Mapping FRAM to BN through Accimap for system risk assessment: an application to heavy goods vehicle fire risk in road tunnels
Year: 2025
Type: article
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.
DOI: 10.17531/ein/200692
Authors: Yingzhi Zhao, Shengkui Zeng, Jianbin Guo, Haiyang Che
Institution: Beihang University
Language: English
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $442
Award: G34732689
OpenAlex ID: W4407318917
