IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i3-part1p208-228.html
   My bibliography  Save this article

Forecasting the Cargo Throughput for Small and Medium-sized Ports: Multi-stage Approach with Reference to the Multi-port System

Author

Listed:
  • Dariusz Bernacki
  • Christian Lis

Abstract

Purpose: The paper aims to elaborate on long-term throughput forecasts in Small and Medium-Sized ports (SMPs). The research problem relates to determining a method that is relevant for the long-term transhipment forecasting in SMPs. Design/Methodology/Approach: Research was applied to the Polish ports system consisting of three major ports (Gdańsk, Gdynia, and Świnoujście) and the minor port of Szczecin. Forecasts for the cargo groups in the major ports were produced using regression models where the model parameters were estimated with the Ordinary Least Squares Method. The obtained forecasts of the throughput of cargo groups in major Polish seaports were converted into dynamics indices. The resulting matrices of the cargo throughput dynamics indices established for the leading Polish seaports were used to prepare cargo throughput forecasts for the port of Szczecin. Findings: Elaborated throughput forecasts indicate that, in the future, the port in Szczecin will retain its universal character, and a moderate increase in the cargo volumes confirms that it will serve as a complementary port to the major ports in the range. The forecasted modal split of hinterland transport indicates the increasing importance of road transport, and a decreased rail and inland waterway transport to/from the hinterland. That is likely due to a lower cargo throughput and difficulties in organizing the rail and inland waterway corridors based on smaller freight volumes. Practical implications: The study provides a practical tool for long-term throughput and hinterland traffic forecasting in SMPs. It is addressed to port authorities as the method may be used in decision-making on capacity expansion and academics exploring the phenomenon of predictions in maritime transport. Originality/Values: The novel method of demand forecasting in SMPs includes relations between major and minor ports in the range and multi-staged validation of results. Research advances studies on the dynamics of multi-port systems.

Suggested Citation

  • Dariusz Bernacki & Christian Lis, 2021. "Forecasting the Cargo Throughput for Small and Medium-sized Ports: Multi-stage Approach with Reference to the Multi-port System," European Research Studies Journal, European Research Studies Journal, vol. 0(3 - Part ), pages 208-228.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:3-part1:p:208-228
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2350/download
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Forecast; throughput; minor seaports; multi-port system.;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:3-part1:p:208-228. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.