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Decision-Making Process in the Case of Insufficient Rail Capacity

Author

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  • Anna Dolinayova

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

  • Vladislav Zitricky

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

  • Lenka Cerna

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

Abstract

One of the main priorities of transport policy in the EU is to take measures to support railway transport as an environmentally friendly transport mode. An interesting challenge for a railway transport operation is represented with cost items for its operation. This problem is exacerbated if transport flows are routed through a congested railway infrastructure. If some or all transport takes place on congested rail infrastructure, the carrier’s costs increase, which may ultimately lead to withdrawal from the market. The article deals with the impact of insufficient capacity on the rail carrier’s costs. We used a pre-cost calculation methodology to calculate the rail carrier’s additional costs due to the insufficient railway network capacity based on detailed calculation of train costs and proposed a methodology for carrier decision-making in case of insufficient rail infrastructure capacity. The case study showed that the use of a diversion track in case of insufficient planned rail line capacity may not be advantageous for carriers, even with a longer waiting time for capacity to be released. One of the ways to eliminate the negative effects of congested railway infrastructure is investment in the increase of its capacity.

Suggested Citation

  • Anna Dolinayova & Vladislav Zitricky & Lenka Cerna, 2020. "Decision-Making Process in the Case of Insufficient Rail Capacity," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5023-:d:373685
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    References listed on IDEAS

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    1. Henryk KOMSTA & Iwona RYBICKA & Bibiana BUKOVA & Eva BRUMERCIKOVA, 2018. "The Case Study Of The Cargobeamer System Use In Rail Transport In Slovakia," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 13(3), pages 144-149, September.
    2. Junayed Pasha & Maxim A. Dulebenets & Olumide F. Abioye & Masoud Kavoosi & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida," Sustainability, MDPI, vol. 12(10), pages 1-27, May.
    3. Abbas Azadi Moghaddam Arani & Fariborz Jolai & Mohammad Mahdi Nasiri, 2019. "A multi-commodity network flow model for railway capacity optimization in case of line blockage," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 7(4), pages 297-320, October.
    4. Panayotis Christidis & Juan Nicolás Ibanez Rivas, 2012. "Measuring road congestion," JRC Research Reports JRC69961, Joint Research Centre.
    5. Sajjakaj Jomnonkwao & Thanapong Champahom & Vatanavongs Ratanavaraha, 2020. "Methodologies for Determining the Service Quality of the Intercity Rail Service Based on Users’ Perceptions and Expectations in Thailand," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    6. Marinov, Marin & Şahin, İsmail & Ricci, Stefano & Vasic-Franklin, Gordana, 2013. "Railway operations, time-tabling and control," Research in Transportation Economics, Elsevier, vol. 41(1), pages 59-75.
    7. Xuan Li & Toshiyuki Yamamoto & Tao Yan & Lili Lu & Xiaofei Ye, 2020. "First Train Timetabling for Urban Rail Transit Networks with Maximum Passenger Transfer Satisfaction," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    8. Agnes Wanjiku Wangai & Daniel Rohacs & Anita Boros, 2020. "Supporting the Sustainable Development of Railway Transport in Developing Countries," Sustainability, MDPI, vol. 12(9), pages 1-21, April.
    9. Burdett, R.L. & Kozan, E., 2006. "Techniques for absolute capacity determination in railways," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 616-632, September.
    10. Andersson, Mats & Björklund, Gunilla & Haraldsson, Mattias, 2016. "Marginal railway track renewal costs: A survival data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 68-77.
    11. Odolinski, Kristofer & Nilsson, Jan-Eric, 2017. "Estimating the marginal maintenance cost of rail infrastructure usage in Sweden; does more data make a difference?," Economics of Transportation, Elsevier, vol. 10(C), pages 8-17.
    12. Line Blander Reinhardt & David Pisinger & Richard Lusby, 2018. "Railway capacity and expansion analysis using time discretized paths," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 712-739, December.
    13. Zhao, Laijun & Zhao, Yue & Hu, Qingmi & Li, Huiyong & Stoeter, Johan, 2018. "Evaluation of consolidation center cargo capacity and loctions for China railway express," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 58-81.
    14. Praful Potti & Marin Marinov & Edward Sweeney, 2019. "A Simulation Study on the Potential of Moving Urban Freight by a Cross-City Railway Line," Sustainability, MDPI, vol. 11(21), pages 1-19, November.
    15. Yu Shen & Jinhua Zhao, 2017. "Capacity constrained accessibility of high-speed rail," Transportation, Springer, vol. 44(2), pages 395-422, March.
    16. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.
    17. Dolinayová, Anna & Ľoch, Martin & Kanis, Juraj, 2015. "Modelling the influence of wagon technical parameters on variable costs in rail freight transport," Research in Transportation Economics, Elsevier, vol. 54(C), pages 33-40.
    18. 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.
    19. Verhoef, Erik T. & Koh, Andrew & Shepherd, Simon, 2010. "Pricing, capacity and long-run cost functions for first-best and second-best network problems," Transportation Research Part B: Methodological, Elsevier, vol. 44(7), pages 870-885, August.
    20. Bruce Thompson & Bernard Obika, 2020. "Advancing Applied Research in High Volume Transport in Low-Income Countries in Africa and South Asia," Sustainability, MDPI, vol. 12(10), pages 1-6, May.
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    2. Imran Yusoff & Boon-Kwee Ng & Suzana Ariff Azizan, 2021. "Towards sustainable transport policy framework: A rail-based transit system in Klang Valley, Malaysia," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-30, March.
    3. Morteza Noruzi & Ali Naderan & Jabbar Ali Zakeri & Kamran Rahimov, 2023. "A Robust Optimization Model for Multi-Period Railway Network Design Problem Considering Economic Aspects and Environmental Impact," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    4. Piotr FOLĘGA & Maciej IRLIK, 2021. "Effect Of Train Position Reporting On Railway Line Capacity," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(2), pages 59-72, June.

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