PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Passenger traffic in Polish seaports in the face of the COVID-19 pandemic

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The outbreak of the COVID-19 pandemic had a profound impact on the global economy and disrupted daily life across many regions of the world. Restrictions imposed at the time, such as the closure of national borders and restrictions on mobility, led to unprecedented challenges for the transportation sector and related tourism services compared with any prior crisis. This disruption also affected maritime passenger transport in Poland. This article aims to assess the impact of the COVID-19 pandemic on passenger traffic in Polish seaports and to develop mathematical models that could support management in the event of future epidemic threats. Three different models are proposed, which showed that the epidemic crisis resulted in a significant decline in passenger traffic at Polish seaports. The most accurate proved to be the SARIMA model. The Holt-Winters model also demonstrated high fitting and predictive performance. In turn, the STL model offered intriguing insights with its time series decomposition, enabling a detailed analysis of individual components. A comparative analysis of the proposed models confirms their usefulness in forecasting passenger traffic in seaports in the face of disruptions such as the COVID-19 pandemic. These models can be an effective decision-support tool, helping to reduce the negative effects of future epidemic threats.
Rocznik
Strony
57--66
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
  • Military University of Technology, Logistics and Management 2B Kaliskiego St., 00-908 Warsaw, Poland
autor
  • Military University of Technology, Logistics and Management 2B Kaliskiego St., 00-908 Warsaw, Poland
Bibliografia
  • 1. Barczak, A. (2023) Maritime passenger transport in Poland – development trends. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Politechniki Morskiej w Szczecinie 76 (148), pp. 42–47, doi: 10.17402/584.
  • 2. Bocheński, T. Palmowski, T. & Studzieniecki, T. (2021) The development of major seaports in the context of national maritime policy. The case study of Poland. Sustainability 13, 12883, doi: 10.3390/su132212883.
  • 3. Borucka, A. & Guzanek, P. (2022) Predicting the seasonality of passengers in railway transport based on time series for proper railway development. Transport Problems 17 (1), pp. 51‒61, doi: 10.20858/ tp.2022.17.1.05.
  • 4. Borucka, A. & Kozłowski, E. (2023) Selected polynomial identification techniques to evaluate maritime transport trends around Covid-19. Scientific Journal of the Silesian University of Technology. Series Transport 120, pp. 51‒68, doi: 10.20858/ sjsutst.2023.120.4.
  • 5. Bouboulas, A. Nikolakopoulos, P. & Anifantis, N. (2022) Prediction of crack depth and position in vibrating beams using artificial neural networks. Diagnostyka 23 (3), 2022307, doi: 10.29354/ diag/154758.
  • 6. Chua, J.Y. Foo, R. Tan, K.H. & Yuen, K.F. (2022) Maritime resilience during the COVID-19 pandemic: impacts and solutions. Continuity & Resilience Review 4 (1), pp. 124‒143, doi: 10.1108/CRR-09-2021-0031.
  • 7. Clemente-Suárez V.J. Navarro-Jiménez E. MorenoLuna L. Saavedra-Serrano M.C. Jimenez M. Simón J.A. & Tornero-Aguilera J.F. (2021) The Impact of the COVID-19 Pandemic on Social, Health, and Economy. Sustainability 13 (11), 6314, doi: 10.3390/su13116314.
  • 8. Cullinane, K. & Haralambides H. (2021) Global trends in maritime and port economics: the COVID-19 pandemic and beyond. Maritime Economics & Logistics 23 (3), pp. 369–380, doi: 10.1057/s41278-021-00196-5.
  • 9. Dagum, E.B. & Luati, A. (2002) Global and local statistical properties of fixed-length nonparametric smoothers. Journal of the Italian Statistical Society 11 (3), pp. 313‒333, doi: 10.1007/BF02509830.
  • 10. Gračan, D. Jugović, A. Aksentijević, D. Gračan, L. & Sotošek, M. B. (2022) Analysis and trends of maritime passenger traffic in European Union. 88th International Scientific Conference on Economic and Social Development – Roadmap to NetZero Economies and Businesses Conference, Dubai, pp. 200–213.
  • 11. Grzelakowski , A.S. (2022) The Covid 19 pandemic – challenges for maritime transport and global logistics supply chains. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation 16 (1), pp. 71–77, doi: 10.12716/1001.16.01.07.
