Prioritizing transport planning strategies for freight companies towards zero carbon emission using ordinal priority approach
File(s)
Published version
Author(s)
Pamucar, Dragan
Deveci, Muhammet
Gokasar, Ilgin
Martínez, Luis
Köppen, Mario
Type
Journal Article
Abstract
Freight transportation counts for remarkable negative effects like emissions, noise, and congestion. This urges for a modal shift toward structuring a more efficient systematic network, facilitating full use of potentials among the transportation modes. Decision-makers face uncertainty and restricted information processing skills when assessing the alternatives for sustainable freight transportation. In this study, a novel extension of the Ordinal Priority Approach under picture fuzzy sets (OPA-P) is proposed to rank the alternatives. In the OPA-P algorithm, experts’ preferences are used to determine the weighting coefficients of criteria and rank the alternatives. A case study is employed to demonstrate the formulation and solution of the problem. The outcome of this study suggests the top-ranked and most important solution for the sustainable transport planning. In addition, to verify the stability of the proposed model, a validation analysis is carried out.
Date Issued
2022-07
Date Acceptance
2022-05-01
Citation
Computers & Industrial Engineering, 2022, 169, pp.1-15
ISSN
0360-8352
Publisher
Elsevier BV
Start Page
1
End Page
15
Journal / Book Title
Computers & Industrial Engineering
Volume
169
Copyright Statement
© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S0360835222003291?via%3Dihub
Subjects
Industrial Engineering & Automation
01 Mathematical Sciences
08 Information and Computing Sciences
09 Engineering
Publication Status
Published
Article Number
108259
Date Publish Online
2022-05-21