Modeling Determinants of Risky Driving Behaviors and Secondary Task Engagement Using Naturalistic Driving Data

Risky driving behaviors (e.g., speeding and reckless driving) and secondary task engagement (e.g., cell phone use and eating–drinking) are associated with an increased probability of crash or near-crash occurrence. With errors in human driver behavior said to be contributing to 94% of traffic crashes on the nation’s highways, there is a need to identify and better understand the determinants of risky driving behaviors and secondary task engagement so that appropriate countermeasures and interventions can be implemented. Traditional crash databases provided very little objective information about specific driver behaviors leading up to a crash. As a result, there is little understanding of the determinants of risky driver behavior and secondary task engagement, particularly in the context of events (crashes or near-crashes). The SHRP 2 Naturalistic Driving Study (SHRP 2 NDS) provides a unique database with full information about driver behaviors and secondary task engagement. Using this database, this study aimed to model the determinants of risky driving behaviors and secondary task engagement within a structural equations modeling framework that accounts for endogeneity (interactions among multiple endogenous variables). Results of this study show that risky driving behaviors and secondary task engagement are significantly influenced by demographics, driver knowledge and disposition, and roadway conditions. Therefore, targeted interventions and awareness campaigns could help mitigate unsafe driving behaviors.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: pp 41-56
  • Monograph Title: SHRP 2 Safety Data Student Paper Competition 2017–2019
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01702873
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Apr 23 2019 9:09AM