Fatal traffic accidents among trailer truck drivers and accident causes as viewed by other truck drivers

Causality factors, the responsibility of the driver and driver fatigue-related factors were studied in fatal two-vehicle accidents where a trailer truck driver was involved during the period of 1991-1997 (n = 337). In addition, 251 long-haul truck drivers were surveyed in order to study their views regarding contributing factors in accidents involving trucks and the development of possible countermeasure against driver fatigue. Trailer truck drivers were principally responsible for 16% of all the accidents. Younger driver age and driving during evening hours were significant predictors of being principally responsible. In addition, the probability of being principally responsible for the accident increased by a factor of over three if the driver had a chronic illness. Prolonged driving preceding the accident, accident history or traffic offence history did not have a significant effect. Only 2% of the drivers were estimated to have fallen asleep while driving just prior to the accident, and altogether 4% of the drivers had been tired prior to the accident. Of the drivers 13% had however, been driving over 10 h preceding the accident (which has been criminally punishably in Finland since 1995 under the EC regulation) but no individual factors had a significant effect in predicting prolonged driving. The surveyed views regarding causes of truck accidents correspond well with the accident analysis. Accidents were viewed as being most often caused by other road users and driver fatigue was viewed to be no more than the fifth (out of eight) common cause of accidents. The probability of viewing fatigue as a more common cause increased significantly if the driver had experienced fatigue-related problems while driving. However, nearly half of the surveyed truck drivers expressed a negative view towards developing a technological countermeasure against driver fatigue. The negative view was not related to personal experiences of fatigue-related problems while driving.     

Work-related ladder fall fractures: identification and diagnosis validation using narrative text

OBJECTIVE: To identify ladder-related fracture injuries and determine how ladder fall fractures differ from other ladder-related injuries. METHODS: Ladder-related fracture cases were identified using narrative text and coded data from workers' compensation claims. Potential cases were identified by text searches and verified with claim records. Injury characteristics were compared using proportionate injury ratios. RESULTS: Of 9826 ladder-related injuries, 7% resulted in fracture cases. Falls caused 89% of fractures and resulted in more medical costs and disability days than other injuries. Frequent mechanisms were ladder instability (22%) and lost footing (22%). Narrative text searches identified 17% more fractures than injury codes alone. Males were more likely to sustain a fall fracture than other injuries; construction workers were most likely, and retail workers were the least likely to sustain fractures. CONCLUSIONS: Fractures are an important injury from ladder falls, resulting more serious consequences than other ladder-related injuries. Text analysis can improve the quality and utility of workers compensation data by identifying and understanding injury causes. Proportionate injury ratios are also useful for making cross-group comparisons of injury experience when denominator data are not available. Greater attention to risk factors for ladder falls is needed for targeting interventions.     

Analysis of the effect of car size on accident injury probability using automobile insurance data

The Highway Loss Data Institute (HLDI) compiles injury and collision claim information from major insurance companies. These data have indicated that a disproportionately large number of injury claims are made for small cars. As a result, it might be concluded that small cars increase injury risk to their occupants. Recent advertisements by a major automobile manufacturer suggest a similar conclusion should be drawn from these data. In this paper it is shown that the apparent higher injury risk attributed to small cars can reflect the behavior of persons driving small cars. The number of injury claim accidents per collision claim accident is examined as an alternative measure of injury risk. Possible problems in interpretation are discussed.     

Effect of lowering the alcohol limit in Denmark

On 1 March 1998, the Danish per se limit was lowered from 0.08 to 0.05% blood alcohol concentration (BAC) for motor vehicle drivers. Based on accident data and drivers' drinking habits before and after the amendment, the effect of the new limit has been evaluated. Interviews revealed a significant decrease in the number of drinks that drivers allow themselves to drink within a 2-h period before driving. The proportion of drivers, who would not drink at all or only have one drink, increased from 71% before the amendment to 80% after the amendment. Drivers with changed drinking habits most often stated the lower limit as the main reason for having less alcohol. However, based on accident data from the first year after the amendment, this has not resulted in a marked decrease in the proportion of injury accidents with impaired motor vehicle drivers (BAC>/=0.05%) compared to all injury accidents. On the contrary, the proportion of fatal accidents with drink-drivers compared to all fatal accidents has increased in the after-period. The total number of drink-driving sentences were a little larger in 1999 than in 1997 because of the lower limit, but a significant change from higher towards lower alcohol levels can be seen.     

