Mapping FRAM to BN through Accimap for system risk assessment: an application to heavy goods vehicle fire risk in road tunnels

The Functional Resonance Analysis Method (FRAM) is extensively used to qualitatively analyze the risk of socio-technical systems. To quantitatively assess system risk, previous studies have explored various approaches to integrate FRAM with Bayesian Networks (BN). However, the process of mapping FRAM to BN relies heavily on subjective judgments, often lacking traceability and repeatability. In this paper, a standardized method for mapping FRAM to BN is proposed through introducing Accimap. Firstly, each FRAM’s functional hexagon is transformed into an Accimap, with the six aspects of functions corresponding to Accimap factors. In addition, their internal coupling relationships are obtained by cause and effect investigation in Accimap. Secondly, multiple Accimaps are connected based on the upstream-downstream couplings between functions in FRAM. Through this method, (i) the aspects of FRAM are transformed into Accimap factors and then BN nodes, and (ii) the couplings among the six aspects of functions and across multiple hexagons are converted into BN directed edges.

Authors

Publication Details

Journal
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Published
2025-02-10
DOI
https://doi.org/10.17531/ein/200692
Citations
2
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
2.80

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article

Mapping FRAM to BN through Accimap for system risk assessment: an application to heavy goods vehicle fire risk in road tunnels

Jianbin Guo, Shengkui Zeng, Haiyang Che, Yuhang Zhao
2 citations
Eksploatacja i Niezawodnosc - Maintenance and Reliability
Risk and Safety Analysis
2.80
article

Mapping FRAM to BN through Accimap for system risk assessment: an application to heavy goods vehicle fire risk in road tunnels

Jianbin Guo, Shengkui Zeng, Haiyang Che, Yuhang Zhao
article en
2 citations

Abstract

The Functional Resonance Analysis Method (FRAM) is extensively used to qualitatively analyze the risk of socio-technical systems. To quantitatively assess system risk, previous studies have explored various approaches to integrate FRAM with Bayesian Networks (BN). However, the process of mapping FRAM to BN relies heavily on subjective judgments, often lacking traceability and repeatability. In this paper, a standardized method for mapping FRAM to BN is proposed through introducing Accimap. Firstly, each FRAM’s functional hexagon is transformed into an Accimap, with the six aspects of functions corresponding to Accimap factors. In addition, their internal coupling relationships are obtained by cause and effect investigation in Accimap. Secondly, multiple Accimaps are connected based on the upstream-downstream couplings between functions in FRAM. Through this method, (i) the aspects of FRAM are transformed into Accimap factors and then BN nodes, and (ii) the couplings among the six aspects of functions and across multiple hexagons are converted into BN directed edges.

Eksploatacja i Niezawodnosc - Maintenance and Reliability
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Risk and Safety Analysis
2.80
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