Micro-hub location selection for sustainable last-mile delivery

Author:

Novotná Michaela,Švadlenka Libor,Jovčić StefanORCID,Simić VladimirORCID

Abstract

Sustainable Last-Mile Delivery (LMD) is one of the key phases in city logistics. Micro-hubs in cities are new emerging solutions for an easier and viable last-mile delivery process. The important question in smart and modern cities is the determination of the best micro-hub location for the LMD. This paper solves the micro-hub location selection for sustainable LMD using the multi-criteria decision-making (MCDM) techniques. The main reason for solving the micro-hub location selection is to make the last-mile delivery process in Pardubice as easier and effortless as possible. The Best-Worst Method (BWM), Criteria Importance Through Intercriteria Correlation (CRITIC) method, and Weighted Aggregated Sum Product Assessment (WASPAS) method are coupled to solve the micro-hub location selection for sustainable LMD. First, five criteria and alternatives are identified and discussed with the experts. Second, the hybrid criteria importance is determined by combining the BWM and CRITIC methods. Third, the obtained hybrid weights are integrated within the WASPAS method to rank the micro-hub locations. The findings of the Hybrid BWM-CRITIC-WASPAS model show the Alternative 2 („Hůrka“) as the best possible location for Pardubice in the context of the LMD. In addition, a comparative analysis with some of the existing MCDM approaches is conducted for the same problem and its results show a high level of matching with the applied hybrid BWM-CRITIC-WASPAS method, which means that Alternative 2 („Hůrka“) is strongly recommended as a micro-hub location for sustainable LMD in Pardubice.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference95 articles.

1. Fuzzy Einstein WASPAS Approach for the Economic and Societal Dynamics of the Climate Change Mitigation Strategies in Urban Mobility Planning;M Deveci;STRUCTURAL CHANGE AND ECONOMIC DYNAMICS,2022a

2. Last Mile Delivery–Problems and Issues;Macioszek E. First;ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING,2017

3. Measuring Disruptions in Last-Mile Delivery Operations;A Muñoz-Villamizar;LOGISTICS,2021

4. Sustainability trends in the postal systems of last-mile delivery;D Lazarević;PERNER’S CONTACTS,2020

5. Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade;V Simić;EUROPEAN TRANSPORTATION RESEARCH REVIEW,2021

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