Effects of driver work-rest patterns, lifestyle and payment incentives on long-haul truck driver sleepiness

•Driving continuously for more than 6 h heavily increased the odds of driver sleepiness.•Partially sleep deprived drivers (sleeping ≤4 h daily) were at high risk of drowsiness.•Driving under the influence of financial incentives increased the odds of falling asleep by 1.58 times.•Driver alertness re...

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Veröffentlicht in:Transportation research. Part F, Traffic psychology and behaviour Traffic psychology and behaviour, 2019-01, Vol.60, p.366-382
Hauptverfasser: Mahajan, Kirti, Velaga, Nagendra R., Kumar, Akhilesh, Choudhary, Alok, Choudhary, Pushpa
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Sprache:eng
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Zusammenfassung:•Driving continuously for more than 6 h heavily increased the odds of driver sleepiness.•Partially sleep deprived drivers (sleeping ≤4 h daily) were at high risk of drowsiness.•Driving under the influence of financial incentives increased the odds of falling asleep by 1.58 times.•Driver alertness reduced with higher intake of caffeine and tobacco while driving.•Frequent violators of traffic rules showed increased risk of drowsiness on the wheel. The aim of the study is to identify and model the role of payment incentives, driver work-rest patterns and other lifestyle habits influencing the drowsy driving behavior among long-haul truck drivers. To achieve this aim, this study targeted two main objectives: (1) to examine the significant differences between the groups of drowsy and non-drowsy drivers based on the opportunities of monetary incentives and (2) to examine the role of different factors: driver demographics, work-rest patterns, lifestyle and occupational characteristics particularly incentives associated with driving in causing driver sleepiness among Indian truck drivers. The study is based on interview responses from 453 long-haul truck drivers approached in three Indian cities – Mumbai, Indore and Nagpur. Initial principal component analysis of the responses related to financial incentives (occupational characteristics) resulted into two correlated factors: (i) willingness to earn extra payments if offered (WEP) and (ii) incentives available in the current driving experience (ICD) that influence driver work-rest patterns and alertness while driving. Kruskal-Wallis test showed a significant difference among the groups of sleepy and non-sleepy drivers due to these factors (WEP and ICD). Finally, a logistic regression model showed that long driving duration, working days per week, rest patterns, insufficient sleeping hours and history of violations were found significantly associated with drowsy driving among the long-haul truck drivers. Increase in consumption of caffeine and tobacco indicated reduction in driver alertness. According to the model results, the odds of drowsy driving were 77% less for drivers between 46 and 55 years compared to the young drivers (
ISSN:1369-8478
1873-5517
DOI:10.1016/j.trf.2018.10.028