Development and research directions in ship recycling: A systematic literature review with bibliometric analysis.

Ship recycling has gained significant importance in recent years due to the growing awareness of environmental concerns and the need for sustainable practices within the maritime industry. As vessels reach the end of their operational life, proper recycling methods are crucial to mitigate environmental impacts and promote resource conservation. With an increasing number of ships being decommissioned annually, there has been a growing interest and emphasis on developing efficient and eco-friendly ship recycling practices worldwide. This article presents a systematic literature review and bibliometric analysis of 228 studies on ship recycling indexed in Scopus. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology for its robustness in comprehensive literature analysis, this review uncovers key insights into prominent countries, authors, journals, collaborations, topics, and historical trends in ship recycling research, thereby extending the scope of previous reviews. Notably, major contributions from Turkey, India, Bangladesh, the USA, and China focus on environmental impact studies, reflecting urgent global sustainability concerns. The review discusses commonly adopted methodologies such as Life Cycle Assessment and Elemental Analysis, shedding light on their application in this field. Through thematic analysis across 8 categories, future research pathways are identified, highlighting crucial areas such as continuous environmental monitoring, innovative renewable energy extraction from end-of-life vessels, and the need for human factors in ship recycling. This comprehensive synthesis of existing knowledge and identification of emergent research needs and opportunities serve as a foundational resource for impactful future research and informed policymaking, particularly in aligning with global environmental and sustainability goals. Researchers, policymakers and other stakeholders in maritime safety and environmental sustainability may find the knowledge gained from this systematic literature review insightful.

Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators' Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator.

The current industrial environment relies heavily on maritime transportation. Despite the continuous technological advances for the development of innovative safety software and hardware systems, there is a consistent gap in the scientific literature regarding the objective evaluation of the performance of maritime operators. The human factor is profoundly affected by changes in human performance or psychological state. The difficulty lies in the fact that the technology, tools, and protocols for investigating human performance are not fully mature or suitable for experimental investigation. The present research aims to integrate these two concepts by (i) objectively characterizing the psychological state of mariners, i.e., mental workload, stress, and attention, through their electroencephalographic (EEG) signal analysis, and (ii) validating an innovative safety framework countermeasure, defined as Human Risk-Informed Design (HURID), through the aforementioned neurophysiological approach. The proposed study involved 26 mariners within a high-fidelity bridge simulator while encountering collision risk in congested waters with and without the HURID. Subjective, behavioral, and neurophysiological data, i.e., EEG, were collected throughout the experimental activities. The results showed that the participants experienced a statistically significant higher mental workload and stress while performing the maritime activities without the HURID, while their attention level was statistically lower compared to the condition in which they performed the experiments with the HURID (all p < 0.05). Therefore, the presented study confirmed the effectiveness of the HURID during maritime operations in critical scenarios and led the way to extend the neurophysiological evaluation of the HFs of maritime operators during the performance of critical and/or standard shipboard tasks.

Dataset for estimating occurrence probability of causations for plugged, abandoned and decommissioned oil and gas wells.

This article contains the dataset on the failure frequencies of the barrier and mechanical plugs in place within the hydrocarbon-containing wellbore during plugging and abandonment operation. The interpretation and application of this data can be found in the research article ("https://doi.org/10.1016/j.psep.2019.09.015" Babaleye et al., 2019). These datasets were collected through a comprehensive hazard identification technique workshop involving 10 engineers and academics with considerable years of field experience. The data were collected based on how likely it is for each causation to occur and these likelihoods are ranked from 1 to 10. The process is experience-driven and is complemented by a 1-10 rating of the duration of leak of hydrocarbon before remediation, should the leak reach the mudline. The ranked data was a representative of raw failure data (failure rate or mean time to failure (MTTF)) for each causation and are coded in MATLAB using gamma distribution based on hierarchical Bayesian analysis. The dataset offers unique opportunity for reuse due to its accessibility and discreteness.

Marine accident learning with fuzzy cognitive maps (MALFCMs).

Statistical analysis of past accidents in maritime may demonstrate the trends for certain contributing factors in accidents, however, there is a lack of a suitable technique to model the complex interrelations between these factors. Due to aforementioned complex interrelations and insufficient information stored in accident databases, it was not possible to understand the importance of each factor in accidents, which prevented researchers from considering these factors in risk assessments. Therefore, there is a need for a capable technique to estimate the importance of each factor. The results of such a technique can be used to inform risk assessments and predict the effectiveness of risk control options. Thus, this study introduces a new technique for Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs). The novelty of MALFCM is the application of fuzzy cognitive maps (FCMs) to model the relationships of maritime accident contributors by directly learning from an accident database as well as having the ability to combine expert opinion. As each fuzzy cognitive map is derived from real occurrences supported by expert opinion, the results can be considered more objective. Thus, MALFCM may overcome the main disadvantage of fuzzy cognitive maps by eliminating or controlling the subjectivity in results.•A novel MALFCM method to weight human-contributing factors into maritime accidents has been developed.•With MALFCM method the main disadvantage of traditional FCMs is overcome.•The MALFCM method can produce logical results even by solely using information from historical data in the absence of expert judgement.