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Vessel emissions are one of the major emissions sources affecting carbon neutralisation achievement in the Greater Bay Area (GBA). The vessel pollution prevention ability is effective in preventing vessels from discharging mass emissions. Thus, it is of great value to figure out the vessel's performance in pollution prevention in this area. This study develops a data-driven Bayesian network model focusing on vessel performance in pollution prevention in port state control (PSC) inspections in the GBA. The Tree Augmented Naïve and Expectation Maximisation approaches are applied to learn structures and parameters based on the inspection records obtained from January 2015 to September 2022. An analysis can identify key variables with significant effects on vessel performance in pollution prevention and clarify the positive influence and contributions of PSC inspections toward carbon neutralisation achievement. Practical implications are provided to foster port authorities and local governments in the GBA to minimize the vessels with poor pollution prevention performance sailing in this area. The study also identifies the characteristics of vessels with poor performance and proposes valuable suggestions to restrict the inattentive actions of ship owners and stimulate ship owners to put more effort into the improvement of pollution prevention ability. Further, the study reveals the significance of executing efficient and reliable PSC inspections in promoting carbon neutralisation progress. • A data-driven BN model to assess pollution prevention of vessels in GBA is built. • The influence of variables on vessel performance in pollution prevention is revealed. • Characteristics of vessels of poor pollution prevention performance are clarified. • Suggestions are provided for local governments to improve vessel quality in GBA. • Contribution of PSC inspections towards carbon neutralisation in GBA is expounded. [ABSTRACT FROM AUTHOR]

Dismantling and recycling of end-of-life vessels in the so-called environmentally friendly manner has been a major challenge faced by ship owners, ship dismantling yard owners as well as government agencies worldwide today. On one-hand, this paper intends to provide the knowledge-base needed by individual yard owners for planning their short term and long term activities. On the other hand it is hoped that this paper will serve as an essential part of the management information system which will help in governance of cluster of ship dismantling yards. The emission factors estimated in this study using field sample survey of 241 ships dismantled during 2011–2013 in the cluster at Alang Port could be put to use while predicting the quantities of wastes generated from dismantling of six types of ships (bulk carrier, general cargo, container, refrigerator and passenger) which further can be used in preparing environmental management plan to handle the same. The % ships and % cumulative LDT of ships in a given category could also be predicted for the cluster using the validated results reported in this study. Finally, on the basis of primary data collected from over 100 yards in Alang Port and with the help of face-to-face interactions with several field personnel; a “typical ship dismantling and recycling procedure” was articulated. It is argued that the in-depth understanding of the prevailing “know-how” alone can help in development and diffusion of cleaner technologies for benefit of this sector and facilitate in instituting the integrated waste management system that will eventually ensure safe and environmentally friendly ship recycling - especially in the context of “Ship Recycling Regulation” recently passed by the European Parliament as well as the draft of “Hong Kong Convention”, being negotiated at the International Maritime Organization. [ABSTRACT FROM AUTHOR]

Abstract: The selection of appropriate vessels to carry out shipping activities is crucial for many maritime stakeholders including charterers, shipowners, brokers, surveyors and safety engineers. The task is essentially a process of multiple criteria decision making (MCDM) under uncertainty requiring analysts to derive rational decisions from ambiguous and incomplete data contained in different quantitative and qualitative forms. Fuzzy Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) have been well documented in the literature and commonly used in the process of group decision-making under fuzzy environment. While showing the attractiveness in dealing with ambiguous estimates, they have been criticised to be incapable of modelling incompleteness encountered in decision analysis. This paper therefore uses the concept of degrees of belief to develop a novel approximate interval TOPSIS approach for overcoming some of the drawbacks of classical fuzzy TOPSIS methods and facilitating the development of reliable vessel selection models under uncertain environment. [Copyright &y& Elsevier]

The closest relationships between ship management companies and shipyards begin with the initial design process of new ships and they continue during the life cycle of operating ships. Periodic docking facilities which can be recognized as the biggest logistical issue in the content of ship maintenance program are the critical processes from the viewpoint of ship owners. Hence, this process should be well-planned and organized to satisfy the various expectations such as quality of service, capacity limitations, and geographical advantages, by taking cost and time constraints into account. Hence, the selection problem with respect to several criteria to find the most suitable shipyards is getting more important for ship management companies. This paper investigates a systematic evaluation model on docking facilities of shipyards to provide a decision aid for technical ship managers and to perform this responsibility in an efficient manner. Multiple criteria fuzzy axiomatic design (FAD) approach is used for selection among shipyards since FAD lets us define the design interval of each criterion. The original contributions of the paper are seemed in both enhancing the theoretical frame of FAD in terms of managing group consensus and performing an application to a real case in maritime industry. [Copyright &y& Elsevier]

Selection of the suitable shipping registry alternative for the existing fleet or new building ships is one of the critical decision milestones of the shipping business. The main aim of this paper is to structure a practical decision support mechanism on ensuring multiple criteria analysis of shipping registry selection. Fuzzy AHP methodology, based on Chang’s extent analysis, is determined to be utilized in order to model the shipping registry selection. After structuring the fundamental hierarchy, the model is performed with a case application on Turkish maritime industry to be able to obtain illustrative results. The shipping registries of Turkiye, Panama, and Malta are determined to evaluate as the potential alternatives for Turkish ship owners. When the literature was examined for the applications of analytical methodologies on maritime business, it was seemed that they were so rare. Therefore, the originality of this study appears on modeling of the critical process under multidisciplinary philosophy in ship management. [Copyright &y& Elsevier]

Dismantling end-of-life ships in substandard conditions has detrimental effects on the environment, labour rights and occupational health. To steer the industry's transition towards adopting more sustainable practices, the European Union has introduced the European Ship Recycling Regulation (SRR), which includes a list of certified shipyards (the European List, EL) that are allowed to recycle EU-flagged fleet. The functionality of the SRR, and especially the adequacy of the recycling capacity included in the European List, has raised doubts among the academic community and practitioners. To increase understanding, this article reviews the recycling demand posed by existing EU-flagged fleet and compares it to the recycling capacity available in the beginning of 2020. State-of-the-art fleet statistics obtained from the Clarkson World Fleet Register are subjected to descriptive statistical analysis, regression analysis and ANOVA. The results show that the current capacity of the EL is not adequate to cover the anticipated recycling demand. This implies that substantial additional capacity located outside the EU is needed. At the current commodity price levels the estimated market potential is not likely to attract enough newcomers that meet the standard to the market. The scrapping prices may decline significantly increasing the cost of replenishment for the shipping business. The article makes a solid policy contribution in terms of evaluating the implications of the SRR and providing valuable insights for the future in a context in which policymaking is constantly evolving. • Current capacity under the European Ship Recycling Regulation is insufficient. • High costs and low revenue potential likely to prevent newcomers from the market. • Scrap values of EU-flagged vessels are likely to decline. • The cost of replenishment for the European ship owners expected to increase. • New policy instruments needed to secure environmentally sound recycling practices. [ABSTRACT FROM AUTHOR]