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Mining Publication: Patterns in Mining Haul Truck Accidents
Keywords: Accidents Haulage trucks
Original creation date: September 2012
Authors: CG Drury, WL Porter, PG Dempsey
Conference Proceedings - September 2012
Download PDF Document (0.76 MB)
NIOSHTIC2 Number: 20041927
Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, October 22-26, 2012, Boston, Massachusetts. Santa Monica, CA: Human Factors and Ergonomics Society, 2012 Sep; 56:2011-2015
To help develop ergonomics audit programs for mining, one source of data on both work tasks and their failures is accident reports. These are available in most industries and are often used in human factors engineering, but typically to justify and evaluate interventions rather than to provide task details and failure mechanisms. Because fatal accidents in particular contain considerable detail resulting from thorough follow-up investigations, they are thus a useful starting point for analysis. A set of 40 detailed fatal accident reports for mining haul truck accidents were analyzed to develop repeating patterns of accidents. This paper examines the accident patterns found from the initial sample, the refined pattern analysis developed from a subsequent larger sample, and the task analyses used later to help develop valid audit programs.
Cover image for Patterns in Mining Haul Truck AccidentsConference Proceedings - September 2012
Download PDF Document (0.76 MB)
NIOSHTIC2 Number: 20041927
Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, October 22-26, 2012, Boston, Massachusetts. Santa Monica, CA: Human Factors and Ergonomics Society, 2012 Sep; 56:2011-2015
See Also
Acceleration and GPS Data Monitor Truck-Haulage Jolts
Analysis of Practical Ground Control Issues in Highwall Mining
A Catastrophe-Theory Model for Simulating Behavioral Accidents
Characteristics of Fugitive Dust Generated from Unpaved Mine Haulage Roads
A Comparison of Longwall & Continuous Mining Safety in U.S. Coal Mines 1988-1997
Independent Contractor Trends in the United States Mining Industry
Monitoring Blind Spots: A Major Concern for Haul Trucks
Surface Haulage Truck Research
Test Results of Collision Warning Systems for Surface Mining Dump Trucks
Tying Acceleration and GPS Location Information Together To Create a Mine Management Tool
Page last reviewed: October 20, 2017
Page last updated: October 12, 2016
Content source: National Institute for Occupational Safety and Health, Mining Program
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