IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v52y2025i6p837-863.html
   My bibliography  Save this article

How should mode competitiveness and profit be balanced in maritime transport? – Vessel speed optimization approach including Northern Sea Route

Author

Listed:
  • Wenyi Ding
  • Ryuichi Shibasaki
  • Chathumi Ayanthi Kavirathna

Abstract

Transport between East Asia and Europe heavily relies on maritime transport via the Suez Canal route (SCR), with the Northern Sea Route (NSR) through the Arctic Sea emerging as a new route due to the continuously melting polar ice. However, the dominance of maritime transport faces a threat from railways and airlines, especially for high-sensitivity commodities. This study mainly maximizes the profit of a shipping company from both NSR and SCR services with vessel speed optimization, focusing on the competition between four alternatives quantified by a logit model. The sensitivity analysis is also conducted with expanding ice-classed vessels and fluctuating bunker prices. Our findings show that maintaining a speed of approximately 20kn can capture an additional 10% of the market share for SCR; however, SCR faces challenges if future advancements enable more frequent and cost-effective railway transport. Moreover, besides expanding ice-classed vessel size, tackling the problem of limited capacity may position NSR as a promising competitor. This study contributes to providing an effective and innovative speed-optimization scheme combining economic viabilities and mode choice. It is aimed to (1) provide feasible political insights regarding mode competitions and (2) promote the commercial economic use of various modes, including NSR.

Suggested Citation

  • Wenyi Ding & Ryuichi Shibasaki & Chathumi Ayanthi Kavirathna, 2025. "How should mode competitiveness and profit be balanced in maritime transport? – Vessel speed optimization approach including Northern Sea Route," Maritime Policy & Management, Taylor & Francis Journals, vol. 52(6), pages 837-863, August.
  • Handle: RePEc:taf:marpmg:v:52:y:2025:i:6:p:837-863
    DOI: 10.1080/03088839.2024.2417823
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088839.2024.2417823
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03088839.2024.2417823?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    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:taf:marpmg:v:52:y:2025:i:6:p:837-863. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    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.