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Estimation of Transport Potential in Regional Rail Passenger Transport by Using the Innovative Mathematical-Statistical Gravity Approach

Author

Listed:
  • Jozef Gasparik

    (Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, Slovakia)

  • Milan Dedik

    (Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, Slovakia)

  • Lukas Cechovic

    (Faculty of Operation and Economics of Transport and Communications, University of Zilina, 010 26 Zilina, Slovakia)

  • Peter Blaho

    (Railways of the Slovak Republic, 813 61 Bratislava, Slovakia)

Abstract

Planning the range of transport services in the selected geographical area is particularly relevant in the context of developing integrated transport systems. The aim is to build a sustainable public passenger transport system as an alternative to individual transport. Realizing quality and efficient transport services is a comprehensive process, though there are currently no applicable principles of its proposal and creation in terms of creating the appropriate range of railway infrastructure. The paper presents the general research results focused on solving the problems of transport services in the regional passenger railway transport. The gravity model allows the study of the dependence between the population in the adjacent area, the availability of stops and the length of the transport line. A part of the research is to adjust the inputs of this model to more accurately determine the range of railway infrastructure. Based on the research of the palette of railway lines, the necessary capacity of infrastructure in terms of ensuring the required number of trains in peak hours is adjusted. The output is a proposal of the session to the calculation of transport potential and subsequently its practical application. Finally, based on its resulting values, it is possible to adjust the transport concept to set up a more efficient and higher quality timetable.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3821-:d:355143
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    References listed on IDEAS

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    1. Polinder, G.-J. & Breugem, T. & Dollevoet, T.A.B. & Maróti, G., 2019. "An Adjustable Robust Optimization Approach for Periodic Timetabling," Econometric Institute Research Papers EI2019-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    5. Polinder, Gert-Jaap & Breugem, Thomas & Dollevoet, Twan & Maróti, Gábor, 2019. "An adjustable robust optimization approach for periodic timetabling," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 50-68.
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    Cited by:

    1. 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.
    2. Veronika Harantová & Alica Kalašová & Simona Skřivánek Kubíková & Jaroslav Mazanec & Radomíra Jordová, 2022. "The Impact of Mobility on Shopping Preferences during the COVID-19 Pandemic: The Evidence from the Slovak Republic," Mathematics, MDPI, vol. 10(9), pages 1-27, April.
    3. Jozef Gnap & Šimon Senko & Mariusz Kostrzewski & Mária Brídziková & Renáta Cződörová & Zdeněk Říha, 2021. "Research on the Relationship between Transport Infrastructure and Performance in Rail and Road Freight Transport—A Case Study of Japan and Selected European Countries," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    4. Zeyu Wang & Leishan Zhou & Bin Guo & Xing Chen & Hanxiao Zhou, 2021. "An Efficient Hybrid Approach for Scheduling the Train Timetable for the Longer Distance High-Speed Railway," Sustainability, MDPI, vol. 13(5), pages 1-22, February.

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