A Multi-criteria Assessment Approach for the Evaluation of Railway Transport in the Balkan Region

  • Svetla Dimitrova Stoilova Technical University of Sofia, Faculty of Transport, Bulgaria
Keywords: railway transport, entropy, evaluation

Abstract

The Balkan region has an important geostrategic position in passenger and freight transport between Europe and Asia. This paper studies the development of railway transport on twelve different railway transport markets in the Balkan region. The methodology is based on multi-criteria assessment of the level of railway development. The approach presented in this paper could help railway companies to make decisions about railway transport services. The methodology includes three steps. In the first step, the quantitative and qualitative criteria for the evaluation of the social, economic, infrastructural and technological impact of the level of development of railway transport have been defined. In the second step, the weights of criteria have been determined using both objective and subjective approaches by applying the Shannon Entropy method and the Stepwise Weight Assessment Ratio Analysis (SWARA) method. The third step presents the ranking of the countries by applying three multi-criteria methods – VIse Kriterijumska Optimizacija i kompromisno Resenje (VIKOR), Weighted Aggregated Sum Product Assessment (WASPAS) and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), which are different in their approaches. The results show that the criteria: maximum train technical speed (13%), ERTMS Level (10%), number of train kilometres per year (9%) and Ro-La intermodal service (9%) have a great importance in the ranking. It was found that the most developed railway transports in the Balkan region are Turkey, Croatia, Slovenia, and Romania.

Author Biography

Svetla Dimitrova Stoilova, Technical University of Sofia, Faculty of Transport, Bulgaria

Assoc. Prof. PhD, Technical University of Sofia, Faculty of Transport, Bulgaria

References

Develioğlu K, Kantarci K. Clustering Balkan Countries Based on Competitiveness Factors: A Strategic Perspective. Journal of Economic and Social Studies. 2012;2(2): 237-244.

Tsanana E, Katrakilidis C, Pantelidis P. Balkan Area and EU-15: An Empirical Investigation of Income Convergence. In: Karasavvoglou A, Polychronidou P. (eds.) Balkan and Eastern European Countries in the Midst of the Global Economic Crisis, Contributions to Economics. Berlin Heidelberg: Springer-Verlag; 2012. p. 23-33. Available from: doi:10.1007/978-3-7908-2873-3_2

Papadaskalopoulos A, Karaganis A, Christofakis M. The spatial impact of EU Pan-European transport axes: City clusters formation in the Balkan area and developmental perspectives. Transport Policy. 2005;12: 488-499. Available from: doi:10.1016/j.tranpol.2005.02.009

Begović N, Vukanović S. ERTMS deployment in the Western Balkans. Railway review. 2017;5: Article 70349. Available from: ttps://www.globalrailwayreview.com/article/70349/ertms-western-balkans

Assessment of ITS deployment on TEN-T Core Network in the Western Balkans; 2016. Available from: http://www.seetoint.org/wp-content/uploads/downloads/2017/05/ITS-SEETO-2016.compressed.pdf

Tomić V, Marinković Z, Janošević D. PROMETHEE method implementation with multi-criteria decisions. Facta Universitatis: Mechanical Engineering. 2011;9(2): 193-202.

Develioglu K, Kantarci K. Tourism Performance of Balkan Countries: Travel and Tourism Competitiveness Pillars as Determining Factors. In: Proceedings of 1st International Conference on Economic and Social Studies; 2013. p. 1588-1594.

Despotović D, Filipović M, Ilić V. Infrastructure as a competitiveness factor in the western Balkan countries. Facta Universitatis: Economics and Organization. 2016; 13(1): 1-15.

Duranton S, Audier A, Hazan J, Langhorn M, Gauche V. The 2017 European Railway Performance Index. The Boston Consulting Group; 2017. Available from: http://image-src.bcg.com/Images/BCG-The-2017-European-

Railway-Performance-Index-Apr-2017-2_tcm9-152164.pdf [Accessed 3rd Feb 2019].