  • 12. Koehler, A.B. Snyder, R.D. & Ord J.K. (2001) Forecasting models and prediction intervals for the multiplicative Holt – Winters method. International Journal of Forecasting 17 (2), pp. 269–286, doi: 10.1016/S0169-2070(01)00081-4.
  • 13. Kozłowski, E. Borucka, A. Oleszczuk, P. & Jałowiec, T. (2023) Evaluation of the maintenance system readiness using the semi-Markov model taking into account hidden factors. Eksploatacja i Niezawodność – Maintenance and Reliability 25(4), 172857, doi: 10.17531/ein/172857.
  • 14. Liu, K. Zou, T. & Xin, M. (2024) Comparative Analysis of Stochastic and Uncertain Process Degradation Modeling Based on RQRL. Eksploatacja i Niezawodność – Maintenance and Reliability 26(3), 186823, doi: 10.17531/ ein/186823.
  • 15. Oszczypała, M. Ziółkowski, J. & Małachowski, J. (2023) Semi-Markov approach for reliability modelling of light utility vehicles. Eksploatacja i Niezawodność – Maintenance and Reliability 25 (2), 161859, doi: 10.17531/ ein/161859.
  • 16. R Core Team (2024) R: A Language and Environment for Statistical Computing. [Online]. Available from: www.rproject.org [Accessed: July 25, 2024].
  • 17. Riaz M. Sial, M.H. Sharif, S. & Mehmood Q. (2023) Epidemiological Forecasting Models Using ARIMA, SARIMA, and Holt–Winter Multiplicative Approach for Pakistan. Journal of Environmental and Public Health 2023 (1), 8907610, doi: 10.1155/2023/8907610.
  • 18. Ribeiro, R.C.M. Marques, G.T. dos Santos Júnior, P.C. de Almeida, J.F.S. da Silva Campos, P.S. & Chase, O.A. (2019) Holt-Winters Forecasting for Brazilian Natural Gas Production. International Journal for Innovation Education and Research 7 (6), pp. 119–129, doi: 10.31686/ijier.vol7. iss6.1559.
  • 19. Rodrigues, J.A. Farinha, J.T. Mendes, M. Mateus, R. & Cardoso, A.M. (2022) Short and long forecast to implement predictive maintenance in a pulp industry. Eksploatacja i Niezawodność – Maintenance and Reliability 24 (1), pp. 33–41, doi: 10.17531/ein.2022.1.5.
  • 20. Saigal, S. & Mehrotra, D. (2012) Performance Comparison of Time Series Data Using Predictive Data Mining Techniques. Advances in Information Mining 4, pp. 57–66.
  • 21. Sobczuk, S. (2024) Transport in the tourist services sector in Poland during the crisis caused by the COVID-19 pandemic. WUT Journal of Transportation Engineering 138 (1), pp. 5–18, doi: 10.5604/01.3001.0054.5151.
  • 22. Urbanyi-Popiolek, I. (2020) Maritime tourism in the time of Covid-19 pandemic in the Baltic Sea region – challenges for ferry and cruise operators. 63rd International Scientific Conference on Economic and Social Development – Building Resilient Society, Zagreb, pp. 397–405.
  • 23. van Tatenhove, J.P.M. (2021) COVID-19 and European maritime futures: different pathways to deal with the pandemic. Maritime Studies 20, pp. 63–74, doi: 10.1007/ s40152-021-00216-3.
  • 24. Wang, X. (2019) The Short-Term Passenger Flow Forecasting of Urban Rail Transit Based on Holt-Winters’ Seasonal Method. 4th International Conference on Electromechanical Control Technology and Transportation, China, pp. 265– 268, doi: 10.1109/ICECTT.2019.00067.
  • 25. Węcel, K. Stróżyna, M. Szmydt, M. & Abramowicz, W. (2024) The Impact of Crises on Maritime Traffic: A Case Study of the COVID-19 Pandemic and the War in Ukraine. Networks and Spatial Economics 24, pp. 199–230, doi: 10.1007/s11067-023-09612-0.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3a0d6dff-be43-4006-9f09-4da6ce4942d6
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.