Abstract

The construction industry has been characterised with alarming rate of accidents and fatalities. This problem has been largely attributed to the inability of construction workers to recognise and manage hazards in complex and dynamic construction environments. Several studies have been conducted on improving hazard recognition of construction workers. However, existing studies have not made efforts in determining the hazard recognition competence of construction workers based on the different attributes of hazard recognition related to the workers and their environment. In addition, the existing hazard recognition techniques do not take into account the factors that influence workers‘ hazard recognition capabilities based on the nature of jobs and trades they engage in, and on which the hazards are being managed. This study has developed factor-based models for measuring and evaluating hazard recognition capability of construction workers. The factors were identified from literature review and experts interview. Through the use ofa structured questionnaire,distributed purposively to construction professionals and workers in excavation, roof works and steel construction works, the extent of influence of the factors on hazard recognition capability of construction workers was determined. Five Hundred and Sixty-One questionnaires were analysed using descriptive and inferential statistical tools. Factor analysis and reliability analysis were used to establish a structure of the key determinants of hazard recognition capability of workers, forming a selfassessment tool. Logistic regression analysis was then used to determine the relationship among the categories of factors and develop a model for predicting hazard recognition capability of construction workers.

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