Добірка наукової літератури з теми "Crash injuries Australia"

While absolute injury numbers are widely used as a road safety indicator, they do not fully account for the likelihood of an injury given a certain level of exposure. Adjusting crash and injury rates for travel exposure can measure the magnitude of travel activity leading to crash outcomes and provide a more comprehensive indicator of safety. Fatal and serious injury (FSI) numbers were adjusted by three measures of travel exposure to estimate crash and injury rates across nine travel modes in the Australian state of Victoria. While car drivers accounted for the highest number of injuries across the three modes, their likelihood of being killed or seriously injured was substantially lower than that of motorcyclists across all exposure measures. Cyclists accounted for fewer injuries than car passengers and pedestrians but had a higher risk per exposure. The results varied by both injury severity and exposure measure. The results of this study will assist with high level transport planning by allowing for the investigation of the changes in travel-related FSI resulting from proposed travel mode shifts driven by safety, environmental reasons or other reasons as part of the holistic goal of transforming the transport system to full compliance with Safe System principles.

Introduction: As fatalities, injuries, and economic losses from road accidents are a major concern for governments and their citizens, Australia, like other countries, has designed and implemented a wide range of strategies to reduce the rate of road accidents. Methods: As part of the strategy design process, data on crash deaths were collected and then analyzed to develop more effective strategies. The data of crash deaths in Australia during the years 1965 to 2018 were analyzed based on gender, causes of crash deaths, and type of road users, and then the results were compared with global averages, then a prediction model was developed to forecast the future annual crash fatalities. Results: The results indicate that, based on gender, the rate of male road fatalities in Australia was significantly higher than that of female road fatalities. Whereas based on the cause of death, the first cause of death was over speeding. Based on the type of road users, the drivers and passengers of 4-wheel vehicles had the highest rate of fatalities. Conclusion: The prediction model was developed based on Autoregressive Integrated Moving Average (ARIMA) methodology, and annual road fatalities in Australia for the next five years 2019-2022 have been forecast using this model.

Road traffic injuries are a leading cause of morbidity and mortality globally. Understanding circumstances leading to road traffic injury is crucial to improve road safety, and implement countermeasures to reduce the incidence and severity of road trauma. We aimed to characterise crash characteristics of road traffic collisions in Victoria, Australia, and to examine the relationship between crash characteristics and fault attribution. Data were extracted from the Victorian State Trauma Registry for motor vehicle drivers, motorcyclists, pedal cyclists and pedestrians with a no-fault compensation claim, aged > = 16 years and injured 2010–2016. People with intentional injury, serious head injury, no compensation claim/missing injury event description or who died < = 12-months post-injury were excluded, resulting in a sample of 2,486. Text mining of the injury event using QDA Miner and Wordstat was used to classify crash circumstances for each road user group. Crashes in which no other was at fault included circumstances involving lost control or avoiding a hazard, mechanical failure or medical conditions. Collisions in which another was predominantly at fault occurred at intersections with another vehicle entering from an adjacent direction, and head-on collisions. Crashes with higher prevalence of unknown fault included multi-vehicle collisions, pedal cyclists injured in rear-end collisions, and pedestrians hit while crossing the road or navigating slow traffic areas. We discuss several methods to promote road safety and to reduce the incidence and severity of road traffic injuries. Our recommendations take into consideration the incidence and impact of road trauma for different types of road users, and include engineering and infrastructure controls through to interventions targeting or accommodating human behaviour.

Many jurisdictions globally have adopted a zero road trauma target by 2050 and an interim target of a 50% reduction by 2030. The objective of this study was to investigate what the road system will need to look like in order to achieve these respective targets. Utilising human tolerance to injury as the key design factor, this study defined the combination of vehicle, infrastructure, and travel speed requirements to manage crash energy in order to: 1. prevent all fatalities and serious injuries by 2050 in an Ultimate Safe System scenario; and 2. significantly reduce fatalities and severe injuries by 2030 in an Interim Safe System scenario. Victoria, Australia and its Movement and Place (M&P) framework was employed as a case study. With the vehicle and infrastructure countermeasures currently available coupled with appropriate travel speeds it is possible to construct an Ultimate Safe System that can manage crash forces to achieve zero trauma and an Interim Safe System that can significantly reduce the most severe injuries in Victoria. This study has demonstrated a potential pathway from the current situation to 2030 and then 2050 that can achieve safety targets while meeting the core objectives of the transport system.

Unlike door crash accidents predominantly involving bicycles in Australia, the UK, and other Western countries, cases in Taiwan are far more fatal as they usually involve motorcycles. This is due to the unique anthropogeography and transportation patterns of Taiwan, particularly the numbers of motorcycles being twice that of cars. Both path analysis and multivariate logistic regression methods were adopted in this study. The multivariate logistic regression analysis results have shown that the main risk factors causing serious injuries in door crashes include winter, morning, male motorcyclists, heavy motorcycles, and the left sides of cars. Regarding the gender differences in motorcyclists, it appears that female motorcyclists have higher door crash accident rates, while the odds of severe injury and fatality in male motorcyclists are 1.658 times greater than that of female motorcyclists. The risk factors derived from the multivariate logistic regression analysis were further discussed and analysed. It was found that the causes of serious injuries and deaths stemming from door crashes were related to the risk perception ability, reaction ability, visibility, and riding speed of the motorcyclists. Therefore, suggestions on risk management and accident prevention were proposed using advocacy through the 3E strategies of human factors engineering design.

