Fatal red light crashes: the role of race and ethnicity.
There is an increasing number of motor vehicle crashes (MVCs) in the U.S. that occur at intersections. Noncompliance with traffic signals is one of the causes for such increase. In this study, we focused on Hispanic drivers. It has been shown that failing to follow traffic laws and regulations is a major cause of MVCs in Latin America. Does this driving behavior in Latin America correspond to the Hispanic community in the U.S.? Are U.S. Hispanics more likely to die in a red light incident? Are Hispanics more likely to be red light runners than other racial/ethnic groups in the U.S.? We answered these questions by taking advantage of a 1990-1996 Fatality Analysis Reporting System (FARS) file with additional racial/ethnic information. Overall, we found no differences between African-American, White, and Hispanic drivers regarding red light running. We found that drinking and driving was the most important factor for red light running. However, we found evidence that some Hispanic subgroups may be more vulnerable to red light running. One such subgroup is formed by Hispanics who have no valid driver license and no record of previous driver license suspension. This study is the first to apply national, archival data to document the relevance of race/ethnicity to the red light running problem, and we hope that it might serve as an incentive for more research on this area.
Romano
Eduardo
E
Pacific Institute for Research and Evaluation, 11710 Beltsville Dr., Suite 300, Calverton, MD 20705-3102, USA. romano@pire.org
Tippetts
Scott
S
Voas
Robert
R
D000063:Accidents, Traffic / Q000401:mortality*; D001741:Black or African American / Q000706:statistics & numerical data; D017677:Age Distribution; D000368:Aged; D000428:Alcohol Drinking / Q000453:epidemiology; D001334:Automobile Driving / Q000706:statistics & numerical data*; D015984:Causality; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D015233:Models, Statistical; D015995:Prevalence; D012307:Risk Factors; D012622:Seat Belts / Q000706:statistics & numerical data; D017678:Sex Distribution; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data; D014947:Wounds and Injuries / Q000208:ethnology* / Q000401:mortality*