Hazard scenarios of truck drivers’ occupational accidents on and around trucks during loading and unloading

Shibuya, Hitomi; Cleal, Bryan; Kines, Pete

doi:10.1016/j.aap.2009.06.026

Cited by 53 publications

(41 citation statements)

References 26 publications

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“…Although it is revealed that truck drivers themselves suffer less severe injuries than passenger vehicle drivers due to the protective effect from truck weight and size (Levine et al, 1999), truck drivers still endure higher potential of severe injury outcomes in traffic crashes than other workers (NIOSH, 2007). To address this issue, Shibuya et al (2010) investigated the major factors related to nontraffic occupational injuries for truck drivers and established the hazard scenarios during loading and unloading procedures. According to FMCSA (2006), of all the crashes where the involved truck was assigned as the reason, 28% percent resulted from truck drivers' recognition issues and another 38% were induced by drivers' inappropriate decisions.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations

Chen

Zhang

Tian

et al. 2015

Accident Analysis & Prevention

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Section: Introductionmentioning

confidence: 99%

Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations

Chen

Zhang

Tian

et al. 2015

Accident Analysis & Prevention

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“…The detail contained in these narratives varies, however additional insight is generally into the causes of the injury, such as the activity being performed at the time of the injury. Analysis of injury narratives has previously been undertaken in mining [3][4][5]; construction [6][7][8]; welders [9] and truck drivers [10].…”

Section: Introductionmentioning

confidence: 99%

Injuries Associated with Underground Coal Mining Equipment in Australia

Burgess-Limerick¹

2011

TOERGJ

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Abstract:In the 3 years to June 30, 2008, 4,633 injuries occurring underground at NSW (Australia) coal mines were reported to the insurer. Equipment was involved in 2149 of these injuries (46%). The narrative field accompanying these reports was examined to determine opportunities for controlling injury risks. The most common equipment types involved were: Continuous miner (12% of all underground injuries); Bolting machines (6%); LHD (8%); Longwall (7%); Personnel Transport (4%); and Shuttle Car (3%). The most common combinations of equipment and mechanism were: strains while handling items associated with continuous miner or bolting machines; strains, or being struck by, or caught between, while drilling or bolting on a continuous miner or bolting machine; driving or traveling over rough roads in a variety of equipment; being struck by while operating Longwall equipment. Rare, but high potential consequence events reported during the period included: interactions between personnel and mobile equipment; interactions between personnel and Longwall shield movements; transport equipment collisions. A range of potential short-term control measures for these risks have been identified, including monorails for continuous miner services; redesign of continuous miner platforms and bolting rigs to reduce reach distances during drilling and bolting; improvements to guarding of bolting controls; standardisation and shape coding of bolting controls; two handed fast-speed drilling & bolting; improvements in underground roadway maintenance, vehicle suspension, visibility and seating; and proximity detection devices interlocked with mobile equipment controls. Longer term control measures include automated bolting, and mesh placement, in conjunction with either non-line-of-sight remote control of, or automated, continuous mining machines.

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“…Ref. [34] established the hazard scenarios for truck drivers during loading/unloading through analyses of 136 text descriptions of accident processes uploaded into NVivo software. This research accessed 97 items of both text and multimedia information related to the Yangmingtan Bridge accident.…”

Section: The Process Of the Accident Analysismentioning

confidence: 99%