Age and gender differences in risk-taking behaviour as an explanation for high incidence of motor vehicle crashes as a driver in young males

Risk-taking behaviour has been identified as a possible explanation for the high incidence of motor vehicle crashes involving young male drivers. This study examines the extent to which differences in risk-taking behaviour explain the differential crash rates by age and gender. A random sample of 689 adults aged 17-88 were selected from motor vehicle license holders within randomly selected geographical areas across Queensland. Participants completed a questionnaire covering their attitudes towards driving behaviour and general risk-taking behaviour, selected demographic characteristics and self-reported history of road crashes as a driver. Univariate analysis showed that males scored higher means than females in driver aggression and thrill seeking and in their general risk acceptance. Multivariate logistic regression analysis indicated that males were twice as likely (OR 2.46, CI 1.59-3.83) to have reported at least one crash as a driver compared to females and nearly three times as likely (OR 2.88, CI 1.84-4.49) to have reported two or more crashes. Drivers aged 17-29 were also twice as likely (OR 2.31, CI 1.10-4.19) to have reported at least one crash when compared to those aged over 50 years. When risk-taking behaviours were introduced into the logistic model the odds of males (OR 1.70, CI 1.29-3.30) or 17-29 year olds (OR 1.30, CI 0.93-3.91) being involved in at least one crash substantially reduced. An increased risk of a crash as a driver can, in part, be explained by the age and gender differential in risk-taking behaviour. The challenge for public health professionals is to determine suitable strategies to modify risk-taking behaviour in young or male drivers.     

Fatality rate of pedestrians and fatal crash involvement rate of drivers in pedestrian crashes: a case study of Iran

The aim of this study was to uncover patterns of pedestrian crashes. In the first stage, 34,178 pedestrian-involved crashes occurred in Iran during a four-year period were grouped into homogeneous clusters using a clustering analysis. Next, some in-cluster and inter-cluster crash patterns were analysed. The clustering analysis yielded six pedestrian crash groups. Car/van/pickup crashes on rural roads as well as heavy vehicle crashes were found to be less frequent but more likely to be fatal compared to other crash clusters. In addition, after controlling for crash frequency in each cluster, it was found that the fatality rate of each pedestrian age group as well as the fatal crash involvement rate of each driver age group varies across the six clusters. Results of present study has some policy implications including, promoting pedestrian safety training sessions for heavy vehicle drivers, imposing limitations over elderly heavy vehicle drivers, reinforcing penalties toward under 19 drivers and motorcyclists. In addition, road safety campaigns in rural areas may be promoted to inform people about the higher fatality rate of pedestrians on rural roads. The crash patterns uncovered in this study might also be useful for prioritizing future pedestrian safety research areas.     

Adolescent injuries in relation to economic status: An international perspective

The primary objective of the study was to examine the relationship between patterns in car-to-car crashes involving young drivers and car and driver characteristics and the research design was a national register-based prospective cohort study. Individual records in a cohort born 1970 – 1972 are linked to road-traffic-crash data (1988 – 2000). Subjects' first police-registered two-car crash leading to severe or fatal injury (n = 4875) are identified. Typical crash patterns are highlighted and associations between pattern and both car and individual socio-demographic characteristics are tested. Four crash patterns are highlighted. Male drivers and those with lower educational attainment are over-represented in all patterns. Pattern-based risk levels vary considerably according to car safety level and driver's age at time of injury and socio-economic status. Crash patterns might be considered in young adult driver education systems, bearing in mind the consistent higher risks of male drivers and of drivers with lower educational attainment.     

First car-to-car crashes involving young adult drivers: main patterns and their relation to car and driver characteristics

The primary objective of the study was to examine the relationship between patterns in car-to-car crashes involving young drivers and car and driver characteristics and the research design was a national register-based prospective cohort study. Individual records in a cohort born 1970-1972 are linked to road-traffic-crash data (1988-2000). Subjects' first police-registered two-car crash leading to severe or fatal injury (n = 4875) are identified. Typical crash patterns are highlighted and associations between pattern and both car and individual socio-demographic characteristics are tested. Four crash patterns are highlighted. Male drivers and those with lower educational attainment are over-represented in all patterns. Pattern-based risk levels vary considerably according to car safety level and driver's age at time of injury and socio-economic status. Crash patterns might be considered in young adult driver education systems, bearing in mind the consistent higher risks of male drivers and of drivers with lower educational attainment.     

