Maritime Transportation Safety and Risk Management
A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".
Deadline for manuscript submissions: 5 December 2025 | Viewed by 23
Special Issue Editors
Interests: maritime human factors; risk-informed decision analysis under uncertainty; AI integration in maritime safety and risk management; ship and offshore structures; fatigue; FEM/FEA
Interests: numerical modelling of systems and human behaviour; maritime safety; human factors; maritime and arctic evacuation, survival, search and rescue; lifeboat and liferaft performance; personal locator beacons
Special Issue Information
Dear Colleagues,
The maritime industry is a highly regulated sector and serves as a cornerstone of global trade and logistics. The safety of ocean-going vessels, whether to fish, carry passengers or cargo, is of paramount importance to both owners and state regulatory actors. However, with the increase in marine traffic flow and advances in artificial intelligence (AI) technology, the field of maritime transportation safety and risk assessment is confronted with both significant opportunities and complex challenges.
The aim of this Special Issue, “Maritime Transportation Safety and Risk Management”, is to provide a common platform for academia and industry to engage in discussions by publishing high-quality original research papers, including, but not limited to, the following topics:
- Systematic, critical and bibliometric review in maritime safety and risk;
- Maritime transportation safety incidents, accidents, occurrences trends;
- Assessing the human error contribution to maritime occurrences using Bayesian networks;
- Risk-informed decision-making under uncertainty in the maritime domain;
- Advances in maritime and arctic safety and survival;
- Integration of AI-based decision support tools for maritime survival and emergency response;
- Artificial intelligence integration in maritime transportation safety;
- Maritime transportation accident learning systems: towards an AI-powered safety culture;
- Arctic maritime risk modelling under climate change scenarios;
- Cyber risk assessment framework for autonomous and digitized vessels;
- Quantifying organizational and cultural factors in maritime risk tolerance;
- Data-driven predictive models for maritime risk assessment.
Dr. Francis Obeng
Dr. Rob Brown
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- maritime safety
- risk management
- artificial intelligence (AI)
- predictive models
- human error analysis
- Bayesian networks
- accident prevention
- risk-based decision-making
- emergency response
- operational safety
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