European railways: Liberalization and productive efficiency

Lerida-Navarro, Carlos; Nombela, Gustavo; Tránchez-Martín, José Manuel

doi:10.1016/j.tranpol.2019.09.002

Cited by 17 publications

(5 citation statements)

References 12 publications

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“…At the same time, SmartRail4.0 divides the strategic implementation process into three stages, clarifies the goals and tasks of each stage and plans for technologies such as ETCSL3-mobile blocking, centralized and simplified interlocking equipment, infrastructure construction automation and vehicle modularization (Lerida-Navarro, Nombela, & Tranchez-Martin, 2019).…”

Section: Current State Of Global Railway Intelligent Digital Transfor...mentioning

confidence: 99%

Current state and predicted technological trends in global railway intelligent digital transformation

Li,

Xue,

Shao

et al. 2023

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PurposeIn recent years, railway systems worldwide have faced challenges such as the modernization of engineering projects, efficient management of intelligent digital railway equipment, rapid growth in passenger and freight transport demands, customized transport services and ubiquitous transport safety. The transformation toward intelligent digital transformation in railways has emerged as an effective response to the formidable challenges confronting the railway industry, thereby becoming an inevitable global trend in railway development.Design/methodology/approachThis paper, therefore, conducts a comprehensive analysis of the current state of global railway intelligent digital transformation, focusing on the characteristics and applications of intelligent digital transformation technology. It summarizes and analyzes relevant technologies and applicable scenarios in the realm of railway intelligent digital transformation, theoretically elucidating the development process of global railway intelligent digital transformation and, in practice, providing guidance and empirical examples for railway intelligence and digital transformation.FindingsDigital and intelligent technologies follow a wave-like pattern of continuous iterative evolution, progressing from the early stages, to a period of increasing attention and popularity, then to a phase of declining interest, followed by a resurgence and ultimately reaching a mature stage.Originality/valueThe results offer reference and guidance to fully leverage the opportunities presented by the latest wave of the digitalization revolution, accelerate the overall upgrade of the railway industry and promote global collaborative development in railway intelligent digital transformation.

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Section: Current State Of Global Railway Intelligent Digital Transfor...mentioning

confidence: 99%

Current state and predicted technological trends in global railway intelligent digital transformation

Li,

Xue,

Shao

et al. 2023

View full text Add to dashboard Cite

show abstract

Section: Dea In Railway Transportmentioning

confidence: 99%

“…In addition, from the 83 surveyed papers, only 2 used both DEA and SFA to analyze efficiency: Lerida-Navarro et al [63] and Lan and Lin [64]. In this sense, rail transportation seems to take a mutually exclusive stance on methodology selection, even though some In addition, from the 83 surveyed papers, only 2 used both DEA and SFA to analyze efficiency: Lerida-Navarro et al [63] and Lan and Lin [64]. In this sense, rail transportation seems to take a mutually exclusive stance on methodology selection, even though some authors do use both approaches in transportation systems, including the second-most cited transportation-specific paper: Cullinane et al [39].…”

Section: Dea In Railway Transportmentioning

confidence: 99%

The Development of Efficiency Analysis in Transportation Systems: A Bibliometric and Systematic Review

Victorino

Peña

2023

Sustainability

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This paper presents a literature review of efficiency analysis in transportation systems (TS). It builds a bibliometric review of published data-envelopment analysis and, for the first time, stochastic frontier analysis publications in TS. The retrieved publications were separated into five groups: highway/road transportation, air transportation, maritime/port transportation, railway transportation, and urban/bus transportation. The 135 data-envelopment-analysis rail-related publications were surveyed to assess the model used, the second-stage analysis (if any), the input–output variables, the model orientation, return-to-scale assumptions, and their methodological classification. The results show that frontier methods in transportation systems have gained relevance since 2017. Also, gaps in the literature and future directions have been identified in empirical rail research, such as eco-efficiency and safety-related issues, as well as the need for a better investigation of variable choice and scale return assumptions. Finally, this paper proposes a step-by-step methodology for data envelopment analysis in rail systems.

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“…However, the growing market and aggressive liberalization changed the direction of scholarly works in the last decade. Market-related concerns became the point of focus for most of the literature, including how the EU liberalization changed market efficiency (Navarro, Nombela and Tranchez, 2019), the effects of the market reforms on rail modal shares (Tomes, 2017), the relationship between competition governance and rail market performance (Finger, 2014) and the importance of regulatory agencies (De Francesco and Castro, 2018).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Full Steam Ahead or Down? An Evaluation of European Railways After the “Year of Rail”

Ertürk

TORAL

2022

mjes

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The year 2021 was a critical juncture for European Railways. Not just the deadline for full implementation of the Fourth Railway Package, but the EU also advertised the whole year as "the year of Rail" to accelerate mobility on rail and aid member states to speed up their compliance with the norms of highly anticipated "Single European Railways". Nevertheless, both goals seemed pretty ambitious to achieve when member states were still coping with the pernicious effects of the pandemic and the war. This research evaluates EU nations' current performance towards the EU's railway regulations. Through a machine-learning model, the analysis suggests three classes of states. It assumes a significant differentiation in member state performance, which causes the EU to fall behind the assumed schedule immensely.

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European railways: Liberalization and productive efficiency

Cited by 17 publications

References 12 publications

Current state and predicted technological trends in global railway intelligent digital transformation

Current state and predicted technological trends in global railway intelligent digital transformation

The Development of Efficiency Analysis in Transportation Systems: A Bibliometric and Systematic Review

Full Steam Ahead or Down? An Evaluation of European Railways After the “Year of Rail”

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