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Analytical Procedures for the Evaluation of Infrastructural Measures for Increasing the Capacity of Railway Lines

Author

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  • Zdenka Bulková

    (Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Žilina, 01026 Žilina, Slovakia)

  • Jozef Gašparík

    (Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Žilina, 01026 Žilina, Slovakia)

  • Jaroslav Mašek

    (Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Žilina, 01026 Žilina, Slovakia)

  • Vladislav Zitrický

    (Department of Railway Transport, Faculty of Operation and Economics of Transport and Communications, University of Žilina, 01026 Žilina, Slovakia)

Abstract

The issues that determine the capacity of railway infrastructure are topical in situations that are reaching operating limits. According to the objectives of the European transport policy, it is assumed that up to 30% of road freight over 300 km should shift to other modes such as rail or waterborne transport by 2030. The transport system should become more competitive and efficient in the use of resources. This places high demands on the railway infrastructure, which is mainly operated in a mixed transport mode, with both passengers and freight. It is necessary to increase the capacity of these lines as a priority. The intent of this paper is to propose procedures that will simply and accurately determine the quantification of benefits for increasing the throughput performance of the line. For the initial estimates and assessments of investment measures, it is advantageous to use analytical methods to determine the throughput performance. The methodological approach for determining the throughput performance in the anticipated timetable and case study were approximated on the example of the rail freight corridor marked “Amber” that passes through Slovakia. Analytical procedures have been proposed according to the methodology used on the railways of Slovakia, and the quality issues were assessed using a new approach for determining the optimal and critical throughput performance. The mentioned procedures are advantageous for assessing infrastructural measures from the point of view of a railway infrastructure manager.

Suggested Citation

  • Zdenka Bulková & Jozef Gašparík & Jaroslav Mašek & Vladislav Zitrický, 2022. "Analytical Procedures for the Evaluation of Infrastructural Measures for Increasing the Capacity of Railway Lines," Sustainability, MDPI, vol. 14(21), pages 1-28, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14430-:d:962401
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    References listed on IDEAS

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    1. Ruxin Wang & Lei Nie & Yuyan Tan, 2020. "Evaluating Line Capacity with an Analytical UIC Code 406 Compression Method and Blocking Time Stairway," Energies, MDPI, vol. 13(7), pages 1-16, April.
    2. Jaromír Široký & Petr Nachtigall & Erik Tischer & Jozef Gašparík, 2021. "Simulation of Railway Lines with a Simplified Interlocking System," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    3. Jiamin Zhang & Jiarui Zhang & Polinpapilinho Katina, 2021. "Structure Optimization of Mixed-Speed Train Traffic for Cyclic Timetable: Model and Algorithm Development," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, December.
    4. Abril, M. & Barber, F. & Ingolotti, L. & Salido, M.A. & Tormos, P. & Lova, A., 2008. "An assessment of railway capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 774-806, September.
    5. E. R. Petersen, 1974. "Over-the-Road Transit Time for a Single Track Railway," Transportation Science, INFORMS, vol. 8(1), pages 65-74, February.
    6. Pier Giuseppe Sessa & Valerio Martinis & Axel Bomhauer-Beins & Ulrich Alois Weidmann & Francesco Corman, 2021. "A hybrid stochastic approach for offline train trajectory reconstruction," Public Transport, Springer, vol. 13(3), pages 675-698, October.
    Full references (including those not matched with items on IDEAS)

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