Abstract The Bayesian Network (BBN) has been a popular method for risk assessment
especially for the modeling of rare accidents. It could make use of experts' domain …

Human and organizational factors (HOF) play a significant role in the accident occurrence in
chemical process industries (CPI). Human Factors Analysis and Classification System …

Bayesian Network (BN) is often criticized for demanding a large number of
crisp/exact/precise conditional probability numbers which, due to the lack of statistics, have …

Complexity in marine operations requires a robust and dynamic framework for human error
assessment to aid safety-based decision making under uncertainty. The current study …

Human errors are one of the most significant contributory factors in ship accidents. This
study aims to explore the quantitative relationship between the occurrence likelihood of …

Human factor is an inevitable element of safety-critical control room operations in nuclear
power plants. Identifying human factors influencing operator error occurrence in such critical …

The occurrence of railway accidents is not always the result of error/violation on the
operator's end; rather, there are many organizational factors involved. This research …

Human and organizational factors (HOFs) play an important role in electric misoperation
accidents (EMAs), but research into the reliability of human factors is still in its infancy in the …

Accident analysis models are crucial tools for understanding and preventing accidents in the
maritime industry. Despite the advances in ship technology and regulatory frameworks …

The bridge teams on merchant vessels have a grave responsibility to guarantee the safe
navigation and management of ships in the critical waterways of the world. In addition to …