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Identifying Training Deficiencies in Military Pilots by Applying the Human Factors Analysis and Classification System

Li W. C., Harris D.

International Journal of Occupational Safety and Ergonomics

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2013

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Vol. 19, No. 1

3--18

EN

Without accurate analysis, it is difficult to identify training needs and develop the content of training programs required for preventing aviation accidents. The human factors analysis and classification system (HFACS) is based on Reason's system-wide model of human error. In this study, 523 accidents from the Republic of China Air Force were analyzed in which 1762 human errors were categorized. The results of the analysis showed that errors of judgment and poor decision-making were commonly reported amongst pilots. As a result, it was concluded that there was a need for military pilots to be trained specifically in making decisions in tactical environments. However, application of HFACS also allowed the identification of systemic training deficiencies within the organization further contributing to the accidents observed.

2

Hazard Awareness of Construction Site Dumper Drivers

Bohm J., Harris D.

International Journal of Occupational Safety and Ergonomics

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2012

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Vol. 18, No. 3

363--373

EN

In UK’s construction industry, site dumpers cause more serious accidents than in any other type of construction plant. Previous research has indicated that driver behaviour plays a pivotal role in the vast majority of these accidents. Using a mental models-based approach, 20 dumper drivers were interviewed with regard to the process by which several typical types of accident occurred. It was found that drivers were generally well-informed about the hazards of driving dumpers on a construction site. However, the findings also exposed some critical knowledge gaps, which could increase a driver’s chances of an accident. Educational material relating to these knowledge deficiencies could easily be prepared and incorporated into revised construction information leaflets or driver training courses.

3

Risk Perception and Risk-Taking Behavior of Construction Site Dumper Drivers

Bohm J., Harris D.

International Journal of Occupational Safety and Ergonomics

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2010

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Vol. 16, No. 1

55--67

EN

In the UK construction site dumpers cause more serious accidents than any other type of construction plant. Previous research has indicated that driver behavior plays a pivotal role in the vast majority of these accidents. This study used a paired comparison technique to explore dumper drivers’ and subject matter experts’ (SMEs’) risk perception and its relationship to risk-taking behavior. It was found that driver risk perception significantly differed from measures of “objective risk”, derived from accident data and also from SMEs’ risk perception. Furthermore, drivers still engaged in undertaking perceived high risk behaviors. The results suggest that driver risk perception was linked to the “perceived dread” of an accident, rather than its likelihood and that risk-taking behavior was often driven by situational factors, such as site safety rules or the behavior of other personnel on the site, together with an overarching culture that prioritizes production over safety.

4

Ripples in a Pond: An Open System Model of the Evolution of Safety Culture

Morley F. J. J., Harris D.

International Journal of Occupational Safety and Ergonomics

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2006

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Vol. 12, No. 1

3--15

EN

The development of an effective safety culture is essential to promote safe operations. Previous studies have either identified the characteristics of effective safety culture analytically, inferring them from signs and symbols derived from working practices, or have restricted the study of the development of safety culture to workers within an organisation. This paper describes a large-scale survey-based study in which the factors influencing the evolution of safety culture are identified empirically and, drawing upon open systems theory, are also extended beyond the bounds of the organisation. Three major determinants of safety culture are identified: safety concerns, influences and actions. Sub-components within each of these categories are also identified and the relationship between them is hypothesised.