01702873

Component

http://www.trb.org/Main/Blurbs/179026.aspx

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.

01702870

English

pp 41-56

2019-1

Transportation Research Circular

Digital/other

Figures; References; Tables

Automatic data collection systems; Behavior; Cellular telephones; Distraction; Driving; Human factors in crashes; Multitasking; Risk taking

Strategic Highway Research Program 2

Highways; Safety and Human Factors

TRIS, TRB, ATRI

Apr 23 2019 9:09AM

• Beyond Safety: Utilizing SHRP 2 NDS Data to Model Vehicular Emissions from Passenger Cars at Work Zones Using Vehicle-Specific Power and Operating Mode Distribution Approach
• Identifying Association Between Level of Safety of Events and Driver Characteristics: A Market Basket Analysis
• Interchange Deceleration Lane Design Based on Naturalistic Driving Speeds and Deceleration Rates