Evaluation of Railway Infrastructure Managers’ Efficiency Using a Pearson’s Correlation-Based DEA Method Model

Efficient management of railway infrastructure is recognized as a cornerstone for the sustainable development of the transport sector, as it plays a critical role in reducing congestion, mitigating environmental pollution, and enhancing mobility.The modernization and optimization of railway systems are essential for the optimal utilization of resources and the advancement of a more competitive and environmentally sustainable sector.Railway infrastructure managers (RIMs) are entrusted with the responsibility of ensuring efficient infrastructure management, maintenance, and modernization, thereby guaranteeing the safety, reliability, and sustainability of railway systems.In this study, a methodological framework was proposed for evaluating the efficiency of RIMs by integrating Pearson's correlation and the Data Envelopment Analysis (DEA) method.The efficiency evaluation was conducted based on key performance indicators (KPIs) associated with railway infrastructure management.Pearson's correlation was employed to analyze the relationships among 35 KPIs, while the DEA method was utilized to identify efficient managers.The developed framework offers a novel approach for creating analytical tools tailored to RIMs, providing regulatory bodies and decision-makers with a valuable toolset to implement best practices and enhance competitiveness.The findings of this study have practical implications, enabling performance comparisons, the development of management strategies, and the formulation of policies aimed at fostering a more sustainable and efficient railway industry.

Authors

Publication Details

Journal
Opportunities and Challenges in Sustainability
Published
2024-12-31
DOI
https://doi.org/10.56578/ocs030405
Citations
2
Primary Topic
Transport and Economic Policies
Type
article
Field-Weighted Citation Impact
1.11
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article

Evaluation of Railway Infrastructure Managers’ Efficiency Using a Pearson’s Correlation-Based DEA Method Model

Aida Kalem, Nermin Čabrić, Mladen Dragan Krstić, Snežana Radoman Tadić et al.
2 citations
Opportunities and Challenges in Sustainability
Transport and Economic Policies
1.11
article

Evaluation of Railway Infrastructure Managers’ Efficiency Using a Pearson’s Correlation-Based DEA Method Model

Aida Kalem, Nermin Čabrić, Mladen Dragan Krstić, Snežana Radoman Tadić, Adisa Medić, Nedžad Branković
article en
2 citations

Abstract

Efficient management of railway infrastructure is recognized as a cornerstone for the sustainable development of the transport sector, as it plays a critical role in reducing congestion, mitigating environmental pollution, and enhancing mobility.The modernization and optimization of railway systems are essential for the optimal utilization of resources and the advancement of a more competitive and environmentally sustainable sector.Railway infrastructure managers (RIMs) are entrusted with the responsibility of ensuring efficient infrastructure management, maintenance, and modernization, thereby guaranteeing the safety, reliability, and sustainability of railway systems.In this study, a methodological framework was proposed for evaluating the efficiency of RIMs by integrating Pearson's correlation and the Data Envelopment Analysis (DEA) method.The efficiency evaluation was conducted based on key performance indicators (KPIs) associated with railway infrastructure management.Pearson's correlation was employed to analyze the relationships among 35 KPIs, while the DEA method was utilized to identify efficient managers.The developed framework offers a novel approach for creating analytical tools tailored to RIMs, providing regulatory bodies and decision-makers with a valuable toolset to implement best practices and enhance competitiveness.The findings of this study have practical implications, enabling performance comparisons, the development of management strategies, and the formulation of policies aimed at fostering a more sustainable and efficient railway industry.

Opportunities and Challenges in SustainabilityVol. 3(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Transport and Economic Policies
1.11
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Evaluation of Railway Infrastructure Managers’ Efficiency Using a Pearson’s Correlation-Based DEA Method Model — Aida Kalem, Nermin Čabrić, et al. · Opportunities and Challenges in Sustainability (2024) | TGRS Research Map | TGRS