Understanding commercial truck drivers' decision-makin process concerning distracted driving.
A concurrent mixed methods design was used to explore personal and workplace factors, informed by the Theory of Planned Behavior, that affect truck drivers' decision-making about distracted driving on the job. Qualitative data were collected via semi-structured interviews with experts in truck safety and distracted driving, and quantitative data were collected via online survey of truck drivers in the United States. Findings from the interviews illustrated how drivers perceived distractions and the importance of supervisors enforcing organizational distracted driving policies. Survey results found that behavioral intentions were most important in regards to texting and crash and near-crash outcomes, while perceived norms from management best described the correlation between dispatch device use and negative crash-related outcomes. By using a mixed methods design, rather than two separate studies, these findings revealed nuanced differences into the influence of supervisors on distracted driving.
Center for Injury Research and Policy, Johns Hopkins Bloomberg School of Public Health, Hampton House Rm 554, 624 N. Broadway, Baltimore, MD, USA; Environmental and Occupationl Health Sciences, University of Illinois at Chicago School of Public Health, Chicago, IL, USA. Electronic address: swedler@uic.edu.
David I
DI
Swedler
Center for Injury Research and Policy, Johns Hopkins Bloomberg School of Public Health, Hampton House Rm 554, 624 N. Broadway, Baltimore, MD, USA.
Keshia M
KM
Pollack
Center for Injury Research and Policy, Johns Hopkins Bloomberg School of Public Health, Hampton House Rm 554, 624 N. Broadway, Baltimore, MD, USA.
Andrea C
AC
Gielen
D000328:Adult; D001294:Attitude to Health; D001334:Automobile Driving / Q000523:psychology*; D003625:Data Collection; D003657:Decision Making; D004784:Environmental Monitoring; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018986:Motor Vehicles; D016272:Occupational Health; D014481:United States
Mixed methods; Occupational health; Texting; Theory of planned behavior