Abstract:
For any industry to be successful, its production needs must be met while the highest safety
standards are maintained. Mining accidents and their subsequent fatalities have enormous social
and economic consequences. The current study was undertaken to better understand the
fundamental causes of mine accidents so that major remedial actions can be developed and
implemented to improve safety in the mining industry. The purpose of this study was to analyse
work accident data of the South African industry that was compiled for the period 2008–2017.
Secondary data on accidents was requested from the Department of Mineral and Energy
Resources (DMRE). Accident data obtained from DMR was summarized, characterized, and
described in a meaningful manner to determine the variables or factors which contribute to
accidents in the mining industry. Variables that contribute to accidents in the mining includes fall
of ground/rock fall, machinery, transportation and mining, general, conveyance accidents,
electricity, fires, explosive, heat sickness and miscellaneous. Descriptive statistics, figures, and
tables were used to describe and understand the accidents within the mining industry.
A chi-square test was used to quantify the extent to which accident outcomes and commodities
are independent of each other by year and injury type. This was done to examine the association
between the dependent accident outcome and the independent variables such as year,
commodity type, and casualty type. The study was significant in that its findings will contribute to
building a culture of safety within the mining environment1, which was not only to reduce the risks
of miners being exposed to potential workplace accidents but also had an impact on their attitude
and perceptions towards workplace safety and their perception of zero as this is one of the
priorities which the mining industries need to achieve.
The study produced results that summarize the influence of year, commodity type, and casualty
type on accident outcome. In particular, the analysis of accidents helped in establishing the
relationship between the dependent accident outcome variable and several independent
variables, such as year, commodity type, and casualty type, there was an increased number of
accidents with respect to different commodities with different in years. The findings of this study
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will be used in planning, designing, and implementing health and safety programmes that will
contribute to decrease in the number of accidents for mining different commodities in South Africa.
Keywords: mining accidents, accidents data