Multiple state hazard models and workers' compensation claims: an examination of workers compensation data from Ontario

The recurrent nature of some workplace injuries has led some researchers to conclude that the first absence from work does not provide an accurate picture of an individual's claim, or employment history, after a workplace injury. In this paper I estimate a multiple state hazard which estimates the transitions between spells where the individual receives workers' compensation benefits and spells where the individual does not receive any workers' compensation benefits. I apply this model to a sample of claims from Ontario's Workplace Safety and Insurance Board.     

Costs of large truck-involved crashes in the United States

This study provides the estimates of the costs of highway crashes involving large trucks by type of truck involved. These costs represent the present value of all costs over the victims' expected life span that result from a crash. They include medically related costs, emergency services costs, property damage costs, lost productivity, and the monetized value of the pain, suffering, and lost quality of life that a family experiences because of death or injury. Based on the latest data available, the estimated cost of police-reported crashes involving trucks with a gross weight rating of more than 10,000 pounds averaged US$ 59,153 (in 2000 dollars). Multiple combination trucks had the highest cost per crash (US$ 88,483). The crash costs per 1000 truck miles however, were US$ 157 for single unit trucks, US$ 131 for single combination trucks, and US$ 63 for multiple combinations.     

Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways

In adverse driving conditions, such as inclement weather and/or complex terrain, trucks are often involved in single-vehicle (SV) accidents in addition to multi-vehicle (MV) accidents. Ten-year accident data involving trucks on rural highway from the Highway Safety Information System (HSIS) is studied to investigate the difference in driver-injury severity between SV and MV accidents by using mixed logit models. Injury severity from SV and MV accidents involving trucks on rural highways is modeled separately and their respective critical risk factors such as driver, vehicle, temporal, roadway, environmental and accident characteristics are evaluated. It is found that there exists substantial difference between the impacts from a variety of variables on the driver-injury severity in MV and SV accidents. By conducting the injury severity study for MV and SV accidents involving trucks separately, some new or more comprehensive observations, which have not been covered in the existing studies can be made. Estimation findings indicate that the snow road surface and light traffic indicators will be better modeled as random parameters in SV and MV models respectively. As a result, the complex interactions of various variables and the nature of truck-driver injury are able to be disclosed in a better way. Based on the improved understanding on the injury severity of truck drivers from truck-involved accidents, it is expected that more rational and effective injury prevention strategy may be developed for truck drivers under different driving conditions in the future.     

The willingness to pay of parties to traffic accidents for loss of productivity and consolation compensation

In this study, willingness to pay (WTP) for loss of productivity and consolation compensation by parties to traffic accidents is investigated using the Tobit model. In addition, WTP is compared to compensation determined by Taiwanese courts. The modelling results showed that variables such as education, average individual monthly income, traffic accident history, past experience of severe traffic accident injuries, the number of working days lost due to a traffic accident, past experience of accepting compensation for traffic accident-caused productivity loss and past experience of accepting consolation compensation caused by traffic accidents have a positive impact on WTP. In addition, average WTP for these two accident costs were obtained. We found that parties to traffic accidents were willing to pay more than 90% of the compensation determined by the court in the scenario of minor and moderate injuries. Parties were willing to pay approximately 80% of the compensation determined by the court for severe injuries, disability and fatality. Therefore, related agencies can use our study findings as the basis for determining the compensation that parties should pay for productivity losses caused by traffic accidents of different types.     