Wetzel H. Productivity Growth in European Railways: Technological Progress, Efficiency Change and Scale Effects. Working Paper Series in Economics No. 101, 2008. Available from: http://www.uni-lueneburg.de/fb2/vwl/papers/wp_101_ Upload.pdf [Accessed 3rdFeb 2019].

Arvis JF, Saslavsky D, Ojala L, Shepherd B, Busch C, Raj A, Naula T. Connecting to Compete 2018 Trade Logistics in the Global Economy. Available from: https://lpi.worldbank.org/ [Accessed 3rd Feb 2019].

Mardan A, Zavadskas EK, Govindan K, Senin AA, Jusoh A.VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications. Sustainability. 2016; 8(37). Available from: doi:10.3390/su8010037

Behzadian M, Kazemzadeh RB, Albadvi A, Aghdasi M. PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research. 2010;200(1): 198-215. Available from: doi:10.1016/j.ejor.2009.01.021

Kosijer M, Ivić M, MarkovićM, Belošević I. Multicriteria decision-making in railway route planning and design. Građevinar. 2012;64(3): 195-205.

Atanasković P, Gajić V, Dadić I, Nikoličić S: Selection of Forklift Unit for Warehouse Operation by Applying Multi-Criteria Analysis. Promet – Traffic&Transportation. 2013;25(4): 379-386.

Soner O, Celik E, Akyuz E. Application of AHP and VIKOR methods under interval type 2 16. fuzzy environment in maritime transportation. Ocean Engineering. 2017;129(1): 107-116. Available from: doi:10.1016/j.

oceaneng.2016.11.010

Belošević I, Kosijer M, Ivić M, Pavlović N. Group decision making process for early stage evaluations of infrastructure projects using extended VIKOR method under fuzzy environment. European Transport Research Review. 2018;10-43. Available from: doi:10.1186/s12544-018-0318-4

Stević Z, Pamučar D, Subotić M, Antuchevičiene J, Zavadskas EK. The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator. Sustainability. 2018;10: 2817. Available from: doi:10.3390/su10082817

Chakraborty S, Zavadskas EK, Antucheviciene J. Applications of WASPAS method as a multi-criteria decision-

making tool. Economic Computation and Economic Cybernetics Studies and Research. 2015; 49(1): 5-22. Available from: http://www.ecocyb.ase.ro/nr20151/01%20-%20Shankar%20CHAKRABORTY%20(Zavasdakas)%20(T).pdf

Srinivasa R, Kumar D. Multicriteria Analysis in Engineering and Management. Delhi: PHL Learning Private Limited; 2014.

Kersuliene V, Zavadskas EK, Turskis Z. Selection of rational dispute resolution method by applying new step–wise weight assessment ratio analysis (SWARA), Journal of Business Economics and Management. 2010;11(2): 243-258.

Radović D, Stević Ž. Evaluation and selection of KPI in transport using SWARA method. Transport & Logistics: The International Journal. 2018; 8(44): 60-68.

Vesković S, Stević Z, Stojić G, Vasiljević M, Milinković M. Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision-making: Applications in Management and Engineering. 2018;1(2). Available from: doi:10.31181/dmame1802034v

Myers J, Well A. Research Design and Statistical Analysis. 2nd ed. Lawrence Erlbaum; 2003.

Opricovic S, Tzeng GH. Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research. 2007;178(2): 514-529.

Šaparauskas J, Zavadskas EK, Turskis Z. Selection of facade’s alternatives of commercial and public buildings based on multiple criteria. International Journal of Strategic Property Management. 2011;15(2): 189-203.

Brans JP, Mareschal B. PROMETHEE Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research & Management Science, vol. 78. New York, NY: Springer; 2005. p. 163-186. Available from: doi:10.1007/0-387-23081-5_5

ERTMS Deployment Statistics. Available from: http://www.ertms.net/?page_id=55

Published
2019-12-19
How to Cite
1.
Stoilova SD. A Multi-criteria Assessment Approach for the Evaluation of Railway Transport in the Balkan Region. Promet [Internet]. 2019Dec.19 [cited 2024Apr.24];31(6):655-68. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/3189
Section
Articles