Details:

Alternative Title:
Multidisciplinary accident investigation : an analysis of drivers most responsible for fatal accidents versus a control sample
Corporate Creators:
Boston University. School of Law
Corporate Contributors:
United States. Department of Transportation. National Highway Traffic Safety Administration
Subject/TRT Terms:
[+]
Crashes Drivers Fatalities High Risk Drivers Impaired Driving, Alcohol Studies
Publication/ Report Number:
DOT-HS-EPX-011
DOI:
https://doi.org/10.21949/1524925
Resource Type:
Research Paper
Geographical Coverage:
United States
Edition:
Final report
Corporate Publisher:
United States. Department of Transportation. National Highway Traffic Safety Administration
Abstract:
Author's abstract: Recently the Boston University Traffic Accident Research Special Study Team has completed the investigation of an experimental driver sample consisting of 267 motor vehicle operators judged to have been most responsible" for a highway fatality in the greater Boston area. Following the field investigations for the experimental sample the Boston team was funded to collect a matched control sample of 801 operators never responsible for a fatal highway accident. The experimental sample was evaluated from two differing perspectives: accident typology and alcohol involvement. The typology results showed 103 (38%) TYPE I accidents where the focal operator was killed; 63 (24%) TYPE II accidents where the focal operator survived the crash which resulted in the death of another vehicular occupant; and, 101 (38%) TYPE III accidents where the focal operator struck and killed a pedestrian. In each case the focus of research was with the focal/"most responsible" operator. In the second evaluation the experimental sample was divided into two segments including: 103 (39%) operators with focal accident alcohol involvement and 164 (61%) operators with no focal alcohol involvement. These sub-experimental samples were analyzed with the 801 control sample operators to establish pre-identification and predictive variables to identify operators who might be potential candidates for a fatal highway accident. The variables most significant in the executed discriminant function analysis included: previous arrests for DWI and speeding, alcohol use patterns, levels of education and occupation. The results detailed a Boston Predictive Formula for identifying potentially high risk operators from the general population.
Format:
PDF
Funding:
DOT-HS-310-3-595
Collection(s):
NHTSA - Behavioral Safety Research
Main Document Checksum:
[+]
urn:sha256:a0305fa319664738ab86726123e387568ad4b60a9e099c9daf60eb6c1bd206e9
Download URL:
https://rosap.ntl.bts.gov/view/dot/1147/dot_1147_DS1.pdf
File Type:

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