Evaluation and optimization of chromium removal from tannery effluent by microemulsion in the Morris extractor

A multidisciplinary Road Accident Analysis Group with the objective of conducting in-depth investigations of specific types of accidents has existed in Denmark for some years. The group has analysed head-on collisions, left-turn accidents, truck accidents and single vehicle accidents. The data collection included police reports, the group's investigation of accident sites and vehicles involved, and interviews with the involved road users and witnesses. The main accident factors in the head-on collisions and in the single vehicle accidents were excessive speed, drunk driving and driving under the influence of illegal drugs. The primary accident factors in left-turn accidents were attention errors or misjudging the amount of time available to complete the left turn. In the truck accidents insufficient searching for visual information as well as speeding were major factors. For all the accident themes the primary injury factor was failure to wear seat- belts. The multidisciplinary approach has provided a rather precise knowledge of the contributing factors leading up to the accident. The method requires a lot of resources, which is a limiting factor for the number of accidents to be analysed in this way. However, the method is suitable for analysis of common occurring or very serious types of accidents.     

Comprehensive analysis of single- and multi-vehicle large truck at-fault crashes on rural and urban roadways in Alabama

The research described in this paper analyzed injury severities at a disaggregate level for single-vehicle (SV) and multi-vehicle (MV) large truck at-fault accidents for rural and urban locations in Alabama. Given the occurrence of a crash, four separate random parameter logit models of injury severity (with possible outcomes of major, minor, and possible or no injury) were estimated. The models identified different sets of factors that can lead to effective policy decisions aimed at reducing large truck-at-fault accidents for respective locations. The results of the study clearly indicated that there are differences between the influences of a variety of variables on the injury severities resulting from urban vs. rural SV and MV large truck at-fault accidents. The results showed that some variables were significant only in one type of accident model (SV or MV) but not in the other accident model. Again, some variables were found to be significant in one location (rural or urban) but not in other locations. The study also identified important factors that significantly impact the injury severity resulting from SV and MV large truck at-fault accidents in urban and rural locations based on the estimated values of average direct pseudo-elasticity. A careful study of the results of this study will help policy makers and transportation agencies identify location specific recommendations to increase safety awareness related to large truck involved accidents and to improve overall highway safety.     

Sixteen years age limit for learner drivers in Sweden--an evaluation of safety effects

Through a reform implemented in Sweden, September 1993, the age limit for practising car driving was lowered from 17 1/2 to 16 years while the licensing age remained 18. The purpose of lowering the age limit was to give the learner drivers an opportunity to acquire more experience as drivers before being allowed to drive on their own. The primary aim of this study was to evaluate the effect of the reform in terms of accident involvement and data were therefore obtained from the national register of police reported accidents. The results show that after the reform there was a general reduction in the accident risk (accidents per 10 million km) of novice drivers with approximately 15%. Additional analyses show that the reduction of accident risk in the group who utilised the new age limit was approximately 40%, whereas those who did not utilise the prolonged training period did not benefit at all. Between 45 and 50% of the age population were found to utilise the reform. The accident reduction does not seem to be just an initial first year effect since the results were similar over 3 years of novice drivers during their first 2 years with a licence. These results suggest that the reform has been beneficial for the safety of novice drivers in Sweden. The results also suggest a potential for additional safety improvements if more young learner drivers can be brought to utilise the low age limit.     

The amount of consolation compensation in road traffic accidents

This study aimed to investigate the amount of consolation compensation that road accident perpetrators were willing to pay victims. It used 2010 statistics for general road accidents from Taiwan's National Police Agency (NPA) for further sampling and to mail questionnaires. In investigating consolation compensation, the framework of the contingent valuation method was used, and the data were collected through the design of different scenarios. In this study, five injury levels were designed to further analyse the consolation compensation price the perpetrators were willing to pay: minor injury, moderate injury, serious injury, disability, and death. The results revealed the price that many perpetrators were willing to pay was zero; however, we overcame this issue by using the Spike model. The estimated results showed that road accident perpetrators were willing to pay more consolation compensation with increased injury severity.     

