An investigation of air accidents in Nigeria using the Human Factors Analysis and Classification System (HFACS) framework

Daramola, Adebukola Yewande

doi:10.1016/j.jairtraman.2013.11.004

Cited by 84 publications

(42 citation statements)

References 5 publications

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“…There are four main levels in the HFACS framework (Daramola 2014;Lenne et al 2012;Shappell et al 2007): (1) the unsafe acts tier includes perception errors, decision errors, skill-based errors and violations, the factors of this level result in accidents directly; (2) the preconditions for unsafe acts tier includes technological environment, physical environment, condition of the operator, crew resource management and personal readiness, the factors of this level can result in a unsafe behaviors; (3) the unsafe supervisions tier includes inadequate supervision, planned inappropriate operations, failure to correct known problems and supervisory violations, these factors have a great effect on the condition of unsafe behaviors; (4) the organizational influences tier includes organizational climate, operational process, resource management. For every collected accident, it includes many human errors.…”

Section: Introductionmentioning

confidence: 99%

“…For every collected accident, it includes many human errors. These human factors can be filtered from the accident investigation reports and sorting into specific categories based on the HFACS framework (Celik, Cebi 2009;Daramola 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Some scholars use statistic independence methods to uncover the relationship between the factors in the HFACS framework, providing evidence to the inter theory of failure to accident behind the framework (Daramola 2014;Lenne et al 2012;Olsen, Shorrock 2010;Tvaryanas et al 2006). These analyses begin to describe statistically how actions and decisions at higher managerial levels promulgate down through the organization to result in operational errors and accidents.…”

Section: Introductionmentioning

confidence: 99%

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

Zheng

Zhou

Wang

et al. 2018

Journal of Civil Engineering and Management

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Abstract. There are many types of accidents with their own characteristics in hydropower construction. The accidents are mainly results of human errors. It is important to find out the routes to failure and give recommendations pertinently for different accident types. First, 869 accident investigation reports are collected and the human factors are filtered using the Human Factors Analysis and Classification System (HFACS) framework, the norms which link the accident causes and human factors are also explored, the first three accident types are determined by the frequency statistics. The ranking of the factors and the norms of the three accident types is presented using the frequency statistics. The Chi-square, lambda and odds ratios are used to analyze the interdependences between adjacent level factors of three highest frequency accident types. At last, based on the correlation analysis between different human factors, the routes to failure can be determined; containing the norm frequency of factors, the safety recommendations are given to the different accident types pertinently. The results can be auxiliary and effective information for safety managers to conduct scientific and pertinent safety managements.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zheng

Zhou

Wang

et al. 2018

Journal of Civil Engineering and Management

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“…Furthermore, external factors as the fifth level was introduced to optimize the framework (Chauvin, Lardjane, Morel, Clostermann, & Langard, 2013;Patterson & Shappell, 2010). With the development of the study, the approach has been applied to many fields, such as aviation (Daramola, 2014), maritime (Chauvin et al, 2013), mining (Lenné et al, 2012), railways (Madigan et al, 2016), and medicine (Elbardissi, Wiegmann, Dearani, & Daly, 2007).…”

Section: Introductionmentioning

confidence: 99%

The hybrid systems method integrating human factors analysis and classification system and grey relational analysis for the analysis of major coal mining accidents

et al. 2018

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The coal mine safety situation remains grim in China. This study proposed a hybrid systems method integrating the human factors analysis and classification system and grey relational analysis to determine the key factors causing coal mine casualties. The method was applied to analyse 94 coal mining accidents from 1997 to 2011, and the results were as follows. (a) Among the five levels, “unsafe acts” has the highest grey relational grade with accident casualties, followed by “preconditions for unsafe acts,” “organizational influences,” “unsafe supervision,” and “external factors.” (b) Among all categories, “inadequate supervision” has the closest relationship with accident casualties, followed by “violations,” “environmental factors,” and “errors.” (c) “Naked fire in flammable and explosive places” and “untimely accident handling or improper handling measures” are important indicators affecting accident casualties. Finally, some corresponding suggestions for safe coal mine production were proposed.

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“…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. The only drawback is also that the above articles analyze the relationship between adjacent levels of the factors, without any cross-level relationship investigation.…”

Section: Introductionmentioning

confidence: 99%

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

Zheng

Wang

Zhou

2017

Mathematical Problems in Engineering

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Hydropower project construction is a high-risk operation, where accidents occur frequently. Moreover, the factors leading to accidents are often human factors, so safety evaluation of these factors for the hydropower projects' work system is very significant. The Human Factors Analysis and Classification System (HFACS) framework is applied to build evaluation system. In the evaluation process, correlation analysis is used to form the intercriteria analysis matrix that helps the decision makers to build impact relation matrix. Factor weights are calculated by the Analytic Network Process (ANP). In the index value determination step, the evidence theory is used to eliminate the conflicts of three decision makers and the index values are then calculated. The faulty behavior risk (FBR) assessment value is finally obtained. The proposed method is practical and its applicability is proved by an example.

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An investigation of air accidents in Nigeria using the Human Factors Analysis and Classification System (HFACS) framework

Cited by 84 publications

References 5 publications

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

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

The hybrid systems method integrating human factors analysis and classification system and grey relational analysis for the analysis of major coal mining accidents

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

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