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Risk Assessment in Maritime Transportation
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Risk Assessment in Maritime Transportation

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 1 August 2024 | Viewed by 1190

Special Issue Editors

Dr. Jingbo Yin

E-Mail Website
Guest Editor
State Key Laboratory of Ocean Engineering, Department of Transportation Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: maritime risk assessment; shipping economics; supply chain management; econometrics
Special Issues, Collections and Topics in MDPI journals
Dr. Wenming (Wendy) Shi

E-Mail Website
Guest Editor
Centre for Maritime and Logistics Management, Australian Maritime College, University of Tasmania, 100 Maritime Way, Newnham, TAS 7248, Australia
Interests: maritime logistics and supply chains; maritime risk management; port management

Special Issue Information

Dear Colleagues,

Despite a decrease in the number of accidents in marine transportation, the potential economic loss, property damage, casualties, and environmental pollution caused by maritime accidents continue to garner global attention in recent years. As a result, there is an increased interest in risk assessment and safety analysis in maritime transport. Simultaneously, with advancements in big data and artificial intelligence technologies, risk assessment and safety analysis techniques continue to evolve. Further exploration is required in employing interdisciplinary methods, multi-source data, and advanced theories to effectively and meaningfully quantify, predict, and mitigate risks in the field of marine transportation. Therefore, this Special Issue focuses on several carefully selected contemporary issues in the risk assessment and safety analysis of marine transport. The objective is to rapidly disseminate the latest research and knowledge in this important area.

The scope of this Special Issue includes (but is not limited to) the following topics:

  • Qualitative and quantitative risk assessment of marine transport;
  • Risk management related to accident prevention and mitigation;
  • Maritime accident analysis and assessment;
  • Safety and resilience management with respect to maritime accidents;
  • Artificial intelligence applications for the risk assessment of marine transport;
  • Big data analytics for safety analyses of marine transport;
  • Risk-based modeling in maritime transportation.

Dr. Jingbo Yin
Dr. Wenming (Wendy) Shi
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

  • marine transport
  • maritime management
  • maritime safety
  • risk assessment
  • artificial intelligence applications
  • big data analytics

Published Papers (2 papers)

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Research

16 pages, 620 KiB  
Article
Method in Selecting Vehicles for Interventions and Surveillance of Navigation Safety at Sea
by Luka Vukić, Joško Vidov and Ivan Karin
J. Mar. Sci. Eng. 2024, 12(6), 979; https://doi.org/10.3390/jmse12060979 - 11 Jun 2024
Viewed by 145
Abstract
Selecting a vehicle to monitor navigational safety is an important goal, especially in search and rescue operations. It depends on the criteria set and the type of equipment in use. The study aimed to select the optimal vehicle according to the optimal criterion. [...] Read more.
Selecting a vehicle to monitor navigational safety is an important goal, especially in search and rescue operations. It depends on the criteria set and the type of equipment in use. The study aimed to select the optimal vehicle according to the optimal criterion. In the decision-making, the AHP method was used to analyze and rank the selection criteria and vehicle types. As the most important criterion, the results point to reliability in different weather conditions and the SAR vessel as the first choice for interventions and monitoring navigational safety in Croatia. In the selection process, the AHP methodology pointed directly to the significant inconsistency of the expert group and indirectly to the need for more careful selection of members, additional training, and a broader selection of criteria and equipment. Full article
(This article belongs to the Special Issue Risk Assessment in Maritime Transportation)
19 pages, 3324 KiB  
Article
Risk Coupling Assessment of Vehicle Scheduling for Shipyard in a Complicated Road Environment
by Ningfei Wang, Jingbo Yin and Rafi Ullah Khan
J. Mar. Sci. Eng. 2024, 12(4), 685; https://doi.org/10.3390/jmse12040685 - 22 Apr 2024
Viewed by 602
Abstract
Vehicle scheduling at shipyards can involve delays due to numerous risk factors encountered in the complicated shipyard road environment. This paper studies the problems of risk coupling in shipyard vehicle scheduling based on the risk matrix approach, considering the complicated road environment, assessing [...] Read more.
Vehicle scheduling at shipyards can involve delays due to numerous risk factors encountered in the complicated shipyard road environment. This paper studies the problems of risk coupling in shipyard vehicle scheduling based on the risk matrix approach, considering the complicated road environment, assessing the degrees of coupling and disorder. Based on safety-engineering theory and comprehensive analysis of the road environment, four key criteria are identified, vehicles, the road environment, the working environment, and humans, including 12 factors and their specific contents. The degree of coupling between various combinations of risk criteria is quantitatively determined utilizing the N-K model. Additionally, the degree of disorder in the risk criteria is assessed based on information entropy theory. The model’s correction coefficients are determined through comparative analysis of experimental data. By integrating the degree of coupling and disorder, delays caused by different combinations of risk criteria in scheduling tasks are computed. The quantitative evaluation model enables accurate appraisal of risk events during shipyard vehicle scheduling. The model provides a valuable managerial tool to analyze delays caused when specific risk criteria are met and to compare these delays to the potential impact on time resulting from adjusting vehicle scheduling plans. This research has significant implications for enhancing vehicle distribution efficiency in shipyards. Full article
(This article belongs to the Special Issue Risk Assessment in Maritime Transportation)
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