An accident causation model based on safety information cognition and its application

Yuanjiang Chen, Wei Feng, Zhiqiang Jiang, Lingling Duan and Shuangyi Cheng

Reliability Engineering and System Safety, 2021, vol. 207, issue C

Abstract: Accident causation models can provide a framework to explain how an accident occurs from various perspectives. In the past, human error has become the main cause of accidents, which is inextricably linked with safety information cognition (SIC). In this study, an accident causation model—SIC-based Accident-causing Model (SICAM) is developed and then a new human reliability analysis methodology—SIC-based human factor analysis (SICHFA) is provided. Three steps are followed to construct the model. First, the role of SIC in the safety information flow (SIF) has been confirmed. Secondly, the mechanism of accident causation based on SIC were addressed, the effect of negative signal noise mainly involved. Thirdly, the influence objects of signal noise on the SIC process (SICP) were classified at information home, cognitive environment, and cognitive object. To demonstrate the viability of SICAM & SICHFA, the electrical fire, which occurred frequently and resulted in serious adverse social impact in recent years, was selected as the case in this study. Results showed that the proposed accident causation model and SICHFA can provide a new approach for preventing & predicting human accidents.

Keywords: system safety; accident causation model; safety information cognition; human error; human factor analysis (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:207:y:2021:i:c:s0951832020308528

DOI: 10.1016/j.ress.2020.107363

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