Search PubMed⌕ Search

PubMed · 15912702

Speed kills.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Claire Picton. 2005. Speed kills.. https://doi.org/10.7748/en.13.2.1.s1

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Risk of vehicle-pedestrian and vehicle-bicyclist collisions among children with disabilities.

OBJECTIVES: To examine the potential association between disability and risk of vehicle-pedestrian and vehicle-bicyclist collisions among children. METHODS: Data from the 2002 National Transportation Availability and Use Survey for Persons with Disabilities (NTAUSPD) were analyzed. RESULTS: Among 5019 persons who completed the survey, there were a total of 687 children between 5-17 years of age, including 299 respondents with and 388 without disabilities. After controlling for potential confounding variables, children with disabilities were more than five times more likely to have been hit by a motor vehicle as a pedestrian or bicyclist than children without disabilities (adjusted OR = 5.53, 95% confidence interval (CI): 1.43-21.41). For all children, regardless of their disability status, children who reported having some difficulty with traffic had a significantly higher risk of collisions (adjusted OR = 50.71, 95% CI: 7.35-349.86). The most commonly reported traffic difficulties for all children with and without disabilities were "Too few or missing sidewalks/paths," "Do not know when it's safe to cross," and "Insensitive/unaware drivers." CONCLUSIONS: Existing effective transportation safety interventions should be effective in reducing the risk of vehicle-pedestrian and vehicle-bicyclist collisions in children with disabilities. Future research and safety interventions should focus on how to promote the use of existing effective transportation safety interventions among children with disabilities and their families.

Accidents, Traffic↗

The economic costs of road traffic crashes: Australia, states and territories.

In this paper, we obtain detailed data on road traffic crash (RTC) casualties, by severity, for each of the eight state and territory jurisdictions for Australia and use these to estimate and compare the economic impact of RTCs across these regions. We show that the annual cost of RTCs in Australia, in 2003, was approximately Dollars 17 b, which is approximately 2.3% of the Gross Domestic Product (GDP). Importantly, though, there is remarkable intra-national variation in the incident rates of RTCs in Australia and costs range from approximately 0.62 to 3.63% of Gross State Product (GSP). The paper makes two fundamental contributions: (i) it provides a detailed breakdown of estimated RTC casualties, by state and territory regions in Australia, and (ii) it presents the first sub-national breakdown of RTC costs for Australia. We trust that these contributions will assist policy-makers to understand sub-national variations in the road toll better and will encourage further research on the causes of the marked differences between RTC outcomes across the states and territories of Australia.

Accidents, Traffic↗

Awareness of driving while sleepy and road traffic accidents: prospective study in GAZEL cohort.

OBJECTIVES: To examine the association between self assessed driving while sleepy and the risk of serious road traffic accidents (RTAs). DESIGN: Prospective cohort study. SETTING: France. PARTICIPANTS: 13 299 of the 19 894 living members of the GAZEL cohort, workers and recent retirees of a French national utility company followed up since 1989. MAIN OUTCOME MEASURES: Frequency of driving while sleepy in the previous 12 months, reported in 2001; rate ratios for serious RTAs in 2001-3, estimated by using generalised linear Poisson regression models with time dependent covariates. RESULTS: The risk of serious RTAs increased proportionally with the frequency of self reported driving while sleepy. After adjustment for sociodemographic characteristics, driving behaviour variables, work conditions, retirement, medical conditions and treatments, depressive symptoms, and sleep disorders, the adjusted rate ratios of serious RTAs for participants who reported driving while sleepy in the previous 12 months "a few times" or "once a month or more often" were 1.5 (95% confidence interval 1.2 to 2.0) and 2.9 (1.3 to 6.3) respectively compared with those who reported not driving while sleepy over the same period. These associations were not explained by any reported sleep disorders. CONCLUSIONS: Self assessed driving while sleepy was a powerful predictor of serious RTAs, suggesting that drivers' awareness of their sleepiness while driving is not sufficient to prevent them from having RTAs. Messages on prevention should therefore focus on convincing sleepy drivers to stop driving and sleep before resuming their journey.

Accidents, Traffic↗