Human error in marine accidents: Is the crew normally to blame?

Sánchez-Beaskoetxea, J.; Basterretxea-Iribar, Imanol; Sotés, Iranzu; Maruri, Mercedes

doi:10.1016/j.martra.2021.100016

Cited by 43 publications

(29 citation statements)

References 25 publications

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“…Rather, the analysis of the keywords suggests that it was studied along with more technical or general issues. Even though humans are often blamed for causing accidents [70], [71], research on their actual performance is rather scarce [72]. Meanwhile, outside the maritime domain, SA was more often studied in relation to issues concerning the human operator, such as human-computer interaction, situation prediction, and scene perception [73], [74], see Tables II & III.…”

Section: Research Gaps In Maritime Domainmentioning

confidence: 99%

A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

Bogusllwski

Nasur

et al. 2022

IEEE Access

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Highly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situational awareness. The present study investigates the worldwide research effort focusing on situational awareness for autonomous transport and explores how the maritime domain could benefit from it. The results indicate that most of the research originates from the automotive, but the topic is developing fast in other transportation modes too. Some findings have been shared across the modes of transportation, but only to a limited extent. Although technology development is performed based on the achievements within basic research domains, there has been little feedback from applied sciences. Similarly, collaborative research is not strongly developed.

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Section: Research Gaps In Maritime Domainmentioning

confidence: 99%

A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

Bogusllwski

Nasur

et al. 2022

IEEE Access

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“…Still, this can give a good idea of how proper communication and active listening have a major role in any aspect of message transmission. That is why it is important for managers to constantly improve communication and encourage others in their organization to do the same -the organization can be presented as successful with high-quality staff on the market [16].…”

Section: Communication As An Activity For Managersmentioning

confidence: 99%

Communication in the Management Process - Productive Communication

Kraljević

Russo

2022

JMTS

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Communication as a process of information sharing is a key segment of all management functions. Insufficient or poor-quality information sharing suggests unproductive communication. Globalization and development of modern, sophisticated technologies allow management to adapt and create productive work communication. Considering the statements above, in this paper, the emphasis will be on showing aspects of productive communication considering a maritime organization reflecting metacommunication as a tool for improving communication skills. This paper will descriptively explain the process of communication in the organization, the ways and actions a manager must take as his activities in the function of business success, and how to improve communication to maximize productivity with the main goal of incorporating metacommunication in an organization. For such, pilot research was conducted on Graduate students of the Faculty of Maritime Studies in Split, majoring in Maritime Management (imagining students as employees and professors as managers), which showed that 75% know the concept of metacommunication, but only 51% use metacommunication with their colleagues as a part of productive communication.

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“…Therefore, performing quantitative risk assessment (QRA) for LNG bunkering operations is either mandated or highly recommended for understanding and mitigating the potential risks according to the existing regulations and standards [5]. Human error has become the main contributor to the risks in the maritime industry [6,7], where the combination of human and organizational errors during operations leads to about 65% of all catastrophic accidents [8]. As a result, when performing a QRA for LNG bunkering, the human error probabilities (HEPs) are essential inclusion.…”

Section: Introductionmentioning

confidence: 99%

Human Error Probability Assessment for LNG Bunkering Based on Fuzzy Bayesian Network-CREAM Model

Fan

Enshaei

Jayasinghe

2022

JMSE

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Liquified natural gas (LNG) as a marine fuel has gained momentum as the maritime industry moves towards a sustainable future. Since unwanted LNG release may lead to severe consequences, performing quantitative risk assessment (QRA) for LNG bunkering operations has become mandatory according to some regulations. Human error is a main contributor to the risks, and the human error probabilities (HEPs) are essential for inclusion in a QRA. However, HEPs data are unavailable in the LNG bunkering industry so far. Therefore, this study attempts to infer HEPs through on-site safety philosophical factors (SPFs). The cognitive reliability and error analysis method (CREAM) was adopted as a basic model and modified to make it suitable for HEP assessment in LNG bunkering. Nine common performance condition (CPC) indicators were identified based on the fuzzy ranking of 23 SPF indicators (SPFIs). A Bayesian network (BN) was built to simulate the occurrence probabilities of different contextual control modes (COCOMs), and a conditional probability table (CPT) for the COCOM node with 19,683 possible combinations in the BN was developed according to the CREAM’s COCOM matrix. The prior probabilities of CPCs were evaluated using the fuzzy set theory (FST) based on data acquired from an online questionnaire survey. The results showed that the prior HEP for LNG bunkering is 0.009841. This value can be updated based on the re-evaluation of on-site SPFIs for a specific LNG bunkering project to capture the dynamics of HEP. The main innovation of this work is realizing the efficient quantification of HEP for LNG bunkering operations by using the proposed fuzzy BN-CREAM model.

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Human error in marine accidents: Is the crew normally to blame?

Cited by 43 publications

References 25 publications

A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

Communication in the Management Process - Productive Communication

Human Error Probability Assessment for LNG Bunkering Based on Fuzzy Bayesian Network-CREAM Model

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