Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: a comprehensive framework

Date

2025-10-01

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • European Commission/Horizon 2020 Framework Programme/101034285 openaire
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-140278NB-I00/ES/ recolecta
  • AEI//RED2022-134703-T/
Impacto
OpenAlexGoogle Scholar
cited by count

Abstract

Crowdshipping, a collaborative economy model that takes advantage of the crowd for the delivery of goods, promises to address the problems of urban logistics. This article integrates the literature to identify relevant factors that influence the success of crowdshipping, while addressing sustainability objectives. We use the PRISMA method, a widely recognized framework for systematic reviews that, by meeting high-quality standards, guarantees the reliability of the evidence. We systematically reviewed the literature to address three research questions: identifying factors that influence crowdshipping success, evaluating its contribution to sustainability goals, and evaluating the role of Operation Research (OR) in improving crowdshipping efficiency. Specifically, OR techniques offer significant potential for optimizing routing, matching supply and demand, and enhancing decision-making processes. Through this comprehensive and in-depth analysis, we provide information for future research, modeling, practical implementation, and potential policy recommendations.

Description

Keywords

Crowdshipping, Crowd logistics, Sustainable transport, Systematic literature review

Department

Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Garcia-Herrera, A., Serrano-Hernandez, A., Faulin, J. (2025) Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: a comprehensive framework. Socio-Economic Planning Sciences, 101, 1-18. https://doi.org/10.1016/j.seps.2025.102249.

item.page.rights

© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.

Licencia

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