Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents

Abstract

22Minor safety incidents on the railways cause disruption, and may be indicators of more serious safety 23 risks. The following paper aimed to gain an understanding of the relationship between active and 24 latent factors, and particular causal paths for these types of incidents by using the Human Factors 25Analysis and Classification System (HFACS) to examine rail industry incident reports investigating such 26 events. 78 reports across 5 types of incident were reviewed by two authors and cross-referenced for 27 interrater reliability using the index of concordance. The results indicate that the reports were strongly 28 focused on active failures, particularly those associated with work-related distraction and 29 environmental factors. Few latent factors were presented in the reports. Different causal pathways 30 emerged for memory failures for events such a failure to call at stations, and attentional failures which 31 were more often associated with signals passed at danger. The study highlights a need for the rail 32 industry to look more closely at latent factors at the supervisory and organisational levels when 33 investigating minor safety of the line incidents. The results also strongly suggest the importance of a 34 new factor operational environment that captures unexpected and non-routine operating 35 conditions which have a risk of distracting the driver. Finally, the study is further demonstration of the 36 utility of HFACS to the rail industry, and of the usefulness of the index of concordance measure of 37 interrater reliability. 38

Ferramenta Para Investigação De Acidentes De Trabalho Em Indústrias Alimentícias

“…Nesta etapa o investigador deve selecionar as possíveis causas do acidente para cada uma das classificações: influências organizacionais, supervisão insegura, pré-condições para ações inseguras e ações inseguras, conforme abaixo: -Influências Organizacionais: Se referem à visão dentro da organização, incluindo às influências e decisões falíveis tomadas nos mais altos níveis da administração (SHAPPELL; WIEGMANN, 2000;ERGAI et al, 2016;MADIGAN et al, 2016). …”

A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory

“…After further research, HFACS has been systematically and thoroughly applied in all types of accident evaluation and research. The system has been employed to maritime accidents, railway accidents, mining accidents, and hydropower projects [3][4][5][6][7]. These studies reveal that the HFACS framework for the description of accident risk factors has a high degree of reliability.…”

“…The traditional HFACS index system [3,6,8] only considers the impact of a one-way relationship between adjacent levels, which makes expressing the relationship of interdependence between all levels of factors difficult. Chi-square and Fisher's test have been used to analyze HFACS category links between adjacent categories [9], but only the adjacent levels' relationships were analyzed, and the relationship was 2 Mathematical Problems in Engineering unidirectional; namely, it described how factors in the upper (organizational) levels in the framework affect categories in the lower (operational) levels; to determine dependencies between factors more accurately, Liu and Lai [10], in their study, proposed the use of statistical methods for analysis of data on accidents.…”

Routes to Failure and Prevention Recommendations in Work Systems of Hydropower Construction

“…Active errors result in accidents directly with immediate influences; they are recorded accurately in the accident investigation report (Chiu, Hsieh 2016). Latent errors cause accidents indirectly statistics; their adverse consequences may lie dormant within the system for a long time, only becoming evident combining with other factors to breach the system's defences (Chiu, Hsieh 2016;Madigan et al 2016), they are also recorded in the accident investigation report after the deep analysis by experts. It is important to analyze the relationship by statistic independence methods using accident investigation report.…”

“…The HFACS system was originally developed as an evaluation framework to analyze and classify operator errors in aviation accidents and mishaps (Shappell, Wiegmann 2001;Wiegmann, Shappell 2003). The advanced version of HFACS based upon Reason's model of latent and active failures has provided an applicable system to investigate human errors in accidents (Madigan et al 2016).…”