In order to lower the risk of worker injury during a particular activity, an analysis of all risks that were found to be impacting project performance from the railway construction sectors in the Eastern region of Nigeria was carried out. The data obtained from a self-administered questionnaire survey to the construction industries was calculated using Likert scale and the mean index formula following a brief instruction on health, safety, and environmental culture in the industry. Using a matrix analysis table and a qualitative approach of data analysis, the degree of dangers was ascertained. Five categories of dangers, together with their subcategories, were chosen from construction-related projects based on the mentioned literature. To ensure that every company in the research region was equally represented, three firms were chosen at random from each state. Employees in the chosen construction industry received 160 questionnaires in total. 44 did not answer for a variety of reasons, bringing the sample size down to 116. The rate of 72.5% for the respondent was found. Within two months, the distribution and collection were completed. Using the Cronbach's alpha reliability coefficient, which gauges the consistency of items in question replies, reliability tests were run on each hazard's scale. Social, physical, and chemical dangers have the highest level of hazard among the five categories of hazards mentioned. The findings corroborate the literature that shows the most dangerous conditions in the construction sectors within the analyzed locations include insufficient safety performance, lack of job security, dry cement, dust, vibration, and sun.
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Nneka et al. (2024) studied this question.
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