A data envelopment analysis approach for evaluating high-speed freight transportation efficiency
Rail transport has a high potential for the development of countries and their economies and is aligned with the policies associated with the energy transition. This study addresses the need for support tools to assess the potential of rail freight transport on high-speed lines. Our motivation stems...
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Elsevier
2025-01-01
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Series: | Transportation Research Interdisciplinary Perspectives |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S259019822500017X |
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author | Paulo Chenrrim Susana Relvas |
author_facet | Paulo Chenrrim Susana Relvas |
author_sort | Paulo Chenrrim |
collection | DOAJ |
description | Rail transport has a high potential for the development of countries and their economies and is aligned with the policies associated with the energy transition. This study addresses the need for support tools to assess the potential of rail freight transport on high-speed lines. Our motivation stems from the fact that this is still an under-explored topic and the importance it can have for the efficiency of the transport and logistics systems. The methodology in this article is based on the use of Data Envelopment Analysis (DEA) through the BCC (Banker, Charnes, and Cooper) model and VRS (Variable Returns Scale) approach with an input orientation and the global Malmquist Productivity Index (MPI) to assess the efficiency of the freight transport option on high-speed networks, with the aim of contributing to more informed decision-making.The proposed methodology was applied to the Portuguese context. We found that increasing train speed can increase the overall efficiency score of the Decision-Making Units (DMUs) by 21 percentage points compared to a scenario without this input, thus boosting the technical efficiency of freight railway companies. This result, while cautious, highlights the importance of considering various inputs to optimise the performance of these companies. |
format | Article |
id | doaj-art-9070be849bde482e92a2a9154a1b2fe6 |
institution | Kabale University |
issn | 2590-1982 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Transportation Research Interdisciplinary Perspectives |
spelling | doaj-art-9070be849bde482e92a2a9154a1b2fe62025-02-09T05:01:20ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-01-0129101338A data envelopment analysis approach for evaluating high-speed freight transportation efficiencyPaulo Chenrrim0Susana Relvas1Corresponding author.; CEGIST - Centre for Management Studies, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, PortugalCEGIST - Centre for Management Studies, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, PortugalRail transport has a high potential for the development of countries and their economies and is aligned with the policies associated with the energy transition. This study addresses the need for support tools to assess the potential of rail freight transport on high-speed lines. Our motivation stems from the fact that this is still an under-explored topic and the importance it can have for the efficiency of the transport and logistics systems. The methodology in this article is based on the use of Data Envelopment Analysis (DEA) through the BCC (Banker, Charnes, and Cooper) model and VRS (Variable Returns Scale) approach with an input orientation and the global Malmquist Productivity Index (MPI) to assess the efficiency of the freight transport option on high-speed networks, with the aim of contributing to more informed decision-making.The proposed methodology was applied to the Portuguese context. We found that increasing train speed can increase the overall efficiency score of the Decision-Making Units (DMUs) by 21 percentage points compared to a scenario without this input, thus boosting the technical efficiency of freight railway companies. This result, while cautious, highlights the importance of considering various inputs to optimise the performance of these companies.http://www.sciencedirect.com/science/article/pii/S259019822500017XPublic policiesRailway freight transportTechnical efficiencyHigh-speed rail networkBCC DEAMalmquist Index |
spellingShingle | Paulo Chenrrim Susana Relvas A data envelopment analysis approach for evaluating high-speed freight transportation efficiency Transportation Research Interdisciplinary Perspectives Public policies Railway freight transport Technical efficiency High-speed rail network BCC DEA Malmquist Index |
title | A data envelopment analysis approach for evaluating high-speed freight transportation efficiency |
title_full | A data envelopment analysis approach for evaluating high-speed freight transportation efficiency |
title_fullStr | A data envelopment analysis approach for evaluating high-speed freight transportation efficiency |
title_full_unstemmed | A data envelopment analysis approach for evaluating high-speed freight transportation efficiency |
title_short | A data envelopment analysis approach for evaluating high-speed freight transportation efficiency |
title_sort | data envelopment analysis approach for evaluating high speed freight transportation efficiency |
topic | Public policies Railway freight transport Technical efficiency High-speed rail network BCC DEA Malmquist Index |
url | http://www.sciencedirect.com/science/article/pii/S259019822500017X |
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