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Can organisational safety climate and occupational stress predict work-related driver fatigue

Can organisational safety climate and occupational stress predict work-related driver fatigue. Speaker: Jenny 2008/12/24. Transportation Research Part F 11 (2008) 418–426 Clint Strahan, Barry Watson, Alexia Lennonb. Objective.

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Can organisational safety climate and occupational stress predict work-related driver fatigue

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  1. Can organisational safety climate and occupational stress predict work-related driver fatigue Speaker: Jenny 2008/12/24 Transportation Research Part F 11 (2008) 418–426 Clint Strahan, Barry Watson, Alexia Lennonb

  2. Objective • Evaluate the influence of occupational stress and organizational safety climate on fatigue-related driving behavior • Evaluate whether these variables could predict self-reported near misses that were attributed to driver fatigue

  3. Outline • Objective • Introduction • Method • Results • Conclusions

  4. Introduction • Work-related vehicle crashes have been reported as the leading cause of work-related injury and death in many countries. (Pratt, 2003; Charbotel et al., 2001) • Cost of Crashes: 15 billion • Organizations play an important role in affecting the safety behaviors. • This research focused on high-risk groups such as long distance truck drivers.

  5. Introduction • Driver fatigue: (Stutts et al., 2003) • Sleep • Psychological: anxiety, depression • Personality: sensation seeking • Occupational stress (Cushway, Tyler, & Nolan, 1996) • Physical consumption • Emotional drain • Absenteeism • Reduced efficiency and performance

  6. Introduction • Occupational stressors contribute to decreased driving performance and vigilance, therefore increase in crash risk. (Legree et al., 2003) • Safety climate: perceptions of the way in which the organisation views and manage safety • Safety climate could significantly predict driver safety-related behaviors, like traffic violation, driving error, distraction.

  7. Method • Participants: 219 • Response: 15% (1458 surveys) • Mean age: 42.6 • 53% male + 46.1% female

  8. Method--measures • Control variables • Age, gender, and time spent driving for work per week • Occupational stress • job-related tension scale (JRTS) • 5-point Likert Scale (never—always) • Subjective stress

  9. Method--meaures • Safety climate • Safety climate questionnaire • 7-point Likert scale • 35 items • 6 dimensions (alpha=0.97) • communication and procedures, work pressure, management commitment, relationships, driver training, safety rules

  10. Method--measures • Self-reported, fatigue-related behavior • 5-point scale • Driving after working and insufficient sleep • Alpha= 0.82 • Self-reported, fatigue-related near misses • Question • Whether they had experienced a near misses because of fatigue in past 6 months

  11. Method-- Data analysis • Hierarchical regression analysis • predict fatigue-related driver behavior • control variable • Logistic regression • Predict self-reported near misses

  12. Results

  13. Results

  14. Results

  15. Conclusions • low response rate • work environment influences work-related driver fatigue • Strategy: organizational factors to fatigue risk • Organizations can partly reduce fatigue-related crashes through safety climate and occupational stress. • Management: take active stances in formulating safety policies and showing organizations commitment

  16. Thank You!

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