Investigation of contributing factors to extremely severe traffic crashes using survival theory

This study aimed to investigate the contributing factors to serious casualty crashes in China. Crashes with deaths greater than 10 people are defined as serious casualty crashes in China. The serious casualty crash data were collected from 2009 to 2014. The random forest analysis was first conducted to select the candidate variables that affect the risks of serious casualty crashes. The Bayesian random parameters accelerated failure time (AFT) model was then developed to link the probability of the serious casualty crash with road geometric conditions, pavement conditions, environmental characteristics, collision characteristics, vehicle conditions, and driver characteristics. The AFT model estimation results indicate that overload driving, country road, northwest china region, turnover crash, private car, snowy or icy road surface and sight distance conditions have significant fixed effects on the likelihood of serious casualty crashes. In addition to these fixed-parameter variables, freeway, clear weather conditions, coach drivers, and upgrade horizontal curve affect the likelihood of serious casualty crashes with varying magnitude across observations. One of the important findings is that the serious casualty crash likelihood does not always decrease with an increase in the driving experience (number of years driven). Before the inflection point of 7 years, the serious casualty crash likelihood increases as the driving experience grows. The results of this study can help to develop effective countermeasures and policy initiatives for the prevention of serious casualty crashes.     

Fatal motorcycle crashes: a growing public health problem in Cambodia

This study examines the risk characteristics of fatal motorcycle crashes in Cambodia over a 5-year period (2007–2011). Secondary data analyses were conducted using the Cambodia Road Crash and Victim Information System, the only comprehensive and integrated road crash surveillance system in the country. Researchers from the Centers for Disease Control and Prevention and Handicap International found that (1) males are dying in motorcycle crashes roughly seven times more frequently than females; (2) motorcyclist fatalities increased by about 30% from 2007 to 2011; (3) the motorcyclist death rates per 100,000 population increased from 7.4 to 8.7 deaths from 2007 to 2011; and (4) speed-related crashes and not wearing motorcycle helmet were commonly reported for motorcyclist fatalities at approximately 50% and over 80% through the study years, respectively. Additionally, this study highlights that Cambodia has the highest motorcycle death rate in South-East Asia, far surpassing Thailand, Malaysia, and Myanmar. By recognising the patterns of fatal motorcycle crashes in Cambodia, local road-safety champions and stakeholders can design targeted interventions and preventative measures to improve road safety among motorcyclists.     

Identification of elderly drivers whose crash involvement risks are alleviated by passenger presence

It is essential to find measures to compensate for the decline in elderly drivers’ driving ability in order to meet their mobility needs and ensure their safety when driving. Although it has been well documented that elderly drivers’ risks of crash involvement are alleviated by the presence of passengers, few studies have investigated whether the protective effect of passengers is influenced by driver characteristics including the degree of cognitive impairment. This study aimed to identify subgroups of elderly drivers whose crash involvement risks are more effectively alleviated by passenger presence. After dividing elderly drivers into three levels of cognitive impairment, as measured by the Short-Memory Questionnaire, and two gender groups, the present study found that only male drivers in the middle cognitive level benefited from passenger presence. The effectiveness of passenger presence may be more successfully achieved by proper selection of the appropriate range of cognitive decline and gender.     

Fatal and serious road crashes involving young New Zealand drivers: a latent class clustering approach

The over-representation of young drivers in road crashes remains an important concern worldwide. Cluster analysis has been applied to young driver sub-groups, but its application by analysing crash occurrence is just emerging. We present a classification analysis that advances the field through a holistic overview of crash patterns useful for designing youth-targeted road safety programmes. We compiled a database of 8644 New Zealand crashes from 2002 to 2011 involving at least one 15–24-year-old driver and a fatal or serious injury for at least one road user. We considered crash location, infrastructure characteristics, environmental conditions, demographic characteristics, driving behaviour, and pre-crash manoeuvres. The analysis yielded 15 and 8 latent classes of, respectively, single-vehicle and multi-vehicle crashes, and average posterior probabilities measured the odds of correct classification that revealed how the identified clusters contain mostly crashes of a particular class and all the crashes of that class. The results raised three major safety concerns for young drivers that should be addressed: (1) reckless driving and traffic law violations; (2) inattention, error, and hazard perception problems; and (3) interaction with road geometry and lighting conditions, especially on high-speed open roads and state highways.     

