The development of the Functional Resonance Analysis Method (FRAM) has been
motivated by the perceived limitations of fundamentally deterministic and probabilistic …

This is a review paper of studies that have employed the functional resonance analysis
method (FRAM). FRAM is a relatively new systemic method for modeling and analyzing …

Accident causation models mainly answer the following two questions:(ⅰ) why does an
accident occur, and (ⅱ) how does it occur? These models are the most important theoretical …

The complexity and non-linear interactions involved in maritime accidents make it
challenging to apply traditional models of risk analysis to them. Resilience is adopting a …

In this paper, an Interpretive Structural Modeling (ISM) and Bayesian Network (BN)
combining approach is applied to analyze the relationships and interaction strengths among …

Effectively managing system safety and resilience in critical infrastructures requires
addressing emergent risks and critical resonances. This study introduces a quantitative …

In order to prevent accidents in the railway dangerous goods transportation system
(RDNGTS), a 24 model is proposed to analyze the risk in this paper. 24 model is a human …

In order to manage the railway dangerous goods transportation system (RDNGTS)
successfully, an explicit and effective previous accident analysis and accident control …

Chemical process systems are becoming more automated and complex, which leads to
increased interaction and interdependence between the human and technical elements of …

Accident models are mental models that make it possible to understand the causality of
adverse events. This research was conducted based on five major objectives:(i) to …