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<title>Promoting sustainable and intelligent freight transportation systems in the Barcelona metropolitan area</title>
<creator>Calvet, Laura</creator>
<creator>Copado-Méndez, Pedro J.</creator>
<creator>Juan, Angel A.</creator>
<creator>Alvarez-Palau, Eduard J.</creator>
<creator>Viu, Marta</creator>
<creator>Castillo, Cristian</creator>
<subject>Transporte de mercancías</subject>
<subject>Operaciones</subject>
<subject>Logística</subject>
<subject>Transportation of goods</subject>
<subject>Operations</subject>
<subject>Logistics</subject>
<description>Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos</description>
<description>The growth of e-commerce and the on-demand economy in urban and metropolitan areas&#xd;
has been accelerated by the recent COVID-19 pandemic. As a consequence, logistics and&#xd;
transportation operators are subject to a noticeable pressure to develop efficient delivery&#xd;
systems. These systems are also influenced by the global trend towards more sustainable&#xd;
transportation and mobility, which implies changes in urban policies and technological&#xd;
innovations --$e.g.$, the substitution of traditional diesel petrol-drive vehicles by electric&#xd;
ones. This paper analyzes the current and predicted needs of logistics operators in the&#xd;
Barcelona metropolitan area. To do so, urban regulations are analyzed and key&#xd;
shareholders are interviewed. The analysis of these interviews promote a discussion on&#xd;
how the use of new `agile' optimization algorithms --which are based on the combination&#xd;
of biased-randomized heuristics, computer parallelization techniques, and IoT / 5G&#xd;
technologies-- can contribute to enhance urban distribution practices. Finally, we present a&#xd;
case study in which the effect of different configurations of working/resting times and&#xd;
parking areas availability on routing solutions is studied. Our research aims to provide&#xd;
comprehensive knowledge to managers and policy-makers, and to offer them with&#xd;
powerful tools capable of generating real-time solutions to complex last-mile delivery&#xd;
challenges under dynamic conditions.</description>
<date>2022-09-19</date>
<date>2022-09-19</date>
<date>2021-07</date>
<type>info:eu-repo/semantics/conferenceObject</type>
<identifier>978-84-18465-12-3</identifier>
<identifier>http://hdl.handle.net/10259/6912</identifier>
<identifier>10.36443/10259/6912</identifier>
<language>eng</language>
<relation>R-Evolucionando el transporte</relation>
<relation>http://hdl.handle.net/10259/6490</relation>
<relation>https://doi.org/10.36443/9788418465123</relation>
<relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C21/ES/ALGORITMOS AGILES, INTERNET DE LAS COSAS, Y ANALITICA DE DATOS PARA UN TRANSPORTE SOSTENIBLE EN CIUDADES INTELIGENTES</relation>
<relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102642-T/ES/RED ESPAÑOLA EN TRANSPORTE SOSTENIBLE E INTELIGENTE</relation>
<relation>info:eu-repo/grantAgreement/EC/Erasmus+/2019-I-ES01-KA103-062602</relation>
<rights>info:eu-repo/semantics/openAccess</rights>
<publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>