A regionalised strategy for improving motor vehicle-related highway driver deaths using a weighted averages method

Objective The state of Florida has some of the most dangerous highways in the USA. In 2006, Florida averaged 1.65 fatalities per 100 million vehicle miles travelled (VMT) compared with the national average of 1.42. A study was undertaken to find a method of identifying counties that contributed to the most driver fatalities after a motor vehicle collision (MVC). By regionalising interventions unique to this subset of counties, the use of resources would have the greatest potential of improving statewide driver death. Methods The Florida Highway Safety Motor Vehicle database 2000–2006 was used to calculate driver VMT-weighted deaths by county. A total of 3 468 326 motor vehicle crashes were evaluated. Counties that had driver death rates higher than the state average were sorted by a weighted averages method. Multivariate regression was used to calculate the likelihood of death for various risk factors. Results VMT-weighted death rates identified 12 out of 67 counties that contributed up to 50% of overall driver fatalities. These counties were primarily clustered in central and south Florida. The strongest independent risk factors for driver death attributable to MVC in these high-risk counties were alcohol/drug use, rural roads, speed limit ≥45 mph, adverse weather conditions, divided highways, vehicle type, vehicle defects and roadway location. Conclusions Using the weighted averages method, a small subset of counties contributing to the majority of statewide driver fatalities was identified. Regionalised interventions on specific risk factors in these counties may have the greatest impact on reducing driver-related MVC fatalities.

[1]  James R. Anderson,et al.  Rural motor vehicle crash risk of death is higher after controlling for injury severity. , 2007, The Journal of trauma.

[2]  G. Guyatt,et al.  The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. , 2002, Accident; analysis and prevention.

[3]  Hoong Chor Chin,et al.  Modeling fault among motorcyclists involved in crashes. , 2009, Accident; analysis and prevention.

[4]  Michael Marmor,et al.  Slippery road conditions and fatal motor vehicle crashes in the northeastern United States, 1998-2002. , 2006, American journal of public health.

[5]  A. Williams,et al.  Temporal factors in motor vehicle crash deaths , 2005, Injury Prevention.

[6]  T S Zobeck,et al.  Alcohol involvement in fatal traffic crashes in the United States: 1979-90. , 1994, Addiction.

[7]  S P Baker,et al.  Geographic variations in mortality from motor vehicle crashes. , 1987, The New England journal of medicine.

[8]  Silvio Brusaferro,et al.  Risk factors for fatal road traffic accidents in Udine, Italy. , 2002, Accident; analysis and prevention.

[9]  Gentiana Qirjako,et al.  Factors associated with fatal traffic accidents in Tirana, Albania: cross-sectional study. , 2008, Croatian medical journal.

[10]  H. Brodsky,et al.  Highway fatal accidents and accessibility of emergency medical services. , 1983, Social science & medicine.

[11]  D. Clark,et al.  Predicting regional variations in mortality from motor vehicle crashes. , 1999, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[12]  Elihu D Richter,et al.  Death and injury from motor vehicle crashes: a tale of two countries. , 2005, American journal of preventive medicine.

[13]  John Van Hoewyk,et al.  A multivariate technique for multiply imputing missing values using a sequence of regression models , 2001 .

[14]  Darwin Ang,et al.  An approach to the use of state crash and fatality registries. , 2010, Surgery.

[15]  D Hemenway,et al.  Effectiveness of a law to reduce alcohol-impaired driving in Japan , 2008, Injury Prevention.

[16]  Noel S. Weiss,et al.  Disease Frequency: Advanced , 2004 .

[17]  R N Green,et al.  A study of injury-producing crashes on median divided highways in southwestern Ontario. , 1995, Accident; analysis and prevention.

[18]  P. Weninger,et al.  Factors influencing the injury pattern and injury severity after high speed motor vehicle accident--a retrospective study. , 2007, Resuscitation.

[19]  A. Shibata,et al.  Risk factors of fatality in motor vehicle traffic accidents. , 1994, Accident; analysis and prevention.

[20]  Shahid Shafi,et al.  A nationwide speed limit < or = 65 miles per hour will save thousands of lives. , 2007, American journal of surgery.

[21]  J. Zhang,et al.  drivers in Ontario . vehicle traffic crashes involving young Factors affecting the severity of motor , 2022 .

[22]  J. Hendrikz,et al.  Speed enforcement detection devices for preventing road traffic injuries. , 2006, The Cochrane database of systematic reviews.

[23]  D. Cohen,et al.  The population consumption model, alcohol control practices, and alcohol-related traffic fatalities. , 2002, Preventive medicine.

[24]  R. Gonzalez,et al.  Does increased emergency medical services prehospital time affect patient mortality in rural motor vehicle crashes? A statewide analysis. , 2009, American journal of surgery.

[25]  Anders Kullgren,et al.  The Effectiveness of Electronic Stability Control (ESC) in Reducing Real Life Crashes and Injuries , 2006, Traffic injury prevention.