Trends in Fatalities From Distracted Driving in the United States, 1999 to 2008

Wilson, Fernando A.; Stimpson, Jim P.

doi:10.2105/ajph.2009.187179

Cited by 285 publications

(153 citation statements)

References 20 publications

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“…2 As inexperienced drivers, teenagers commonly make errors that contribute to their high crash rate, including driving too fast for conditions, inadequate visual scanning of the road (driver is paying attention to driving but fails to see a hazard), and driving while distracted. [3][4][5] Distracted driving occurs when a driver diverts attention away from the driving task and instead to "an object, person, task, or event not related to driving." 6 As teenage cell phone ownership and texting have become ubiquitous in the United States, 7,8 distracted driving because of texting while driving (TWD) has emerged as an important teenage driver safety issue.…”

Section: Resultsmentioning

confidence: 99%

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

2013

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WHAT'S KNOWN ON THIS SUBJECT: Distracted driving due to texting while driving (TWD) has emerged as an important teenage safety issue. Previous studies have shown that the self-reported prevalence of TWD among teenagers varies widely. WHAT THIS STUDY ADDS:In 2011, 45% of US high school students aged $16 years reported TWD during the past 30 days. TWD was positively associated with other risky motor vehicle behaviors; this association strengthened as frequency of TWD increased. abstract OBJECTIVE: To assess the prevalence of texting/e-mailing while driving (TWD) and association of TWD with other risky motor vehicle (MV) behaviors among US high school students.METHODS: Data were used from the Centers for Disease Control and Prevention' s 2011 national Youth Risk Behavior Survey, which assessed TWD during the 30 days before the survey among 8505 students aged $16 years from a nationally representative sample of US high school students. TWD frequency was coded into dichotomous and polychotomous variables. Logistic regression assessed the relationship between TWD and other risky driving behaviors, controlling for age, race/ethnicity, and sex. RESULTS:The prevalence of TWD on $1 days during the 30 days before the survey was 44.5% (95% confidence interval: 40.8%-48.2%). Students who engaged in TWD were more likely than their non-TWD counterparts to not always wear their seatbelt (prevalence ratio; 95% confidence interval: 1.16; 1.07-1.26), ride with a driver who had been drinking alcohol (1.74; 1.57-1.93), and drink alcohol and drive (5.33; 4.32-6.59). These other risky MV behaviors were most likely to occur among students who frequently engaged in TWD.CONCLUSIONS: Nearly half of US high school students aged $16 years report TWD during the past 30 days; these students are more likely to engage in additional risky MV behaviors. This suggests there is a subgroup of students who may place themselves, their passengers, and others on the road at elevated risk for a crash-related injury or fatality by engaging in multiple risky MV behaviors. Pediatrics

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Section: Resultsmentioning

confidence: 99%

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

2013

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“…This synthesis of driving performance research is convergent with the naturalistic, self-report and epidemiological research on texting and driving (Olson, Hanowski, Hickman & Sudweeks, 2009;Tison, Chaudhary & Cosgrove, 2011;Wilson & Stimpson, 2010). The accumulated evidence across research approaches for the safety costs of text messaging while driving is uniformly negative, unequivocal and convergent.…”

Section: Discussionmentioning

confidence: 52%

“…Wilson and Stimpson (2010) conducted a multivariate regression analysis of the FARS database (Fatality Accident Reporting System, U.S.) and found that the percent of total fatalities from distracted driving increased from 10.9 percent in 1999 to 15.8 percent in 2008. The increase in fatalities from 2002 to 2007 is likely the result of year over year increases in text messaging while driving: the study concluded that an estimated 16,141 additional fatalities resulted from texting while driving for that time period.…”

Section: Introductionmentioning

confidence: 99%

A Research Synthesis of Text Messaging and Driving Performance

Caird

Johnston

Willness

et al. 2013

Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary:To determine the effects of text messaging on driving performance, all available experimental studies that measured driving performance were identified through a variety of database searches and backtracking strategies, and analyzed using standard research synthesis methods. Fourteen studies with a total of 519 participants were coded and analyzed. Methodology, independent and dependent variables, and statistical analyses varied widely across studies, but conclusions were clear and convergent. Reaction time, crashes, longitudinal and lateral control, eye movements, hazard detection and subjective workload measures indicate significant decrements in driving performance while reading and typing text messages. The importance of the results for further policy development and methodological reporting is briefly introduced.

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“…The most comprehensive source for fatal crash data for the United States is the FARS maintained by the National Highway Traffic Safety Administration. FARS data come from a variety of sources including police reports, state registration files, state licensing files, vital statistics, death certificates, hospital records, and emergency medical or autopsy records (Wilson & Stimpson 2010). To be reported as a fatal crash in the FARS system, a crash-related death or deaths must occur within 30 days of the crash.…”

Section: Data Sources and Methodologymentioning

confidence: 99%

Rainfall impacts on traffic safety: rain-related fatal crashes in Texas

Jackson

Sharif

2014

Geomatics, Natural Hazards and Risk

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This study uses fatal crash data and geospatial analysis to examine the temporal and spatial distribution of rain-related fatal crashes in Texas from 1982 to 2011. The data were obtained from the Fatality Analysis Reporting System maintained by the National Highway Traffic Safety Administration. The GetisÀOrd G i Ã (d i ) statistic was used to identify spatial clustering patterns of rain-related fatal crashes and their correlation with rainfall and compare them to spatial patterns of other crashes. The spatial statistical analysis reveals spatial patterns for rainrelated crashes that are clustered in different areas at different levels of confidence. The temporal variability of raw and normalized fatal crashes and rain-related crashes was also investigated at the state level. Although the population of Texas increased by more than 67% over the study period, with a corresponding increase in the number of vehicles, the fatal crashes and rainrelated crashes in Texas did not increase but decreased instead. Results suggest that rain is a contributor to crashes in few counties but at less than 95% confidence in some of the wetter counties. These counties should be the focus of further research and detailed analysis to identify underlying crash contributing factors such that safety countermeasures can be developed.

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Trends in Fatalities From Distracted Driving in the United States, 1999 to 2008

Cited by 285 publications

References 20 publications

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

Texting While Driving and Other Risky Motor Vehicle Behaviors Among US High School Students

A Research Synthesis of Text Messaging and Driving Performance

Rainfall impacts on traffic safety: rain-related fatal crashes in Texas

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