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Causal Relationship Network of Risk Factors Impacting Workday Loss in Underground Coal Mines

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Shangsi Ren, Xin Meng, Tong Yu, Katherine E. Zychowski, Pedram Roghanchi, Jiantao Pu

When a miner misses work after an injury or illness, the cause may be more than the accident itself. A new analysis maps the chain of conditions that lead to lost workdays underground.

Transcript

When a miner misses work after an injury or illness, the cause may be more than the accident itself. A new analysis maps the chain of conditions that lead to lost workdays underground. Coal mine safety is a global concern, and underground mining is considered a high-risk occupation in the United States.

Even though safety has improved overall, mining still involves a high degree of uncertainty. Differences in risk can come from mine size, workforce size, coal production, and investment in monitoring and safety systems. The goal was to establish the causal relationship network between various factors leading to workday loss in underground coal mines.

Think of it like tracing a road accident backward: instead of looking only at the crash, the analysis follows the connected conditions that may have led there. The analysis used a causal discovery method to study coal mine data across the United States and build a network of factors influencing employee workday loss.

The data were divided around a change in coal mine safety introduced in two thousand six, so the relationships could be considered before and after that change. The study examined coal mining records covering employment, injuries and illnesses, workday loss, mine experience, job information, production, and working hours.

The analysis focused on records from nineteen ninety through two thousand twenty, while earlier years were excluded because reporting was inconsistent and technology had greatly improved working conditions. After removing variables unrelated to workday loss, the analysis produced a causal relationship network containing seventeen variables.

The direct causes included mine staffing, office and surface employees, the source and type of an accident, mining experience, job title, and county. The evaluation produced four scores: zero point six four six, zero point six two eight, zero point three six eight, and zero point three five four.

The study did not include some possible influences, such as mining equipment and mining methods, because that information was difficult to obtain and distinguish. The records covered more than three decades, so changes in regulations and safety practices may have affected how complete and accurate the data were.

Mining area can affect workday loss. Understanding the factors that contribute to lost workdays can help mine operators make informed decisions about staffing and safety measures. The resulting understanding of cause and effect could be used to improve the safety and efficiency of coal mines in the future.

Workday loss is linked to connected features of people, jobs, and mines—not one isolated cause. Understanding those links could help mine operators make safer staffing and safety decisions.

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