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Crash Data (crash + data)

Distribution by Scientific Domains

Medical Sciences	100%

Selected Abstracts

Characteristics of Crashes With Farm Equipment That Increase Potential for Injury

THE JOURNAL OF RURAL HEALTH, Issue 4 2007
Corinne Peek-Asa MPH
ABSTRACT:,Context:Crash fatality and injury rates are higher on rural roadways than other roadway types. Although slow-moving farm vehicles and equipment are risk factors on rural roads, little is known about the characteristics of crashes with farm vehicles/equipment.Purpose:To describe crashes and injuries for the drivers of farm vehicles/equipment and non-farm vehicles involved in an injury crash. Passengers are not included in this analysis.Methods:Injury crashes were included that involved a farm vehicle/equipment and at least one non-farm vehicle reported in Iowa Department of Transportation crash data from 1995 to 2004. Odds ratios were calculated through logistic regression to identify increased odds for injury among drivers of non-farm vehicles and farm vehicles/equipment. We examined frequently occurring crash characteristics to identify crash scenarios leading to the highest odds for injury.Findings:Non-farm vehicle drivers were 5.23 times more likely to be injured than farm vehicle/equipment drivers (95% CI = 4.12,6.46). The absence of restraint use was a significant predictor of injury for both farm vehicle/equipment drivers (OR = 2.85; 95% CI = 1.14,7.13) and non-farm vehicle drivers (OR = 2.53; 95% CI = 1.54,4.15). Crash characteristics increasing the odds of injury for non-farm vehicle drivers included speeding, passing the farm vehicle/equipment, driving on a county road, having a frontal impact collision, and crashing in darkness. Ejection was the strongest predictor of injury for the farm vehicle/equipment driver.Conclusion:Non-farm vehicle drivers were much more likely to be injured than farm vehicle/equipment drivers, suggesting that farm vehicle/equipment crash prevention should be a priority for all rural road users. Prevention strategies that reduce motor vehicle speed, assist in safe passing, increase seat belt use, and increase conspicuousness of the farm vehicle/equipment are suggested. [source]

Estimating fatality rates in occupational light vehicle users using vehicle registration and crash data

AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 2 2010
Rwth Stuckey
Abstract Objective: To estimate occupational light vehicle (OLV) fatality numbers using vehicle registration and crash data and compare these with previous estimates based on workers' compensation data. Method: New South Wales (NSW) Roads and Traffic Authority (RTA) vehicle registration and crash data were obtained for 2004. NSW is the only Australian jurisdiction with mandatory work-use registration, which was used as a proxy for work-relatedness. OLV fatality rates based on registration data as the denominator were calculated and comparisons made with published 2003/04 fatalities based on workers' compensation data. Results: Thirty-four NSW RTA OLV-user fatalities were identified, a rate of 4.5 deaths per 100,000 organisationally registered OLV, whereas the Australian Safety and Compensation Council (ASCC), reported 28 OLV deaths Australia-wide. Conclusions: More OLV user fatalities were identified from vehicle registration-based data than those based on workers' compensation estimates and the data are likely to provide an improved estimate of fatalities specific to OLV use. Implications: OLV-use is an important cause of traumatic fatalities that would be better identified through the use of vehicle-registration data, which provides a stronger evidence base from which to develop policy responses. [source]

At work or play: A comparison of private property vehicle crashes with those occurring on public roads in north Queensland

AUSTRALIAN JOURNAL OF RURAL HEALTH, Issue 4 2009
Ross Blackman
Abstract Objective:,To define characteristics of vehicle crashes occurring on rural private property in north Queensland with an exploration of associated risk factors. Design:,Descriptive analysis of private property crash data collected by the Rural and Remote Road Safety Study. Setting:,Rural and remote north Queensland. Participants:,A total of 305 vehicle controllers aged 16 years or over hospitalised at Atherton, Cairns, Mount Isa or Townsville for at least 24 hours as a result of a vehicle crash. Main outcome measure:,A structured questionnaire completed by participants covering crash details, lifestyle and demographic characteristics, driving history, medical history, alcohol and drug use and attitudes to road use. Results:,Overall, 27.9% of interviewees crashed on private property, with the highest proportion of private road crashes occurring in the North West Statistical Division (45%). Risk factors shown to be associated with private property crashes included male sex, riding off-road motorcycle or all-terrain vehicle, first-time driving at that site, lack of licence for vehicle type, recreational use and not wearing a helmet or seatbelt. Conclusions:,Considerable trauma results from vehicle crashes on rural private property. These crashes are not included in most crash data sets, which are limited to public road crashes. Legislation and regulations applicable to private property vehicle use are largely focused on workplace health and safety, yet work-related crashes represent a minority of private property crashes in north Queensland. [source]

Young driver restrictions: Does the evidence support them?

AUSTRALIAN JOURNAL OF RURAL HEALTH, Issue 6 2008
Ross Blackman
Abstract Objective:,To assess the suitability of Queensland's graduated licensing system in the context of rural and remote Queensland. Design:,Age-based comparison of crash data collected by the Rural and Remote Road Safety Study (RRRSS). Setting:,Rural and remote North Queensland. Participants:,A total of 367 vehicle controllers aged 16 years or over hospitalised at Townsville, Cairns or Mount Isa for at least 24 hours, or killed, as a result of a vehicle crash. Measurements:,Specific RRRSS variables are assessed in relation to Queensland's graduated licensing program, including rates of unlicensed driving/riding, late night crashes, crashes with multiple passengers, contributing factors in crashes and vehicle types involved. Results:,While people between 16 and 24 years of age comprise 16% of the target population, 25% of crashes meeting RRRSS criteria involved a vehicle controller in that age group. 12.8% of all cases involved an unlicensed driver/rider, within which 66% were below 25 years of age. Young drivers/riders were represented in 50% of crashes occurring between 11:00 p.m. and 5:00 a.m., and 33% of crashes in vehicles with multiple passengers. Motorcyclists represented about 40% of cases in both age groups. There were no significant differences between age groups in vehicle types used, or circumstances that contributed to crashes. Conclusions:,The general overrepresentation of young drivers/riders in rural and remote North Queensland supports tailored interventions, such as graduated licensing. However, while some measures in the legislation are well supported, problems surrounding unlicensed driving/riding might be exacerbated. [source]