Highway accident severities and the mixed logit model: an exploratory empirical analysis

Many transportation agencies use accident frequencies, and statistical models of accidents frequencies, as a basis for prioritizing highway safety improvements. However, the use of accident severities in safety programming has been often been limited to the locational assessment of accident fatalities, with little or no emphasis being placed on the full severity distribution of accidents (property damage only, possible injury, injury)-which is needed to fully assess the benefits of competing safety-improvement projects. In this paper we demonstrate a modeling approach that can be used to better understand the injury-severity distributions of accidents on highway segments, and the effect that traffic, highway and weather characteristics have on these distributions. The approach we use allows for the possibility that estimated model parameters can vary randomly across roadway segments to account for unobserved effects potentially relating to roadway characteristics, environmental factors, and driver behavior. Using highway-injury data from Washington State, a mixed (random parameters) logit model is estimated. Estimation findings indicate that volume-related variables such as average daily traffic per lane, average daily truck traffic, truck percentage, interchanges per mile and weather effects such as snowfall are best modeled as random-parameters-while roadway characteristics such as the number of horizontal curves, number of grade breaks per mile and pavement friction are best modeled as fixed parameters. Our results show that the mixed logit model has considerable promise as a methodological tool in highway safety programming.     

Epidemiology of traffic accidents in a Swedish municipality

Total population injury surveillance was done in an area with a population of over 41,000. All traffic accidents (N = 632) occurring within a 12-month period and requiring medical care were noted, giving a ratio of 15.3 per 1,000. They involved cyclists (38.3%), pillion passengers on cycles (1.9%), pedestrians (29.3%), motorcar drivers (7.8%), motorcar passengers (3.6%), passengers entering or leaving a vehicle (7.3%), mopedists (6.8%), motorcyclists (3.5%), and “others” (1.6%). Children and teenagers predominated in the cycle group; 55% of the males were aged 0–15 years compared with 41% of the females. Women were involved in 65% of the pedestrian accidents; 69% were aged 50 years or more. Of the accidents involving women aged over 50 years, 61% occurred in icy or snowy conditions. The police statistics were incomplete and accounted for only 23% of the total number of people reported injured by the health authorities. In some respects, the accident pattern in the present study differed from that in other comparable studies. The difference is especially great concerning the incidence of traffic accidents, the proportion of young persons involved in cycle accidents, and the number of accidents caused by motorcar drivers who developed sudden illness whilst driving.     

An evaluation of the national safety council''s defensive driving course in various states

The National Safety Council's Defensive Driving Course (DDC) was evaluated by two methods—comparison of self-reported accident rates from the year before and the year after DDC, and comparison of the after-DDC rates with those reported by other drivers who were not exposed to DDC but were driving at the same time. Official state records were also collected. Information was obtained from 8182 DDC graduates (study group) in 26 states who completed a survey describing their accident histories for the 12-month period before DDC. One year later. 72 per cent (5921) of these drivers responded to a similar self report for the 12-month period after DDC. At the time this after-DDC information was collected, comparison group information was obtained for 2397 drivers who entered the DDC program 1 year later. Official records from seven states were collected for approximately one third of the study and comparison group samples.

DDC graduates responding to the recontact questionnaire reported significant reductions of 32.8 per cent fewer accidents in the year after DDC as compared to the year before. The study group respondent accident rate was also significantly lower than the comparison group rate. Further analysis of self report data showed that reductions following DDC were greater for males than females and were less for those drivers 24 yr and under with females in this age group showing the least reductions after DDC. Accident profiles after DDC including type, severity, and manner of collision remained generally similar to before-DDC profiles, although there appeared to be a positive connection between course emphasis and the magnitude of reduction for different types of accidents. The study group showed a 17.6 per cent reduction in state-recorded accidents in the year after as compared with the year before DDC. The comparison group showed an increase of 11.9 per cent in state-recorded accidents over the same period. The reductions in state-recorded accidents after DDC for the study group were not significantly different from those of the comparison group, however, the results of the state-recorded analysis were viewed as supporting the significant decreases found in the self reports.     

