IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i4-part1p127-146.html
   My bibliography  Save this article

The Collision Risk Management Method for Ships Navigating on Coastal Waters Based on Ship Domain and Near-Miss Concept

Author

Listed:
  • Krzysztof Marcjan
  • Lucjan Gucma
  • Kotkowska Diana

Abstract

Purpose: The purpose of the paper is to present an innovative method of identification of navigational near-misses on the basis of a probabilistic domain, which can be used to assess the safety of navigation and to discover places potentially dangerous for navigation. Design/Methodology/Approach: Probabilistic domain construction based on a large amount of AIS data in a selected navigational area. Findings: In order to build and develop methods to assess the safety of navigation, ship probabilistic domains for three types of vessel encounter situations have been determined based on the AIS traffic monitoring data. Domains have been constructed for vessels moving in open waters with high traffic density in the Southern Baltic Sea. Practical Implications: One of the most important concepts concerning the safety of navigation at sea is the ship domain. The authors believe that data from vessel monitoring systems can be used to determine the limits of distances between passing vessels that are characteristic of specific water areas and fully take into account all factors influencing navigational decisions. Originality/Value: The novelty presented in the article is the method of navigational near-misses identification based on the probabilistic ship domain, which is universal for all vessels in a selected area.

Suggested Citation

  • Krzysztof Marcjan & Lucjan Gucma & Kotkowska Diana, 2021. "The Collision Risk Management Method for Ships Navigating on Coastal Waters Based on Ship Domain and Near-Miss Concept," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 127-146.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4-part1:p:127-146
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2567/download
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Ship collision; navigational risk management; ship domain; AIS data analysis; near-miss of collision.;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - 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:4-part1:p:127-146. 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.