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Systematic Literature Review Protocol: Multiple-Criteria Decision-Making (MCDM) in Urban Freight Distribution

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IoT and Data Science in Engineering Management (CIO 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 160))

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Abstract

This paper presents a method for conducting a systematic literature review that can be reproduced in further research. This method focuses on identifying publications that make use of multicriteria analysis methodologies to select alternative solutions in city freight distribution that seek to minimize the ensuing social, environmental, and economic effects. The proposed protocol for literature review includes the definition of inclusion and exclusion criteria, search terms and search expression, and selection process for papers. It comprehends papers from 2012 to 2021 in the WoS and Scopus databases. The results provide details on the publications with the higher number of citations.

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Author information

Authors and Affiliations

  1. Dpto. de Producción, Institución Universitaria Pascual Bravo, Medellín, Colombia

    Sandra Alvarez Gallo

  2. Dpto. de Organización de Empresas, ROGLE, Universitat Politècnica de València, Camino de Vera S/N, 46022, Valencia, España

    Julien Maheut

Authors
  1. Sandra Alvarez Gallo
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  2. Julien Maheut
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Corresponding author

Correspondence to Sandra Alvarez Gallo .

Editor information

Editors and Affiliations

  1. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Isaac Segovia Ramírez

  3. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Pedro José Bernalte Sánchez

  4. Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain

    Alba Muñoz del Río

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Alvarez Gallo, S., Maheut, J. (2023). Systematic Literature Review Protocol: Multiple-Criteria Decision-Making (MCDM) in Urban Freight Distribution. In: García Márquez, F.P., Segovia Ramírez, I., Bernalte Sánchez, P.J., Muñoz del Río, A. (eds) IoT and Data Science in Engineering Management. CIO 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 160. Springer, Cham. https://doi.org/10.1007/978-3-031-27915-7_65

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  • DOI: https://doi.org/10.1007/978-3-031-27915-7_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-27914-0

  • Online ISBN: 978-3-031-27915-7

  • eBook Packages: EngineeringEngineering (R0)

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