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An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports

Author

Listed:
  • Vasilev Julian

    (1 University of Economics – Varna, Bulgaria)

  • Sulova Snezhana

    (2 University of Economics – Varna, Bulgaria)

Abstract

Maritime transport helps the development of the economy of countries. Improving the current situation in this type of transport requires the application of modern software tools for assessment, analysis and forecasting.

Suggested Citation

  • Vasilev Julian & Sulova Snezhana, 2023. "An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 402-426, December.
    • Handle: RePEc:vrs:foeste:v:23:y:2023:i:2:p:402-426:n:23
    DOI: 10.2478/foli-2023-0038
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    References listed on IDEAS

    as
    1. Lang Xu & Fengjue Xie & Chuanxu Wang, 2022. "Passive or proactive capacity sharing? A perspective of cooperation and competition between two regional ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 49(4), pages 492-509, May.
    2. Yanka Aleksandrova, 2021. "Predictive analytics implementation in the logistic industry," Economics and computer science, Publishing house "Knowledge and business" Varna, issue 2, pages 6-22.
    3. Svetlana Todorova, 2019. "Statistics for Data Analysis Using Microsoft Excel," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 68-74, August.
    4. Radoica Luburic & Milena Vucinic, 2021. "The Challenges And Opportunities Of Human Resource Management In The Post-Pandemic Era," HR and Technologies, Creative Space Association, issue 1, pages 26-37.
    5. Vanya Lazarova & Daniel Delchev, 2021. "Big Data Analysis Architecture," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 315-328, July.
    6. Balliauw, Matteo & Kort, Peter M. & Zhang, Anming, 2019. "Capacity investment decisions of two competing ports under uncertainty: A strategic real options approach," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 249-264.
    7. Zhang, Mingyang & Zhang, Di & Fu, Shanshan & Kujala, Pentti & Hirdaris, Spyros, 2022. "A predictive analytics method for maritime traffic flow complexity estimation in inland waterways," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    marine traffic; Varna; Constanta; graphical methods; seasonality; trendlines;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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