The relationship between safety climate and injury rates across industries: the need to adjust for injury hazards

Previous studies have suggested that strong safety climates (shared perceptions of safe conducts at work) are associated with lower workplace-injury rates, but they rarely control for differences in industry hazards. Based on 33 companies, we assessed its association with injury rates using three rate based injury measures (claims per 100 employees, claims per 100,000 h worked, and claims per 1 million US dollars payroll), which were derived from workers' compensation injury claims. Linear regression models were used to test the predictability of safety climate on injury rates, followed by controlling for differences in hazard across industries gauged by national industry-specific injury rates. In the unadjusted model, company level safety climate were negatively and significantly associated with injury rates. However, all of the above associations were no longer apparent when controlling for the hazardousness of the specific industry. These findings may be due to over adjustment of hazard risk, or the overwhelming effects of industry specific hazards relative to safety climate effects that could not be differentiated with the statistical power in our study. Industry differences in hazard, conceptualized as one type of injury risk, however need to be considered when testing the association between safety climate and injury across different industries.     

Do claim factors predict health care utilization after transport accidents?

Background

Injured people who are involved in compensation processes have less recovery and less well-being compared to those not involved in claims settlement procedures. This study investigated whether claim factors, such as no-fault versus common law claims, the number of independent medical assessments, and legal disputes, predict health care utilization after transport accidents.

Method

The sample consisted of 68,911 claimants who lodged a compensation claim at the Transport Accident Commission (TAC) in Victoria, Australia, between 2000 and 2005. The main outcome measure was health care utilization, which was defined as the number of visits to health care providers (e.g. general practitioners, physiotherapists, psychologists) during the 5 year period post-accident.

Results

After correction for gender, age, role in accident, injury type, and severity of injury, it was found that independent medical assessments were associated with greater health care utilization (β = .36, p < .001). Involvement in common law claims and legal disputes were both significantly related to health care utilization (respectively β = .05, p < .001 and β = −.02, p < .001), however, the standardized betas were negligible, therefore the effect is not clinically relevant. A model including claim factors predicted the number of health care visits significantly better (ΔR² = .08, p < .001) than a model including only gender, age, role in accident, injury type, and severity of injury.

Conclusion

The positive association between the number of independent medical assessments and health care utilization after transport accidents may imply that numerous medical assessments have a negative effect on claimants’ health. However, further research is needed to determine a causal relationship.     

NIOSH national survey of long-haul truck drivers: Injury and safety

Approximately 1,701,500 people were employed as heavy and tractor-trailer truck drivers in the United States in 2012. The majority of them were long-haul truck drivers (LHTDs). There are limited data on occupational injury and safety in LHTDs, which prompted a targeted national survey. The National Institute of Occupational Safety and Health conducted a nationally representative survey of 1265 LHTDs at 32 truck stops across the contiguous United States in 2010. Data were collected on truck crashes, near misses, moving violations, work-related injuries, work environment, safety climate, driver training, job satisfaction, and driving behaviors. Results suggested that an estimated 2.6% of LHTDs reported a truck crash in 2010, 35% reported at least one crash while working as an LHTD, 24% reported at least one near miss in the previous 7 days, 17% reported at least one moving violation ticket and 4.7% reported a non-crash injury involving days away from work in the previous 12 months. The majority (68%) of non-crash injuries among company drivers were not reported to employers. An estimate of 73% of LHTDs (16% often and 58% sometimes) perceived their delivery schedules unrealistically tight; 24% often continued driving despite fatigue, bad weather, or heavy traffic because they needed to deliver or pick up a load at a given time; 4.5% often drove 10 miles per hours or more over the speed limit; 6.0% never wore a seatbelt; 36% were often frustrated by other drivers on the road; 35% often had to wait for access to a loading dock; 37% reported being noncompliant with hours-of-service rules (10% often and 27% sometimes); 38% of LHTDs perceived their entry-level training inadequate; and 15% did not feel that safety of workers was a high priority with their management. This survey brings to light a number of important safety issues for further research and interventions, e.g., high prevalence of truck crashes, injury underreporting, unrealistically tight delivery schedules, noncompliance with hours-of-service rules, and inadequate entry-level training.