Driver education: how effective?

Abstract

In the early 20th century, the numbers of motor vehicles in use grew rapidly in the USA, Canada, and many European countries. By the 1930s, the number of automobile crashes and the resulting deaths and injuries was a significant problem and various safety organizations tried to address it with education and publicity programs aimed at changing driver behaviour. It is not clear when the high crash risks of young drivers were first identified, but in the early 1930s driver education courses began to be offered in US high schools (feasible because US licensing ages were 16 or younger) and soon such courses were being touted (with no evidence) as ‘the most obvious way’ to reduce traffic crashes. Over the years many claims were made for the effectiveness of high school driver education, however, it was not until the late 1960s that competent research studies (including randomized control trials) were undertaken. The consistent findings from these studies have been that high school driver education does not reduce crashes. Furthermore, the trained students get their licenses sooner, and because teenagers have very high crash risks, the net result of high school driver education is increased numbers of crashes.     

Identifying the factors contributing to the severity of truck-involved crashes

To address the dilemma between the need for truck transportation and the costs related to truck-involved crashes, the key is to identify the risk factors that significantly affect truck-involved crashes. The objective of this research is to estimate the effects of the characteristics of traffic, driver, geometry, and environment on severity of truck-involved crashes. Based on four crash severity categories (fatal/incapacitating, non-incapacitating, possible injury, and no injury/property damage only), a multinomial logit model is conducted to identify the risk factors. The investigation of risk ratios indicates that lower traffic volume with higher truck percentage is associated with more serious traffic crash with fatal/incapacitating injury while a non-standard geometric design is the main cause of non-incapacitating crashes. The influences of weather are significant for the possible-injury crashes while driver condition is the principal cause of no-injury/property-damage-only crashes. In addition, the statistical results demonstrate that the influence of the truck percentage is significant. One-unit change in the truck percentage will cause more than one times probability of being in an injury.     

Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka,Bangladesh

Abstract

Although the rate of road crashes and their severity is relatively higher in developing countries, there is still a lack of research on pedestrian-vehicle crash severity in these contexts, particularly in Bangladesh. Therefore, this study aimed to identify the contributing environmental, road, and vehicular factors that influenced pedestrian—single-vehicle crash severity in Dhaka, a megacity and the capital of Bangladesh. A binary logistic regression model was developed in this study by analyzing a data set of pedestrian—single-vehicle crashes involving casualties in Dhaka from 2010 to 2015. The model identified seven significant factors influencing pedestrian-vehicle crash severity. Significant factors increasing the likelihood of fatal crashes included crashes during adverse weather, dawn/dusk period, night period (where street light was absent), off-peak period, crashes where road divider was unavailable, road geometry was straight and flat, and crashes those were occurred by heavier vehicles. Besides, crashes at three-legged intersections were less likely to be fatal. Both similarities and differences were found among the significant factors influencing pedestrian-vehicle crash severity in Dhaka from the findings of the developed countries. The findings of this study would help transport engineers and planners to design safer roadways for both pedestrians and vehicles.     

Factors contributing to motorcycle fatal crashes on National Highways in India

This study analyses fatal crash patterns, and identifies the risk factors contributing to motorcycle versus non-motorcycle fatal crashes using binomial logistic regression on two-, four- and six-lane National Highways (NHs) in India utilizing police fatal crash data. The distribution of victims’ mode by striking vehicles shows that percentage share of striking vehicles (truck) against the victims’ vehicles (motorcycle) is 44%, 52% and 37% on two-lane NH-8, four-lane NH-24 and six-lane NH-1, respectively. Nine explanatory variables pertaining to fatal crash, victim, roadway and environment are considered for the model (using combined data of cited three NHs). The results of the logistic regression model (motorcycle versus non-motorcycle fatal crashes) show that for variable ‘collision type’, likelihood of occurrence of ‘rear-end’, ‘sideswipe’ and ‘head-on’ fatal crashes are 42-times, 35-times and 25-times more than ‘hit pedestrian’ respectively. Similarly, for variable ‘number of vehicle’, likelihood is thrice as ‘single-vehicle’ than ‘two or more vehicles’; and, for variable ‘number of lane’, probability is more on ‘two-lane’ NH-8 than ‘four-lane’ NH-24. Based on the study results, it is recommended to upgrade two-lane (undivided carriageway) to four-lane (divided carriageway) NHs to reduce ‘head-on’ collision.     

