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Optimization of Timetables on the Bratislava–Žilina–Košice Route in the Period after the End of the COVID-19 Pandemic

Author

Listed:
  • Milan Dedík

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

  • Vladislav Zitrický

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

  • Michal Valla

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

  • Jozef Gašparík

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

  • Tomasz Figlus

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

Abstract

Quality and efficient long-distance transport as a key system of public passenger transport could be the basis for the national and international comprehensive integrated transport system. Especially due to the pandemic caused by the COVID-19 disease, the demand for long-distance transport has significantly decreased since March 2020 in the Slovak Republic on the busiest long-distance line Bratislava–Žilina–Košice. It is, therefore, necessary to propose various measures in order to increase this demand and bring passenger frequencies to at least the level of values before this period. This paper analyzes the impact of the measures on passenger frequencies in 2020, examining the amount of their fall in individual months of the first half of the year 2020 on the long-distance route Bratislava–Žilina–Košice. Furthermore, the paper deals with the long-term concept of national long-distance passenger rail transport on the mentioned line in the period after the end of the pandemic. It uses scientific methods enabling to rationalize and optimize current train timetables. The benefits of these proposals will be to offer passengers better transport services, with their frequencies expected to increase in the coming years.

Suggested Citation

  • Milan Dedík & Vladislav Zitrický & Michal Valla & Jozef Gašparík & Tomasz Figlus, 2022. "Optimization of Timetables on the Bratislava–Žilina–Košice Route in the Period after the End of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5031-:d:799625
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    References listed on IDEAS

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    1. Peter Mako & Andrej Dávid & Patrik Böhm & Sorin Savu, 2021. "Sustainable Transport in the Danube Region," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    2. Qipeng Sun & Xiu Wang & Fei Ma & Yanhu Han & Qianqian Cheng, 2019. "Synergetic Effect and Spatial-Temporal Evolution of Railway Transportation in Sustainable Development of Trade: An Empirical Study Based on the Belt and Road," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
    3. Pellegrini, Paola & Marlière, Grégory & Rodriguez, Joaquin, 2014. "Optimal train routing and scheduling for managing traffic perturbations in complex junctions," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 58-80.
    4. Armando Cartenì & Luca D’Acierno & Mariano Gallo, 2020. "A Rational Decision-Making Process with Public Engagement for Designing Public Transport Services: A Real Case Application in Italy," Sustainability, MDPI, vol. 12(16), pages 1-26, August.
    5. Jozef Gasparik & Milan Dedik & Lukas Cechovic & Peter Blaho, 2020. "Estimation of Transport Potential in Regional Rail Passenger Transport by Using the Innovative Mathematical-Statistical Gravity Approach," Sustainability, MDPI, vol. 12(9), pages 1-13, May.
    6. Petr Nachtigall & Jaromír Široký & Erik Tischer, 2020. "Assessing the Efficiency of Increasing the Track Speed in the Line Section Rokycany–Plzeň hl. n," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
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    Cited by:

    1. Černá Lenka & Pribula Daniel & Bulková Zdenka & Abramović Borna, 2023. "Draft of Public Rail Passenger Transport During the COVID-19 Pandemic," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 77-88, January.
    2. Mašek Jaroslav & Pálková Adriana & Blaho Peter & Halajová Štefánia & Jursová Simona & Šipuš Denis, 2023. "Proposal for Using IT Solutions in Public Passenger Transport in Slovak Republic to Reduce the Spread of COVID-19," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 14(1), pages 181-191, January.
    3. Zilong Fan & Di Liu & Wenyu Rong & Chengrui Li, 2022. "A Multi-Objective Optimization Model for the Intercity Railway Train Operation Plan: The Case of Beijing-Xiong’an ICR," Sustainability, MDPI, vol. 14(14), pages 1-18, July.

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