An investigation of the relationship between the driving behavior questionnaire and objective measures of highway driving behavior

The Relation Between the Driver Behavior Questionnaire, Demographics, and Driving History

“…The finding that DBQ violations scores are associated with increased odds of having been a driver in a crash, and errors and lapses scores showing lower or non-significant relationships, is in line with previous findings (see review in Zhao et al 2012). Similarly, it has previously been reported that age and gender tend to be related to DBQ scores as well as with crash rates; younger drivers and males tend to have higher DBQ violation scores, whereas women and older drivers tend to show higher error scores (Kontogiannis, et al, 2002;Reason, et al, 1990).…”

“…Similarly, it has previously been reported that age and gender tend to be related to DBQ scores as well as with crash rates; younger drivers and males tend to have higher DBQ violation scores, whereas women and older drivers tend to show higher error scores (Kontogiannis, et al, 2002;Reason, et al, 1990). Thus, as Zhao et al (2012) noted, a consideration of the distribution of these demographic factors is likely important in interpreting findings from specific datasets and may partially explain some reports of contradictory or non-significant relationships. This highlights the value of reference to a broad age distribution and a relatively well-balanced gender sample when the goal is to develop an understanding of relationships across the driving population.…”

“…One stream of research focuses on using objective measurements of driving performance under laboratory conditions, in field experiments, or in a naturalistic environment (e.g., Klauer et al, 2006), while another stream focuses on subjective measurements of driving behaviour using surveys or questionnaires (e.g., Zhao et al, 2012;Chen et al, 2016). The present study focuses on the latter stream by exploring the relationships between self-reported driving history and self-reported driving behaviors while controlling for driver age and gender, factors that are significantly related to driver behavior and crash likelihood.…”

“…The present study focuses on the latter stream by exploring the relationships between self-reported driving history and self-reported driving behaviors while controlling for driver age and gender, factors that are significantly related to driver behavior and crash likelihood. Driving behaviors are assessed through the Driver Behaviour Questionnaire (DBQ), an instrument widely used in driving research (de Winter & Dodou, 2010;Lee, Reimer, Mehler, & Coughlin, 2016;Parker, McDonald, Rabbitt, & Sutcliffe, 2000;Parker, West, Stradling, & Manstead, 1995;Reimer et al, 2005;Stephens & Groeger, 2009;Zhao et al, 2012;Zhao, Reimer, Mehler, D'Ambrosio, & Coughlin, 2013). A U.S. version of the DBQ (see Reimer et al, 2005) is used, which consists of 24 questions and three sub-scales (Errors: misjudgements or failures of observation that could be hazardous to others, Lapses: absent-minded behaviors which may be frustrating or have negative consequences for the driver responsible, but generally do not pose a threat to anyone's safety, and Violations: deliberate contraventions of legally regulated or socially accepted behaviors associated with safe vehicle operation).…”

Are young drivers as careful as they deem? In vehicle data recorders and self reports evaluations

“…More specifically, we focused on the relation between these two approaches and on the ability to use them in a complementary manner in order to improve the evaluation of driving behavior. Recent literature suggests the potential strength of combining both technology-based and traditional approaches (see, for example, [4,30]). …”