Understanding truck driver behavior with respect to cell phone use and vehicle operation
•Factors affecting truck drivers’ decision to report using a cell phone while driving are determined.•Random parameters logit model is applied to account for unobserved heterogeneity.•Factors related to fatigue and truck parking are found to affect the decision to use a cell phone while driving.•Saf...
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Veröffentlicht in: | Transportation research. Part F, Traffic psychology and behaviour Traffic psychology and behaviour, 2019-08, Vol.65, p.389-401 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Factors affecting truck drivers’ decision to report using a cell phone while driving are determined.•Random parameters logit model is applied to account for unobserved heterogeneity.•Factors related to fatigue and truck parking are found to affect the decision to use a cell phone while driving.•Safety training should be modified to aid in reducing cell phone use while driving.•Potential solutions regarding cell phone use while driving are provided.
Distracted driving continues to pose threats to transportation safety as it impairs driver performance and increases crash risk. In recent years, cell phone use while driving has become the primary research interest regarding distracted driving. However, the majority of this research has focused on the prevalence and risks of such behavior in passenger car drivers and few have investigated its effect on the performance of drivers of large trucks. Due to the inherent job responsibilities, truck drivers are more susceptible to use a cell phone, or other communication devices (e.g., CB radio), while driving to coordinate delivery logistics. The purpose of this study is to further understand distracted driving in the context of large trucks by identifying the factors that contribute to large truck drivers’ decision to report using a cell phone while operating a commercial motor vehicle. Through survey data collected in 2017 from drivers of large trucks who either pick-up or deliver goods in the Pacific Northwest (Oregon, Washington, Idaho, British Columbia), a random parameters binary logit model is used to identify these factors. Of the 515 respondents, 234 (45%) indicated that they use a cell phone while driving. Through the random parameters binary logit model, unobserved heterogeneity is captured, and specific driver behaviors, demographic, work, temporal, and management characteristics are found to affect the likelihood of truck drivers reporting to use their cell phone while driving. Of particular interest, are carrier management characteristics and safety training. Carriers who manage fatigue by imposing schedules to make it easier to take breaks result in a decrease in probability of drivers reporting cell phone use, while carriers who restrict the number of hours worked decreased the probability of reporting cell phone use for the majority of drivers. In addition, having participated in road safety driving resulted in a decrease in probability of reporting cell phone use for the majority of drivers. Such f |
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ISSN: | 1369-8478 1873-5517 |
DOI: | 10.1016/j.trf.2019.07.010 |