Survey-Weighted ROC Analysis of Drowsy Driving Accidents in the General Estimates System (GES)

• Activity Number: 416
• Type: Topic Contributed
• Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
• Sponsor: Government Statistics Section
• Author(s): Nooreen Dabbish* and Chen Chen and Patrick Coyle
• Companies: and Prosoft Clinical and Temple University Fox School of Business
• Keywords: ROC ; survey sampling ; sleep ; human factors ; fatality ; circadian behavior ; circadian behavior

Abstract

The incidence of driving accidents due to human error is an important topic in the field of public health research. In particular, accidents due to drowsy driving are of concern to the whole population and might be considered preventable. Our study investigates the 1,029 self-reported drowsy driving accidents in 2014 as recorded in the General Estimates System (GES) from the Department of Transportation. This study seeks to understand the relationship between drowsy driving and conditional risk of fatality among different subpopulations and how this relationship changes depending on the time of day. We are exploring these interactions using recent developments in survey-weighted ROC analysis. By doing so, we hope to offer employers and government agencies insight into what can be done to reduce the rate of fatalities, especially those involving drowsy driving accidents.