BackgroundThe burden of road traffic crashes (RTC) is commonly reported using fatalities and hospital admissions. Disruption to regular activities, such as work, is rarely reported, yet known to have significant economic and human costs. In the state of Victoria, Australia, people injured and unable to work due to RTC may have treatment and income support provided either through the RTC compensation system or through workers’ compensation. By examining data from both systems, this study sought to determine the rate (per 1 00 000 working population) of RTC injury resulting in work absence, and to quantify the amount of working time lost to RTC injury.MethodsData from each compensation system were harmonised. Analysis included claims from RTCs that occurred between July 1 2003 and June 30 2013 by 15–65 year olds who received at least one day of income support. Fatalities and rejected claims were excluded. Time lost was calculated as the total weeks of income support. Non-parametric tests were performed to determine differences between exposure variables (e.g. male versus female).ResultsThere were 36 640 workers meeting inclusion criteria (average 305 cases per month; mean rate per month of 11.6 per 1 00 000 working population). A total of 1,121,863 lost working weeks were compensated, with a median of 10 weeks. Thirty-two percent of cases did not have a record of attending hospital. The lowest median duration of time loss was among those involved in a train or tram crash (2.9 weeks) and the highest among those with quadriplegia (142.2 weeks). Duration of income support was significantly different within age, sex, injury type, severity, crash type, and compensation system groups.ConclusionsResults showed that RTC injuries of all severities caused considerable work absence. Measures of work absence can complement existing measures of RTC burden.

Higher-order driving skills (HO-DS) are deficient in young drivers who are over-represented in road crash fatalities and serious injuries. Teaching HO-DS has strong theoretical support in reducing crash risk. This study contributes to the dearth of literature regarding on-road driver training that can develop these skills. Higher-order driving instruction (HO-DI) is explored in formal on-road driving lessons (in Queensland, Australia) via naturalistic observation. Fifteen instructors and 96 learner drivers aged 16–19 years were recruited, with 110 lessons observed. An HO-DI coding taxonomy informed by the Goals for Driver Education ( 24) was used for content analysis using an a priori approach, comprising eight HO-DI codes: driving plan (formerly driving route), vehicle control and maneuvering, mastery of traffic situations, surveillance, situational risk (formerly environmental variables), personal risk (formerly knowledge of risk), car function (formerly car knowledge), and distraction. Thirty-nine sub-themes were identified within the codes allowing a deeper understanding of instruction, including missed (unseen) and untaken (seen but not actioned) HO-DI opportunities. The findings inform recommendations for the development of best practice HO-DI. This study has implications for the driver training industry with potential for reducing the crash risk of young novice drivers.

Advanced driver assistance systems (ADAS) provide warnings to drivers and, if applicable, intervene to mitigate a collision if one is imminent. Autonomous emergency brakes (AEB) and lane keep assistance (LKA) systems are mandated in several new vehicles, given their predicted injury and fatality reduction benefits. These predicted benefits are based on the assumption that roads are always entirely supportive of ADAS technologies. Little research, however, has been conducted regarding the preparedness of the road network to support these technologies in Australia, given its vastly expansive terrain and varying road quality. The objective of this study was to estimate what proportion of crashes that are sensitive to AEB and LKA, would not be mitigated due to unsupportive road infrastructure, and therefore, the lost benefits of the technologies due to inadequate road infrastructure. To do this, previously identified technology effectiveness estimates and a published methodology for identifying ADAS-supportive infrastructure availability was applied to an estimated AEB and LKA-sensitive crash subset (using crash data from Victoria, South Australia and Queensland, 2013–2018 inclusive). Findings demonstrate that while the road networks across the three states appeared largely supportive of AEB technology, the lack of delineation across arterial and sub-arterial (or equivalent) roads is likely to have serious implications on road safety, given 13–23% of all fatal and serious injury (FSI) crashes that occurred on these road classes were LKA-sensitive. Based on historical crash data, over 37 fatalities and 357 serious injuries may not be avoided annually across the three Australian states based on the lack of satisfactory road delineation on arterial and sub-arterial (or equivalent) roads alone. Further, almost 24% of fatalities in Victoria, 24% of fatalities in Queensland and 21% of fatalities in South Australia (that are AEB- or LKA-sensitive) are unlikely to be prevented, given existing road infrastructure. These figures are conservative estimates of the lost benefits of the technologies as they only consider fatal and serious injury crashes and do not include minor injury or property damage crashes, the benefits of pedestrian-sensitive AEB crashes in high-speed zones or AEB fitted to heavy vehicles. It is timely for road investments to be considered, prioritised and allocated, given the anticipated penetration of the new technologies into the fleet, to ensure that the road infrastructure is capable of supporting the upcoming fleet safety improvements.

