Analysis of work accidents data: A case study of the South African mining industry

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dc.contributor.advisor Amponsah-Dacosta, F.
dc.contributor.advisor Mhlongo, Sphiwe Emmanuel
dc.contributor.author Masindi, Masala Theron
dc.date 2023
dc.date.accessioned 2023-11-17T02:23:05Z
dc.date.available 2023-11-17T02:23:05Z
dc.date.issued 2023-10-05
dc.identifier.citation Masindi, M. T. (2023). Analysis of work accidents data: A case study of the South African mining industry. University of Venda, Thohoyandou, South Africa.<http://hdl.handle.net/11602/2653>.
dc.identifier.uri http://hdl.handle.net/11602/2653
dc.description MESMEG en_ZA
dc.description Department of Earth Sciences
dc.description.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 vi 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 en_ZA
dc.description.sponsorship National Research Council (NRF) en_ZA
dc.format.extent 1 online resource (xi, 67 leaves) : color illustrations, color maps
dc.language.iso en en_ZA
dc.subject Mining accidents en_ZA
dc.subject Accidents data analysis en_ZA
dc.subject Fatalities en_ZA
dc.subject Chi-Square test en_ZA
dc.title Analysis of work accidents data: A case study of the South African mining industry en_ZA
dc.type Dissertation en_ZA
dcterms.requires PDF
dcterms.rights University of Venda

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