<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The aim of the paper was to analyze risky behaviors in the mining industry on the example of the indicator analysis of the statistics on accidents at work. Selected criteria of generic analysis (structure index – causes of accidents) and indicator analysis (intensity index – frequency indicator of accidents) were used in the research. The source of data for the analysis of accident rate were the publications of the Statistics Poland entitled “Accidents at work” in Poland for 2010-2021. The study aimed at human causes, which included the following five groups: lack or improper handling of a material factor by the employee, failure to use protective equipment by the employee, improper willful behavior of the employee, improper mental and physical state of the employee, improper behavior of the employee. For the analysis of risky behaviors, the proposition of the frequency indicator of accidents at work was used in the form of the probability indicator of accidents caused by risky behaviors per 1,000 working people. Based on the indicator analysis of risky behaviors, a comparative analysis of statistics on accidents at work in the period 2010-2021 according to the criterion of human causes was developed for Poland and mining. The research is based on the data of the Statistics Poland (GUS), but can be extended with other data, e.g. industry data according to the State Mining Authority (WUG). The results of the research can be used for a comparative analysis of the statistics on accidents at work in relation to other sectors and sections of economic activity of the NACE (PKD). The publication contains the original results of the indicator analysis of the statistics on accidents at work according to the criterion of human causes in the mining industry, and they can be addressed to persons managing of mining plants and managers of mining supervision authorities.</p>
</abstract>

The aim of the paper was to analyze risky behaviors in the mining industry on the example of the indicator analysis of the statistics on accidents at work. Selected criteria of generic analysis (structure index – causes of accidents) and indicator analysis (intensity index – frequency indicator of accidents) were used in the research. The source of data for the analysis of accident rate were the publications of the Statistics Poland entitled “Accidents at work” in Poland for 2010-2021. The study aimed at human causes, which included the following five groups: lack or improper handling of a material factor by the employee, failure to use protective equipment by the employee, improper willful behavior of the employee, improper mental and physical state of the employee, improper behavior of the employee. For the analysis of risky behaviors, the proposition of the frequency indicator of accidents at work was used in the form of the probability indicator of accidents caused by risky behaviors per 1,000 working people. Based on the indicator analysis of risky behaviors, a comparative analysis of statistics on accidents at work in the period 2010-2021 according to the criterion of human causes was developed for Poland and mining. The research is based on the data of the Statistics Poland (GUS), but can be extended with other data, e.g. industry data according to the State Mining Authority (WUG). The results of the research can be used for a comparative analysis of the statistics on accidents at work in relation to other sectors and sections of economic activity of the NACE (PKD). The publication contains the original results of the indicator analysis of the statistics on accidents at work according to the criterion of human causes in the mining industry, and they can be addressed to persons managing of mining plants and managers of mining supervision authorities.

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Management Systems in Production Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

The aim of the paper was to analyze risky behaviors in the mining industry on the example of the indicator analysis of the statistics on accidents at work....

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Data publikacji: 06 gru 2023

Zakres stron: 389 - 397

Otrzymano: 01 kwi 2023

Przyjęty: 01 paź 2023

DOI: https://doi.org/10.2478/mspe-2023-0043

Słowa kluczowe
risky behaviors, statistics on accident rate, causes of accidents, mining industry

© 2023 Aneta Grodzicka, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Data publikacji: 06 gru 2023

Zakres stron: 389 - 397

Otrzymano: 01 kwi 2023

Przyjęty: 01 paź 2023

DOI: https://doi.org/10.2478/mspe-2023-0043

Słowa kluczowerisky behaviors, statistics on accident rate, causes of accidents, mining industry

© 2023 Aneta Grodzicka, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
risky behaviors, statistics on accident rate, causes of accidents, mining industry