Evaluating Sustainable Last Mile Delivery Solutions: A Multi-Criteria Decision Analysis

  • Tran T
  • Gavade S
N/ACitations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

The rapid growth of e-commerce and urbanization has caused significant last-mile delivery (LMD) challenges, requiring the implementation of sustainable solutions. To address this issue, this study proposes a new multi-criteria decision-making (MCDM) framework using the Best-Worst Method (BWM) to evaluate and rank different LMD alternatives according to 13 sustainability criteria of economic, technical, environmental, and social aspects within the context of the Netherlands. This method uses structured pairwise comparisons with experts’ perspectives to derive the relative importance of all criteria and the performance scores of all alternatives, ensuring a consistent decision-making process. Results indicate that economic and technical factors are valued higher than environmental and social considerations. Parcel lockers emerged as the most sustainable solution, followed by convenience store pickup, green vehicles, and crowdsourced delivery. The study also proposes several policy and managerial recommendations to help policymakers, logistics providers, and urban planners develop strategies that balance sustainability goals.

Cite

CITATION STYLE

APA

Tran, T. P. A., & Gavade, S. A. (2025). Evaluating Sustainable Last Mile Delivery Solutions: A Multi-Criteria Decision Analysis. Journal of Supply Chain Management Science, 6(1–2). https://doi.org/10.59490/jscms.2025.8009

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free