Motorcycle riders have a high risk of serious injury if they crash. To assist with identification of countermeasures, the present study examined records from the Royal Adelaide Hospital (RAH) in South Australia for 763 motorcyclists (including scooter riders) admitted between January 2008 and November 2010 and between April 2014 and December 2016. Records were linked with police-reported crash data and results of forensic blood tests for alcohol and drugs. When compared with 1617 car drivers admitted to the RAH over the same periods, motorcyclists were younger, were more commonly male, more likely to hold a learner permit, less likely to hold a provisional licence, less likely to be over the legal alcohol limit and less likely to be at-fault in multiple vehicle crashes. Their crashes were more likely to be single vehicle crashes (specifically roll over, left road – out of control and hit object/animal/pedestrian on road crashes) and were more common on weekends, during the afternoon, on sloping roads, on curved roads, on roads with speed limits of 50 and 80 km/h, during daylight hours, in dry weather and on dry roads. They had a higher severity of injury than car drivers, spent longer in hospital, and were more likely to sustain injuries to multiple body regions. Linear regression showed that older age, higher blood alcohol concentration and higher speed limit increased injury severity for motorcyclists. Based on present findings, motorcycling safety can be improved through countermeasures related to Graduated Licensing Systems, infrastructure, motorcycle technology and protective clothing.

This paper reports on a study that reviewed the European Standard EN 1317-8 for motorists crashing into barriers and the relevance to Australian motorcycle fatalities. The data collection and analysis of 78 Australian motorcyclist-into-barrier fatalities described here were used to justify the review. In Australia each year approximately 15 motorcyclists die from striking a road safety barrier. A retrospective analysis of the fatalities during 2001 to 2006 (n = 78) was carried out. Consistent with European findings, approximately half the motorcyclists were in the upright posture when they struck the barrier, whereas half slid into the barrier. The mean precrash speed was 100.8 km/h, and the mean impact angle was 15.48. The areas of the body that were injured were similar across different barrier types (concrete, wire rope, and W-beam) and crash postures. The thorax area had the highest incidence of injury and maximum injury in fatal motorcycle crashes into barriers; the head area had the second-highest incidence of injury. Moreover, thorax and pelvis injuries had a greater association with sliding crashes than with those in the upright posture. The existing European Standard EN 1317-8 addresses only the sliding mechanism, uses a head injury criterion, and does not specify any thorax injury criterion. It was proposed that a thorax injury criterion and an additional test should be introduced with the rider in the upright position when striking the barrier and then sliding along the top of the barrier.

Introduction This thesis evaluates the effect of an early intervention programme on the physical and psychological health status of people with mild to moderate musculoskeletal injuries following road traffic crashes, and examines the influence of accident fault status and compensation claim status on recovery. Methods A sequential cohort of patients presenting to emergency departments in the Australian Capital Territory for treatment of mild to moderate musculoskeletal injuries sustained in road traffic crashes were recruited. A control group of 95 patients received the usual care provided. An Intervention group of 98 patients were referred to a specialist clinic for assessment, during which an individualised, proactive rehabilitation plan was established. Both physical and psychological health status were measured at baseline, six months and 12 months post-crash using the Short Form 36 (SF-36; Physical Component Score and Mental Component Score); the Hospital Anxiety and Depression Scale (HADS); and Functional Rating Index (FRI). Three analyses were performed using the health outcome data obtained. Firstly, the influence of fault status on baseline physical and psychological health was evaluated by comparing the health outcomes scores of patients who caused the crash in which they were involved with scores from patients who were not at fault. Secondly, the effect of claiming compensation was evaluated for the control group by comparing SF-36, HADS and FRI scores between patients of the control group who had claimed compensation and those who did not claim compensation. Finally, the effect of the early intervention programme was evaluated by comparing health outcome scores of the control and intervention groups. Results Patients were enrolled a mean of 9.3 days following the crash. In the immediate post-crash period, the cohort was characterised by severe disability (FRI 55.5, SD 21.04), moderate levels of pain (pain intensity sub-scale of the FRI 2.0, SD 0.81) and high levels of anxiety (HADS-a9.1, SD 4.55). Fault status had no effect on physical health; however, people that were not at fault had significantly worse psychological health at baseline as measured by SF-36 Mental Component Score. Claiming compensation was associated with a worse SF-36 Physical Component Score, greater HADS-anxiety and worse FRI. Retention of a lawyer was significantly associated with a lower SF-36 Mental Component Score at 12 months. The early intervention programme resulted in a statistically significant reduction in anxiety at 12 months. However, neither anxiety, nor any of the other measures of physical or psychological health were considered to be improved to a clinically significant level by the intervention. Conclusion Compensation status and psychological factors are independent determinants of longer term health following mild to moderate musculoskeletal injuries sustained in road traffic crashes. The early specialist assessment and proactive treatment planning implemented as part of this thesis, failed to improve health outcomes over usual care alone. Overall, recovery is influenced by both physical and psychological factors, and models of care need to address both of these components.