IDENTIFYING "UNSAFE" TRUCKING FIRMS
This paper investigates the effectiveness of government programs that collect information to identify motor carriers that pose the greatest threat to safety. Negative binomial regression techniques are used to establish the relationships of firm characteristics, ratings in government management safety audits, and inspections of vehicles at the roadside to accident rates for 20,000 firms. The management safety audits and the vehicle inspections both contribute to the identification of firms with the greatest potential for being involved in serious accidents.
- This study was funded by a grant from the U.S. Department of Transportation's University Transportation Centers Program.
Northwestern University, EvanstonDepartment of Economics, 2003 Sheridan Road
Evanston, IL United States 60208
- Moses, L N
- Savage, I
- Publication Date: 1994-9
- Features: Figures; References; Tables;
- Pagination: 15 p.
- TRT Terms: Crash rates; Crash risk forecasting; Identification systems; Inspection; Motor carriers; Motor vehicles; Risk assessment; Safety audits; Trucking
- Uncontrolled Terms: Identification; Violations
- Subject Areas: Freight Transportation; Highways; Motor Carriers; Safety and Human Factors; I80: Accident Studies;
- Accession Number: 00674255
- Record Type: Publication
- Report/Paper Numbers: GLCTTR 52/92-02
- Contract Numbers: DTRS92-G-0005
- Files: TRIS
- Created Date: Feb 9 1995 12:00AM