Calvet, L.; Alvarez-Palau, EJ.; Viu, M.; Castillo, C.; Copado, P.; Juan, AA. (2021). Promoting Sustainable and Intelligent Freight Transportation Systems in the Barcelona Metropolitan Area. Transportation Research Procedia. 58:408-415. https://doi.org/10.1016/j.trpro.2021.11.055
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/199654
Título:
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Promoting Sustainable and Intelligent Freight Transportation Systems in the Barcelona Metropolitan Area
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Autor:
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Calvet, Laura
Alvarez-Palau, Eduard J.
Viu, Marta
Castillo, Cristian
Copado, Pedro
Juan, Angel A.
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Entidad UPV:
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Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
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Fecha difusión:
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Resumen:
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[EN] The growth of e-commerce and the on-demand economy in urban and metropolitan areas has been accelerated by the recent COVID-19 pandemic. As a consequence, logistics and transportation operators are subject to a ...[+]
[EN] The growth of e-commerce and the on-demand economy in urban and metropolitan areas has been accelerated by the recent COVID-19 pandemic. As a consequence, logistics and transportation operators are subject to a noticeable pressure to develop efficient delivery systems. These systems are also influenced by the global trend towards more sustainable transportation and mobility, which implies changes in urban policies and technological innovations ¿e.g., the substitution of traditional diesel petrol-drive vehicles by electric ones. This paper analyzes the current and predicted needs of logistics operators in the Barcelona metropolitan area. To do so, urban regulations are analyzed and key shareholders are interviewed. The analysis of these interviews promote a discussion on how the use of new `agile¿ optimization algorithms ¿which are based on the combination of biased-randomized heuristics, computer parallelization techniques, and IoT / 5G technologies¿ can contribute to enhance urban distribution practices. Finally, we present a case study in which the effect of different configurations of working/resting times and parking areas availability on routing solutions is studied. Our research aims to provide comprehensive knowledge to managers and policy-makers, and to offer them with powerful tools capable of generating real-time solutions to complex last-mile delivery challenges under dynamic conditions.
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Palabras clave:
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Urban freight distribution
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Sustainable logistics
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Vehicle routing problems
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Agile optimization algorithms
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Public policy
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Derechos de uso:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Fuente:
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Transportation Research Procedia. (eissn:
2352-1465
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DOI:
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10.1016/j.trpro.2021.11.055
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Editorial:
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Elsevier
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Versión del editor:
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https://doi.org/10.1016/j.trpro.2021.11.055
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Código del Proyecto:
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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/
info:eu-repo/grantAgreement/Agencia Estatal de Investigación//RED2018-102642-T//Spanish Network in Intelligent and Sustainable Transportation . Spanish Ministry of Science, Innovation, and Universities/
info:eu-repo/grantAgreement/EC//2019-I-ES01-KA103-062602/
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Agradecimientos:
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This work has been partially supported by the Spanish Ministry of Science (PID2019-111100RB-C21 / AEI /
10.13039/501100011033, RED2018-102642-T), and the Erasmus+ Program (2019-I-ES01-KA103-062602). We also
thank the ...[+]
This work has been partially supported by the Spanish Ministry of Science (PID2019-111100RB-C21 / AEI /
10.13039/501100011033, RED2018-102642-T), and the Erasmus+ Program (2019-I-ES01-KA103-062602). We also
thank the entities that accepted to be interviewed during the development of this study.
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Tipo:
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Artículo
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