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Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications. Overview: On-shift safety is critical but . . . Safety is more than on-shift Funding to examine driving and SW: Why? Number of risk factors Shiftwork + Time-of-day + Task Growth in 12h & relocation effect.
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Lee Di Milia; PhD Drive-in drive-out workforce: Extent and implications.
Overview: • On-shift safety is critical but . . . • Safety is more than on-shift • Funding to examine driving and SW: Why? • Number of risk factors • Shiftwork + Time-of-day + Task • Growth in 12h & relocation effect
Risk Factors: • Shiftwork • Human biology is diurnal & hard-wired; Eg: body temp; cortisol; melatonin; mood & performance • SW disrupts synchrony & pacemaker is inflexible conflicting messages • sleep drive but cortisol & body temp
Health impacts of SW: • Physiological; Psychological; Social • Sleep after NS 2-4h less than day • Mood; Impaired performance • RT; attention lapses • Self paced work (Smith, 1994) • Fatigue & sleepiness
3: Driving task: • Monotonous • ‘Boring’ environment • Unforgiving roads • Summary: Sleep loss + TOD + Task • Driving – sensitive to sleep loss & bio demands
Evidence to date: • Long hours & driving do not mix • Medical students; manufacturing • SW + 12h risk of fall asleep compared to DW • < 6h sleep: driving impairment • attention lapses, lane drift • No studies of LDD & SW
Study: • Surveyed 1600 drivers; Capricorn & Peak Downs H’way • Between 08 – 10 • Some 21% of traffic flow • Work, travel and fatigue
Results: • Two excluded for BAC ≥ 0.05 • 12% SW; Miners = 93% • 30% 4x12h NS; 29% 2x12 NS (Range = 1–14) • One-way travel 211 km (max 655 km) • 19 drivers between shifts – 581km • One driver; left at 02:00 to drive 1300
Results: • ≥ 7; SW = 19%; NSW = 1%
Results: • 13% fell asleep driving to DS • 23% fell asleep driving from NS • Fall asleep linked with lane drifting • Linked to <6h sleep • Return travel – bi modal
Discussion: • Long distances driven post NS • Some indicators of increased accident risk but none reported!! • Simulator studies show ≥7 with increased accidents • Seems that shift schedule drives travel pattern • Expect DIDOW estimate to be higher?
Solutions: • Education • Sleep facility • Modify schedule design • Transport arrangements