Comparison of railway performance in the European Union based on DEA analysis during covid crisis

• Autorzy: Sternad Marjan , Grofelnik Igor

Identyfikatory

DOI

10.20858/tp.2023.18.4.16

• Języki publikacji: EN

Abstrakty

EN

The efficiency of transportation systems has decreased due to restrictions to contain the spread of COVID-19. The purpose of the research was to analyze the efficiency of railways in connection with the impact of COVID-19 on rail transport itself. Thus, using data envelopment analysis we determined how the measures during the pandemic affected the efficiency of passenger and freight transport. The efficiency of the railway system was evaluated using a linear programming technique that measures the effectiveness of homogeneous decision-making units. The model’s input variables consisted of technical attributes of railway tracks, while the output variables encompassed train operations, the conveyance of goods, and passenger transport. The results show the differences in railway efficiency between EU countries during the COVID-19 crisis. Our findings indicate that the COVID-19 crisis had a more substantial effect on the effectiveness of services than its impact on technical aspects. The results show the differences in railway efficiency between countries during the COVID-19 crisis. In the research, we found that the COVID-19 crisis had a negative impact on service effectiveness, as it decreased by more than 3%, while technical efficiency increased during the analyzed period, mainly at the expense of a lower number of train movements when transport equipment was not maintained. The differences between countries indicate the slow adoption of the necessary measures to mitigate the consequences of the COVID-19 crisis and the need for coordinated and flexible action by rail transport policymakers.

Słowa kluczowe

EN

railway performance; DEA analysis; COVID-19; technical efficiency; service effectiveness

PL

wydajność transportu kolejowego; analiza DEA; COVID-19; efektywność techniczna; efektywność usług

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2023
• Tom: T. 18, z. 4
• Strony: 201--210
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Sternad Marjan

• University of Maribor, Faculty of Logistics; Mariborska cesta 7, SI 3000 Celje, Slovenia

• https://orcid.org/0000-0002-2891-3149

autor

Grofelnik Igor

• University of Maribor, Faculty of Logistics; Mariborska cesta 7, SI 3000 Celje, Slovenia

• https://orcid.org/0000-0002-2369-6501

Bibliografia

• 1. Loxton, M. & Truskett, R. & Scarf, B. & Sindone, L. & Baldry, G. & Zhao, Y. Consumer behaviour during crises: preliminary research on how coronavirus has manifested consumer panic buying, herd mentality, changing discretionary spending and the role of the media in influencing behaviour. Journal of Risk and Financial Management. 2002. Vol. 13. No. 8. P. 1-8.
• 2. Bhatti, A. & Akram, H. & Basit, M.H. & Khan, A.U. & Naqvi, S.M. & Bilal, M. E-Commerce trends during COVID-19 pandemic. International Journal of Future Generation Communication and Networking. 2020. Vol. 13. No. 2. P. 1449-1452.
• 3. Tardivo, A. & Zanuy, A.C. & Martin, C.S. COVID-19 Impact on Transport: A paper from the railways systems research perspective. Transport research record. Journal of the Transportation Research Board. 2021. Vol. 2675. No. 5. P. 367-378.
• 4. European Commission Directorate-General for Mobility and Transport. Transport in the European Union, Current Trends and Issues. Bruseles: European Commission Directorate, 2019.
• 5. Gili, A. & Belladonna, A. Coronavirus e Shipping: corsa ai ripari per la tempesta perfetta. Milano: ISPI, 2020.
• 6. Vickeman, R. Will Covid-19 put the public back in public transport? A UK perspective. Transport Policy. 2021. Vol. 16. P. 95-102.
• 7. Tirachini, A. & Cats, O. COVID and public transportation: current assessment, prospects and research need. Journal of Public Transportation. 2020. Vol. 22. No. 1. P. 1-21.
• 8. Marra, A.D. & Sun, L. & Corman F. The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area. Transport Policy. 2022. Vol. 116. P. 258-268.
• 9. Eurostat. Impact of the COVID-19 pandemic on rail passenger transport in Q4 2020. Available at: https://ec.europa.eu/eurostat/web/products-eurostat-news/-/ddn-20210518-1.
• 10. IRG. Impacts of the COVID-19 crisis and national responses on European railway markets in 2020. 2021.
• 11. Markovits-Somogyi, R. Measuring efficiency in transport: the state of the art of applying data envelopment analysis. Transport. 2011. Vol. 26. No. 1. P. 11-19.
• 12. Holvad, T. Efficiency analyses for the railway sector: An overview of key issues. Research in Transportation Economics. 2020. Vol. 82. No. 100877.
• 13. Stevič, Ž. & Miškič, S. & Vojinovič, D. & Huskanovič, E. & Stankovič, M. & Pamučar, D. Development of a model for evaluating the efficiency of transport companies: PCA - DEA - MCDM Model. Axioms. 2022. Vol. 11. No. 3.
• 14. Petrović, M. & Pejčić-Tarle, S. & Vujičić, M. & Bojković, N.A DEA based approach for cross-country evaluation of rail freight transport: Possibilities and limitations. In: International scientific and technical conference on transport, Scientific-technical union of mechanical engineering. Varna Bulgaria. 2012. P. 156-160.
• 15. Ghanem, O. & Xuemei, L. & Alam, K.M. An efficiency analysis of Turkish railways using data envelopment analysis: comparison study. International Journal of Technology, Policy and Management. 2020. Vol. 20. No. 1. P. 21-34.
• 16. Lan, L.W. & Lin, E.T.J. Technical efficiency and service effectiveness for railways industry: DEA approaches. Journal of the Eastern Asia Society for Transportation Studies. 2003. Vol. 5. P. 2932-2947.
• 17. Lan, L.W. & Lin, E.T.J. Performance measurement for railway transport: stochastic distance functions with inefficiency and ineffectiveness effects. Journal of Economics and Policy. 2006. Vol. 40. No. 3. P. 383-408.
• 18. Charnes, A. & Cooper, W. & Lewin, A.Y. & Seiford, L.M. Data Envelopment Analysis. 1st Edition, Springer. New York, 1994.
• 19. Eurostat. Available at: https://ec.europa.eu/eurostat/data/database.
• 20. Wang, T. & Leung, R. & Woo, L. & Lee A. 2021 Risk Radar: Transport and Logistics sector, KPMG China’s Transport and Logistics practice. 2021.
• 21. Loske, D. The impact of COVID-19 on transport volume and freight capacity dynamics: An empirical analysis in German food retail logistics. Transportation Research Interdisciplinary Perspectives. 2020. Vol. 6. No. 2020.
• 22. Zhang, R. & Li, L. & Jian, W. Reliability analysis on railway transport chain. International Journal of Transportation Science and Technology. 2022. Vol. 8. No. 2. P. 192-201.
• 23. Perkumiene, D. & Osamede, A. & Andriukaitiene, R. & Beriozovas, O. The impact of COVID-19 on the transportation and logistics industry. Problems and Perspectives in Management. 2021. Vol. 19. No. 4. P. 458-469.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).