Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The article investigates a possibility of using the traditional multi-criteria assessment methods to evaluate how significance of a railway line is distributed for the countries it crosses. The article analyses two examples of railway lines: the railway line Rail Baltica (Poland, Lithuania, Latvia and Estonia) and the container train Viking route (Lithuania, Belarus and Ukraine). When investigating for which countries the Rail Baltica project will have bigger significance, and for which smaller, indicators of the countries are analysed by the length of Rail Baltica in the country, length falling per million residents in the country, length falling per thousand km of the existing railway, length per area of the county and length falling per country’s gross domestic product (GDP). To generalize them, multi-criteria optimization methods, such the geometric mean method, were used. To answer the question whether the methodology used is adequate, it was tested using the example of the already operating container train Viking. The results of calculations for the previously mentioned criteria are combined with the actual distribution of the freight turnover. A positive conclusion is made about the adequacy of the methodology to assessment of the importance of the railway line for the country.
Czasopismo
Rocznik
Tom
Strony
49--58
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
- Vilnius Gediminas Technical University Department of Railway Transport J. Basanavičius str. 28, LT-03224 Vilnius, Lithuania
Bibliografia
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- 2. Vaičiūnas, G & Sinkevičius, G. Research on the influence of the extension of Rail Baltica to Hamburg on the railway line for the region of Eastern Europe. In: Proceedings of International Conference "Transport Means”. Kaunas: Kaunas University of Technology. 2016. P. 705-713.
- 3. Linlin, G. & Xiaojing, L. & Hsing-chung, C. & Hayman, A.N. & Zhang, K. & Zhe, H. Impact of ground subsidence on the Beijing–Tianjin highspeed railway as mapped by radar interferometry. Annals of GIS. 2010. Vol. 16(2). P. 91-102.
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- 6. Pipinato, A. & Pellegrino, C. & Modena, C. Assessment procedure and rehabilitation criteria for the riveted railway Adige Bridge. Structure and Infrastructure Engineering. 2012. Vol. 8(8). P. 747-764.
- 7. Jiyeol, I. & Kyungik, G. Characteristics of non-point source pollutants on railway bridges. Desalination and Water Treatment. 2016. Vol. 57(2). P. 684-693.
- 8. Jiyeol, I. & Kookhwan, C. & Kyungik, G. Determination of the first-flush criteria from railway bridge area. Desalination and Water Treatment. 2016. Vol. 57(2). P. 694-708.
- 9. Guler, H. Prediction of railway track geometry deterioration using artificial neural networks: a case study for Turkish state railways. Structure and Infrastructure Engineering. 2014. Vol. 10(5). P. 614-626.
- 10. Prestel, J.B. Hierarchies of happiness: Railway infrastructure and suburban subject formation in Berlin and Cairo around 1900. City. 2015. Vol. 19(2-3). P. 322-331.
- 11. Beck, A & Bente, H. Railway Efficiency: An Overview and a Look at Opportunities for Improvement. Civity Management Consultants GmbH & Co., Hamburg, Germany. 2013. 44 p.
- 12. Havenga, J.H. & Simpson, Z.P & de Bod, A. South Africa’s freight rail reform: A demand-driven perspective. Journal of Transport and Supply Chain Management. University of Johannesburg. 2014. Vol 8. No. 1. 7 p.
- 13. Bhatti, J.A. & Razzak, J.A. Railway associated injuries in Pakistan. International Journal of Injury Control and Safety Promotion. 2010. Vol. 17(1). P. 41-44.
- 14. McNulty, R. Realising the Potential of GB Rail. Report of the Rail Value for Money Study, Crown Copyright, London. 2011. 77 p.
- 15. Bureika, G. & Steišūnas, S. Complex evaluation of electric rail transport implementation in Vilnius city. In: Proceedings of International Conference "Transport Problems”. Katowice: Silesian university of technology. 2015. P. 47-55.
- 16. Podvezko, V. & Podviezko, A. Dependence of multi-criteria evaluation result on choice of preference functions and their parameters. Tech. Econ. Devel. Econ. 2010. Vol. 16. P. 143-158.
- 17. Podvezko, V. & Sivilevicius, H. The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety. Transport. 2013. Vol. 28. No. 4. P. 389-403.
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9c4e73a5-aba9-43eb-833b-289b2ea0b472