Citation

Patterson JM, Shappell SA. Accid. Anal. Prev. 2010; 42(4): 1379-1385.

Affiliation

Industrial Engineering Department, Clemson University, Clemson, SC 29634, USA. jessicam.patterson@gmail.com

Copyright

(Copyright © 2010, Elsevier Publishing)

DOI

10.1016/j.aap.2010.02.018

PMID

20441855

Abstract

Historically, mining has been viewed as an inherently high-risk industry. Nevertheless, the introduction of new technology and a heightened concern for safety has yielded marked reductions in accident and injury rates over the last several decades. In an effort to further reduce these rates, the human factors associated with incidents/accidents needs to be addressed. A modified version of the Human Factors Analysis and Classification System was used to analyze incident and accident cases from across the state of Queensland to identify human factor trends and system deficiencies within mining. An analysis of the data revealed that skill-based errors were the most common unsafe act and showed no significant differences across mine types. However, decision errors did vary across mine types. Findings for unsafe acts were consistent across the time period examined. By illuminating human causal factors in a systematic fashion, this study has provided mine safety professionals the information necessary to reduce mine incidents/accidents further.

Language: en