Citation

Evans A, Benedetti MH, Chang G, Shoots-Reinhard B, Chen Z, Smith GA, Zhu M. Traffic Injury Prev. 2024; 25(2): 133-137.

Copyright

(Copyright © 2024, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2023.2278412

PMID

38165202

Abstract

OBJECTIVE: Those who study motor vehicle crashes may rely on counts of licensed drivers to estimate crash, injury, or fatality rates. These counts may be obtained from the U.S. Department of Transportation Federal Highway Administration's (FHWA) annual Highway Statistics Series or directly from state driver licensing agencies. However, previous studies have questioned the accuracy of these counts provided by the FHWA.

METHODS: To investigate this issue, we compared counts of licensed drivers from the FHWA and state licensing agencies in 11 states, categorized by sex and age group, from 2013 through 2017. We then assessed the impact of any potential differences by fitting two sets of Poisson regression models to estimate age- and sex-based driver fatality rate ratios. One set of models used counts from the FHWA as the offset and the other used counts from state licensing agencies.

RESULTS: Our analysis found that the differences between FHWA and state counts varied markedly. Seven states had substantial differences for at least one age group that spanned the entire study period. In several cases, these differences in license counts were large enough to produce directly contradictory driver fatality rate ratio estimates when comparing age groups.

CONCLUSIONS: These findings highlight the continued concern regarding the accuracy of licensed driver counts from the FHWA and extend previous studies by illustrating the impact of using FHWA counts on statistical inference. We recommend against using these data for traffic safety research or policy evaluation. Nevertheless, we acknowledge the need for a centralized, easily accessible database for licensed driver data.

Language: en

Keywords

Humans; Driver licensing; Databases, Factual; *Automobile Driving; *Accidents, Traffic; driver fatality; driving data quality; exposure estimation; Government Agencies; Licensure