Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method

Road haulage solutions are incredibly adaptable, having the capacity to link domestically and internationally. Road transportation offers a greener, more efficient, and safer future through sophisticated technology. Symmetry and asymmetry exist widely in industrial applications, and logistics and su...

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Published in:Symmetry
Main Authors: Chia-Nan Wang, Tran Quynh Le, Kuei-Hu Chang, Thanh-Tuan Dang
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Online Access:https://doi.org/10.3390/sym14051033
https://doaj.org/article/2ebb3b516afd44a88fff3746b0c18e18
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spelling ftdoajarticles:oai:doaj.org/article:2ebb3b516afd44a88fff3746b0c18e18 2023-05-15T16:51:50+02:00 Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method Chia-Nan Wang Tran Quynh Le Kuei-Hu Chang Thanh-Tuan Dang 2022-05-01T00:00:00Z https://doi.org/10.3390/sym14051033 https://doaj.org/article/2ebb3b516afd44a88fff3746b0c18e18 EN eng MDPI AG https://www.mdpi.com/2073-8994/14/5/1033 https://doaj.org/toc/2073-8994 doi:10.3390/sym14051033 2073-8994 https://doaj.org/article/2ebb3b516afd44a88fff3746b0c18e18 Symmetry, Vol 14, Iss 1033, p 1033 (2022) road transport sustainability OECD countries conflicting criteria objective weighting entropy Mathematics QA1-939 article 2022 ftdoajarticles https://doi.org/10.3390/sym14051033 2022-12-30T20:40:15Z Road haulage solutions are incredibly adaptable, having the capacity to link domestically and internationally. Road transportation offers a greener, more efficient, and safer future through sophisticated technology. Symmetry and asymmetry exist widely in industrial applications, and logistics and supply chains are no exception. The multi-criteria decision-making (MCDM) model is considered as a complexity tool to balance the symmetry between goals and conflicting criteria. This study can assist stakeholders in understanding the current state of transportation networks and planning future sustainability measures through the MCDM approach. The main purpose of this paper is to evaluate and compare the sustainable development of existing road transportation systems to determine whether any of them can be effectively developed in the Organization for Economic Cooperation and Development (OECD) countries. The integrated entropy–CoCoSo approach for evaluating the sustainability of road transportation systems is introduced, and the framework process is proposed. The entropy method defines the weight of the decision criteria based on the real data. The advantage of the entropy method is that it reduces the subjective impact of decision-makers and increases objectivity. The CoCoSo method is applied for ranking the road transportation sustainability performance of OECD countries. Our findings revealed the top three countries’ sustainability performance: Japan, Germany, and France. These are countries with developed infrastructure and transportation services. Iceland, the United States, and Latvia were in the last rank among countries. This approach helps governments, decision-makers, or policyholders review current operation, benchmark the performance of other countries and devise new strategies for road transportation development to achieves better results. Article in Journal/Newspaper Iceland Directory of Open Access Journals: DOAJ Articles Symmetry 14 5 1033
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic road transport
sustainability
OECD countries
conflicting criteria
objective weighting
entropy
Mathematics
QA1-939
spellingShingle road transport
sustainability
OECD countries
conflicting criteria
objective weighting
entropy
Mathematics
QA1-939
Chia-Nan Wang
Tran Quynh Le
Kuei-Hu Chang
Thanh-Tuan Dang
Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method
topic_facet road transport
sustainability
OECD countries
conflicting criteria
objective weighting
entropy
Mathematics
QA1-939
description Road haulage solutions are incredibly adaptable, having the capacity to link domestically and internationally. Road transportation offers a greener, more efficient, and safer future through sophisticated technology. Symmetry and asymmetry exist widely in industrial applications, and logistics and supply chains are no exception. The multi-criteria decision-making (MCDM) model is considered as a complexity tool to balance the symmetry between goals and conflicting criteria. This study can assist stakeholders in understanding the current state of transportation networks and planning future sustainability measures through the MCDM approach. The main purpose of this paper is to evaluate and compare the sustainable development of existing road transportation systems to determine whether any of them can be effectively developed in the Organization for Economic Cooperation and Development (OECD) countries. The integrated entropy–CoCoSo approach for evaluating the sustainability of road transportation systems is introduced, and the framework process is proposed. The entropy method defines the weight of the decision criteria based on the real data. The advantage of the entropy method is that it reduces the subjective impact of decision-makers and increases objectivity. The CoCoSo method is applied for ranking the road transportation sustainability performance of OECD countries. Our findings revealed the top three countries’ sustainability performance: Japan, Germany, and France. These are countries with developed infrastructure and transportation services. Iceland, the United States, and Latvia were in the last rank among countries. This approach helps governments, decision-makers, or policyholders review current operation, benchmark the performance of other countries and devise new strategies for road transportation development to achieves better results.
format Article in Journal/Newspaper
author Chia-Nan Wang
Tran Quynh Le
Kuei-Hu Chang
Thanh-Tuan Dang
author_facet Chia-Nan Wang
Tran Quynh Le
Kuei-Hu Chang
Thanh-Tuan Dang
author_sort Chia-Nan Wang
title Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method
title_short Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method
title_full Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method
title_fullStr Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method
title_full_unstemmed Measuring Road Transport Sustainability Using MCDM-Based Entropy Objective Weighting Method
title_sort measuring road transport sustainability using mcdm-based entropy objective weighting method
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/sym14051033
https://doaj.org/article/2ebb3b516afd44a88fff3746b0c18e18
genre Iceland
genre_facet Iceland
op_source Symmetry, Vol 14, Iss 1033, p 1033 (2022)
op_relation https://www.mdpi.com/2073-8994/14/5/1033
https://doaj.org/toc/2073-8994
doi:10.3390/sym14051033
2073-8994
https://doaj.org/article/2ebb3b516afd44a88fff3746b0c18e18
op_doi https://doi.org/10.3390/sym14051033
container_title Symmetry
container_volume 14
container_issue 5
container_start_page 1033
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