Pattern of deaths and injuries in road crashes on three main entrance roads in Kerman,Iran

Road traffic injuries and fatalities are increasing in Kerman, Iran. The study included all road traffic crashes recorded by traffic police forces located in west, northwest and south rural roads between 2005 and 2007 in Kerman city. According to the data, road traffic crashes were the main causes of injuries and deaths in Kerman. The results of this study indicated that significant differences were found between male and the female drivers. Results obtained on the driver's age indicated that higher male crashes were in age groups 26–34 years. Statistical testing of the results at the 5% significant level reveals that rate differences are significant under sunny, foggy, rainy, storm and lighting conditions of driving. The analysis results indicated that a majority of male drivers and only 0.23% of female drivers travelled unbelted while driving on rural roads in Kerman.     

Associations of traffic safety attitudes and ticket fixing behaviours with the crash history of Pakistani drivers

The study assessed whether traffic safety attitudes and ticket fixing behaviours were associated with the crash history. A total of 4018 male drivers from Lahore city participated in this cross sectional study. Most were aged 18–30 years (58.7%, n = 2362), 71.9% (n = 2887) received a traffic ticket, 66.5% (n = 2672) reported previous traffic ticket fixing and 71.3% (n = 2865) considered crashes as being the will of God. Crash history was reported by 95.4% (n = 3821) of drivers, and 58.2% of them reported being involved in a road traffic crash. The likelihood of reporting a previous crash was higher in those who had received a traffic sign violation ticket [adjusted odds ratio (aOR) = 1.40; 95% confidence interval (95%CI) = 1.15–1.72], were involved in traffic ticket fixing (aOR = 1.28; 95%CI = 1.07–1.53), and considered crashes as will of God (aOR = 1.86; 95% CI = 1.57–2.22). These results suggested the need for improving traffic enforcement monitoring and safety education in Pakistan.     

Under-reporting of road traffic crash data in Ghana

Having reliable estimates of the shortfalls in road traffic crash data is an important prerequisite for setting more realistic targets for crash/casualty reduction programmes and for a better appreciation of the socio-economic significance of road traffic crashes. This study was carried out to establish realistic estimates of the overall shortfall (under-reporting) in the official crash statistics in Ghana over an eight-year period (1997–2004). Surveys were conducted at hospitals and among drivers to generate relevant alternative data which were then matched against records in police crash data files and the official database. Overall shortfalls came from two sources, namely, ‘non-reporting’ and ‘under-recording’. The results show that the level of non-reporting varied significantly with the severity of the crash from about 57% for property damage crashes through 8% for serious injury crashes to 0% for fatal crashes. Crashes involving cyclists and motorcyclists were also substantially non-reported. Under-recording on the other hand declined significantly over the period from an average of 37% in 1997–1998 to 27% in 2003–2004. Thus, the official statistics of road traffic crashes in Ghana are subject to significant shortfalls that need to be accounted for. Correction factors have therefore been suggested for adjusting the official data.     

Road traffic injury among child motorcyclists in Vientiane Capital,Laos: a cross-sectional study using a hospital-based injury surveillance database

This study investigated the distribution of motorcyclists, including drivers and passengers, who were involved in road traffic crashes and admitted to hospital in Vientiane Capital, Laos. The focus was on child motorcycle drivers and passengers under 15 years. A hospital-based injury surveillance database in Vientiane Capital was used. The surveillance was performed in two hospitals. From 1 September to 31 December 2009, 3968 patients were admitted to the participating hospitals with road traffic injuries. Patients under 15 years accounted for 10.8% (427/3968). The majority of patients under 15 years were motorcycle drivers or passengers (71.7%, 306/427). Child motorcyclists including drivers and passengers were less likely to wear a helmet than adults (adjusted odds ratio [OR], 0.3, 95% confidence interval [CI], 0.2–0.5, for children 10–14 years; adjusted OR: 0.1, 95% CI, 0.05–0.4, for children under 10 years). It is suggested that stricter regulation enforcement for child motorcycle drivers and passengers may be needed. In addition, barriers against wearing helmets for motorcycle drivers and passengers in Laos should also be examined in further studies.