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A Crowdsourcing Approach for Sustainable Last Mile Delivery

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A Crowdsourcing Approach for Sustainable Last Mile Delivery

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dc.contributor.author Giret Boggino, Adriana Susana es_ES
dc.contributor.author Carrascosa Casamayor, Carlos es_ES
dc.contributor.author Julian Inglada, Vicente Javier es_ES
dc.contributor.author Rebollo Pedruelo, Miguel es_ES
dc.contributor.author Botti, V. es_ES
dc.date.accessioned 2019-05-29T20:42:03Z
dc.date.available 2019-05-29T20:42:03Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/121254
dc.description.abstract [EN] Sustainable transportation is one of the major concerns in cities. This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.). The main goal of this work is to provide an intelligent approach for Sustainable Last Mile Delivery, by reducing (or even deleting) the need of dedicated logistic moves (by cars, and/or trucks). The method attempts to reduce the number of movements originated by the parcels delivery by taking advantage of the citizens' movements. In this way our proposal follows a crowdsourcing approach, in which the citizens that moves in the city, because of their own needs, become temporal deliverers. The technology behind our approach relays on Multi-agent System techniques and complex network-based algorithms for optimizing sustainable delivery routes. These artificial intelligent approaches help to reduce the complexity of the scenario providing an efficient way to integrate the citizens' routes that can be executed using the different transportation means and networks available in the city (public system, private transportation, eco-vehicles sharing systems, etc.). A complex network-based algorithm is used for computing and proposing an optimized Sustainable Last Mile Delivery route to the crowd. Moreover, the executed tests show the feasibility of the proposed solution, together with a high reduction of the CO2 emission coming from the delivery trucks that, in the case studies, are no longer needed for delivery. es_ES
dc.description.sponsorship This research was carried out as a part of the SURF project under the grant TIN2015-65515- C4-1-R by the Spanish government. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation MINECO/SURF/TIN2015-65515- C4-1-R
dc.relation.ispartof Sustainability es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Multi agent techniques es_ES
dc.subject Last mile delivery es_ES
dc.subject Complex network-based analysis es_ES
dc.subject Sustainable delivery es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title A Crowdsourcing Approach for Sustainable Last Mile Delivery es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/su10124563 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Giret Boggino, AS.; Carrascosa Casamayor, C.; Julian Inglada, VJ.; Rebollo Pedruelo, M.; Botti, V. (2018). A Crowdsourcing Approach for Sustainable Last Mile Delivery. Sustainability. 10(12). https://doi.org/10.3390/su10124563 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.3390/su10124563 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 2071-1050 es_ES
dc.relation.pasarela S\375080 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad


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