Undercounting of large trucks in federal and state crash databases: Extent of problem and how to improve accuracy of truck classifications
Autor: | Elisa R. Braver, Ivan Cheung |
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Rok vydání: | 2015 |
Předmět: |
Truck
Engineering Databases Factual Poison control Crash computer.software_genre Body type Transport engineering 0502 economics and business Humans 0501 psychology and cognitive sciences Crash data 050107 human factors 050210 logistics & transportation Database business.industry 05 social sciences Public Health Environmental and Occupational Health Fatality Analysis Reporting System Accidents Traffic Vehicle identification United States Motor Vehicles Data quality business Safety Research computer |
Zdroj: | Traffic injury prevention. 17(2) |
ISSN: | 1538-957X |
Popis: | Prior research suggested that single-unit trucks are undercounted when using vehicle body codes in the Fatality Analysis Reporting System (FARS). This study explored the extent of the misclassification and undercounting problem for crashes in FARS and state crash databases.Truck misclassifications for fatal crashes were explored by comparing the Trucks Involved in Fatal Accidents (TIFA) database with FARS. TIFA used vehicle identification numbers (VINs) and survey information to classify large trucks. This study used VINs to improve the accuracy of large truck classifications in state crash databases from 5 states (Delaware, Maryland, Minnesota, Nebraska, and Utah).The vehicle body type codes resulted in a 19% undercount of single-unit trucks in FARS and a 23% undercount of single-unit trucks in state databases. Tractor-trailers were misclassified less often. Misclassifications occurred most frequently among single-unit trucks in the weight classes of 10,001-14,000 pounds.The amount of misclassification of large trucks is large enough to potentially affect federal and state decisions on traffic safety. Using information from VINs results in more complete and accurate counts of large trucks involved in crashes. The National Transportation Safety Board recommended actions to improve federal and state crash data. |
Databáze: | OpenAIRE |
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