Mining Project: Characterization of Haul Truck Health and Safety Issues
To inform future health and safety research related to powered haulage by identifying and characterizing health and safety issues related to haul trucks through a systematic evaluation of accidents, operators’ needs, and technology maturity.
Consistently, powered haulage accounts for the most fatalities in all mining. Fifty percent of the fatalities in 2017 (14 of 28) and 57% (4 of 7) of fatalities in the first few months of 2018 involved powered haulage [MSHA 2018b]. Mobile equipment accounts for most of these accidents. Mobile equipment was involved in nearly 40% (10) of the 28 overall fatalities and more than 30% of the overall injuries in 2017 [MSHA 2018c]. Of powered haulage and mobile equipment, haul trucks are the most prevalent piece of equipment. In fact, haul trucks account for over 45% of all equipment in the mining industry [PR Newswire 2015]. An estimated 44,500 haul trucks are in use worldwide [Parker Bay Company 2014]. In 2017, haul trucks were involved in six of the 28 fatalities [MSHA 2018a].
For the above reasons, haul trucks were selected as the subject for this research project and continue to be one of the leading health and safety concerns in mining. Haul trucks also share many similarities in design (e.g. operator cab, large size) and safety technology (e.g. collision avoidance systems, machine monitoring systems) with other pieces of mobile equipment such as bulldozers, front-end loaders, and service trucks. These similarities may allow for the generalization of the results to mobile equipment and powered haulage overall.
Research has shown that many of the accidents involving haul trucks appear to be related to operation and unidentified hazards, such as those hidden by blind spots [Porter 2016; Santos et al. 2010]. However, the underlying causes, what should be done, and where researchers’ efforts should be focused remain unclear. Therefore, the goals of this project are to better understand why these issues continue to occur and to identify any research and technology gaps that currently exist. This project will use a mixed-methods approach and follow the situational awareness-oriented design framework.
The three research tasks for this project are as follows:
(1) Accident Analyses: Analyze human-machine interface failures that may have contributed to the occurrence or severity of a fatality involving a haul truck.
(2) Goal-Directed Task Analysis: Identify the goals, decisions, and situational awareness requirements of haul truck operators related to human-machine interface failures identified in task 1.
(3) Technology Readiness Assessment: Assess the maturity of health and safety technologies related to human-machine interface failures identified in task 1.
The results of this work will identify research, technology, and implementation gaps related to haul truck operation. The work will also produce user requirements that can be used to design, develop, and improve safety interventions related to haul trucks. Overall, the industry will get a clearer picture of some of the underlying safety concerns.
Mine Safety and Health Administration [2018a]. Fatality reports. Accessed 22 February 2018.
Mine Safety and Health Administration [2018b]. Quarterly stakeholder call. 30 April 2018.
Mine Safety and Health Administration [2018c]. Safety improvement technologies for mobile equipment at surface mines, and for belt conveyors at surface and underground mines, vol. 83, 2018, p. 29716.
Porter W . Haul Trucks Can Kill! Coal Zoom. October 18.
PR Newswire . Global mining truck market 2015-2019 - growth of mining truck rental business with Caterpillar, Hitachi Construction Machinery & Komatsu dominating. Cision, 7 October 2015.
Santos B, Porter W, Mayton A . An analysis of injuries to haul truck operators in the U.S. mining industry. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Los Angeles, CA.
The Parker Bay Company . Mining trucks. Accessed 22 February 2018.
- Acceleration and GPS Data Monitor Truck-Haulage Jolts
- Characteristics of Fugitive Dust Generated from Unpaved Mine Haulage Roads
- Job Design: An Effective Strategy for Reducing Back Injuries
- Job Training Analysis: A Process for Quickly Developing a Roadmap for Teaching and Evaluating Job Skills
- Surface Haulage Truck Research
- Task Analysis
- Test Results of Collision Warning Systems for Surface Mining Dump Trucks
- Toward a Typology of Dynamic and Hazardous Work Environments
- Tying Acceleration and GPS Location Information Together To Create a Mine Management Tool
- The Work Crew Performance Model: A Method for Defining and Building Upon the Expertise Within an Experienced Work Force