dc.relation.publisherversionhttps://doi.org/10.3390/en14164748
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAnalytic hierarchy processen
dc.subjectDronesen
dc.subjectEnergy optimizationen
dc.subjectFreight urban transportationen
dc.titleSelecting freight transportation modes in last-mile urban distribution in Pamplona (Spain): an option for drone delivery in smart citiesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationa5bd4bdf-1145-4413-84b6-682cbe997245
relation.isAuthorOfPublication2f9b6dfd-9ac6-42b0-bff1-82079b8a03b8
relation.isAuthorOfPublication.latestForDiscoverya5bd4bdf-1145-4413-84b6-682cbe997245

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