Half-century research developments in maritime accidents: Future directions

Luo, Meifeng; Shin, Sung Ho

doi:10.1016/j.aap.2016.04.010

Cited by 179 publications

(76 citation statements)

References 79 publications

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“…This is in line with the post period of ISM code implementation, resulting in a significant reduction of human-induced factors in maritime accidents [25]. Improvement of the maritime technology, technology in shipbuilding and ship management and also better crew training, induce the improvement of maritime society [26]. The results for HEP were varied and depended on the selected GT, i.e., at the time of the accidents, what kind of situation existed, and which task was being performed.…”

Section: Figure 3 Human Error Probability Calculation Resultssupporting

confidence: 61%

Usability of Human Error Assessment and Reduction Technique with a 4M framework (HEART–4M) – A Case Study on Ship Grounding Accidents

Bowo¹,

Furusho²

2019

J ETA Maritime Sci

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Human error plays a vital role in causing maritime accidents. This paper presents the analysis of human factors in 52 grounding accident reports of ships greater than 10,000 GT retrieved from 11 national investigation boards. In this study, the categorization of error-producing conditions (EPCs) from the Human Error Assessment and Reduction Technique (HEART) methodology to 4M (Man, Machine, Media, and Management) framework, EPC-4M was carried out. This study aims to categorize the EPCs to the 4M framework to better explain these other factors that relate to human factors. There were 18 EPCs in man factors, 3 EPCs in machine factors, 1 EPC in media factors, and 16 EPCs in management factors. Three types of generic tasks were obtained in this grounding analysis, and 259 relevance EPC-4M were acquired. EPCs related to management factors were the primary causes of such accidents. The average human error probability for these cases was around 55%.

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Section: Figure 3 Human Error Probability Calculation Resultssupporting

confidence: 61%

Usability of Human Error Assessment and Reduction Technique with a 4M framework (HEART–4M) – A Case Study on Ship Grounding Accidents

Bowo¹,

Furusho²

2019

J ETA Maritime Sci

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“…The investigation on historical data (Barsan et al, 2007, Luo andShin, 2016) is one of the most popular approaches to identify the causes of maritime accidents. Most of such studies are unable to measure the specific factor changing, especially the quantitative data of psychological and physiological characteristics of the human.…”

Section: Seafarers' Emotion Identificationmentioning

confidence: 99%

Effects of seafarers’ emotion on human performance using bridge simulation

et al. 2018

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75-96% of maritime accidents are caused by human and organisational factors. Seafarers' emotion may degrade the effectivity of human behaviour when tasks in onboard environment are complex and demanding. This study was concerned with the relationship between seafarers' emotion and occurring events in navigation. The Electroencephalogram (EEG) and Self-Assessment Manikin (SAM) scale rating are used to investigate the occurrence and impact of seafarers' emotions on their performance using a bridge simulator. The study was conducted and described in two sections: emotion calibration and test recognition. In the first section, two types of emotions are induced by the sound clips of the International Affective Digitized Sounds (IADS), developed by the National Institute of Mental Health Center for the Study of Human Emotions. In the second section, emotion is recognised by the Support Vector Machine (SVM) classifier, as well as self-rated after the crew-qualified test in a bridge simulator. The results indicate that SVM can identify the emotions by EEG feature extraction, with an accuracy of 77.55%. The results concerning officers' emotion in a bridge simulator test reveal that seafarers' emotion in maritime operations, relating to events exposure, affects their behaviour and decision-making. In addition, negative emotion has a higher likelihood of contributing to human errors than positive emotion. Less negative emotion is the most dangerous emotion state during navigation, followed by extreme positive emotion.

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“…). It is thus not surprising that the general trend of maritime safety studies has shifted from a focus on vessel architecture to an emphasis on the behavioral aspects of human error (Luo and Shin ). Relevant to our study, in particular, seafarers’ perceptions of workplace safety (safety climate) have been shown to be positively correlated with safety behaviors (Lu and Tsai ) and workers’ perceptions of safety levels on vessels were linked to the likelihood of vessel accidents (Lu and Tsai ).…”

Section: Background Literaturementioning

confidence: 99%

Linking Workplace Safety to Operational Disruptions: A Moderated Mediation Analysis in Commercial Vessels

Choo

Grabowski

2018

J of Business Logistics

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L ittle is known about the mechanism of how workplace safety may affect operational disruptions manifested as unplanned maintenance in commercial vessels. Building upon the high reliability organization theory as a broad framework, we propose that workplace safety climate influences how employees identify and report errors at work. Specifically, no-blame error reporting mediates the relationship between safety climate and unplanned maintenance in vessels. Additionally, we posit that the mediation effect varies among vessels in that it is stronger (weaker) in newer (older) vessels that are easier (harder) to maintain operationally. We test the moderated mediation framework at the vessel level of analysis using an archival survey data with multiple responses from 1,169 crewmembers in 86 marine vessels. Our results lend support to the mediation effect in that safety climate facilitates no-blame error reporting, which subsequently reduces the frequency of unplanned maintenance. In particular, the effect of safety climate on unplanned maintenance is fully mediated by no-blame error reporting. As vessel owners attempt to maximize their return on investments in aging ships, the mediation effect shows a high level of safety climate in a vessel is indirectly associated with a significantly lower level of unplanned maintenance rate relative to a similar age vessel but with an average level of safety climate. However, the mediation effect weakens as a vessel ages. This study contributes to important insights into how safety climate can reduce operational disruptions (unplanned maintenance events) through error reporting behaviors, contingent upon the age of ocean carriers in logistics companies.

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Half-century research developments in maritime accidents: Future directions

Cited by 179 publications

References 79 publications

Usability of Human Error Assessment and Reduction Technique with a 4M framework (HEART–4M) – A Case Study on Ship Grounding Accidents

Usability of Human Error Assessment and Reduction Technique with a 4M framework (HEART–4M) – A Case Study on Ship Grounding Accidents

Effects of seafarers’ emotion on human performance using bridge simulation

Linking Workplace Safety to Operational Disruptions: A Moderated Mediation Analysis in Commercial Vessels

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