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.     

Observed and unobserved correlation between crash avoidance manoeuvers and crash severity

Understanding drivers’ responses to critical events, analyzing drivers’ abilities to perform corrective manoeuvers, and investigating the correlation between these manoeuvers and crash severity provide the opportunity of increasing the knowledge about how to avoid crash occurrence or at least mitigate crash severity. We extend existing research on the determinants of engaging in crash avoidance manoeuvers by considering that observable and unobservable factors relate to both the selection of corrective manoeuvers and the severity outcome. Accordingly, we propose a joint multinomial-logit ordered-probit model of single-vehicle crashes extracted from the NASS GES database for the years 2005–2009. Results show (1) the existence of unobserved correlation between crash avoidance manoeuvers and crash severity, and (2) the link between drivers’ attributes, risky driving behaviour, road characteristics, and environmental conditions, with the propensity to engage in crash avoidance manoeuvers and experience severe crash outcomes.     

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.     

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.     

Underreporting,crash severity and fault assignment of minor crashes in China – a study based on self-reported surveys

Unreported minor crashes have importance as a surrogate for more serious crashes that require infrastructure, education, and enforcement strategies; and they still inflict damages. To study factors that influence underreporting, cause, and severity of minor crashes; a survey was performed in Kunming and Beijing to collect self-reported personal characteristics and crash history data of the three major urban road users in China: automobile drivers, bicycle riders and electric bike (e-bike) riders. Underreporting rates of automobile to automobile, automobile to non-motorized vehicle, and non-motorized vehicle to non-motorized vehicle crashes are 56%, 77% and 94%, respectively. Minor crashes with higher reported injury severity levels are more likely to be reported. E-bike riders without a driver's license are more likely to cause crashes. Licensing and education could be an effective way to reduce their crashes. The party that is not at fault in a crash is more likely to sustain high level of injury.     

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.     

Estimating national road crash fatalities using aggregate data

Injuries and fatalities from road traffic crashes have emerged a major public health challenge in Pakistan. Reliable estimates of road crash fatalities (RCF) of a country, is a vital element needed for identification and control of key risk factors, road-safety improvement efforts and prioritizing national health. Reliability of current annual RCF estimates for Pakistan becomes highly questionable due to serious underreporting. This study aimed to predict annual RCF for Pakistan using data from World Health Organization and International Road Federation sources. An ordinary least square (OLS) regression model that relates fatality rate with different explanatory variables was developed. RCF were predicted for Pakistan for year 2012 and 2013, and results were compared with national police reported estimates. Study results indicated that there is serious underreporting of RCF in Pakistan and immediate measures are needed to improve the existing road crash recording and reporting system at the national and subnational levels.     

Cost analysis of road traffic crashes in China

Abstract

Fatalities and injuries resulting from road traffic crashes is always a serious problem. The overall economic losses caused by road traffic crashes are beyond imagination. Including the economic cost of property damage, productivity loss, medical cost, travel delay time cost, legal cost and insurance cost, the total economic cost of traffic crashes in China in 2017 is calculated as 490.1 billion yuan (72.6 billion USD 2017), which is equivalent to 0.60% of the GDP. The cost of productivity loss accounts for the highest proportion of total economic cost, which is 72%. The second is the travel delay cost, accounting for 12% insurance cost, property damage cost and medical cost are followed. The more serious the injury, the higher the unit economic cost. The unit cost of a crash that caused only property damage is 11,274 yuan. The unit cost of a minor injured crash is 20,223 yuan. The highest unit economic cost is the unit cost of a fatal crash, which is 3,181,394 yuan. This study provides important insights into the cost-benefit analysis of China's road safety policies.     

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.     

Gender and age distribution of motorcycle crashes in Spain

This study analysed motorcycle crashes in Spain. Ninety-nine thousand three hundred and four motorcycle crash reports filed in the years 2006–2011 were extracted from the Directorate General of Traffic database of crashes with victims. These data were analysed in terms of gender, age groups, trip purpose, type of crash, speed violation, day of the week, harm caused, use of helmet and psychophysical conditions of the driver to study the characteristics of motorcycle crashes in Spain and to assess the differences between male and female motorcycle drivers in these crashes. Significant differences were found in all the variables considered in the study, which implies gender differences in the profile of the injured motorcycle driver. The severity of motorcycle crashes suffered by male drivers is higher than that of women. These results corroborate the need to develop measures differentiated by gender, based on their profile.     

Impact of traffic citations to reduce truck crashes on challenging roadway geometry

Wyoming's Interstate 80 has one of the highest truck crash rates in the United States. This is due to a variety of reasons, including high percentage of truck traffic, adverse weather conditions and mountainous terrain. These factors have caused the Wyoming Highway Patrol (WHP) to spend extensive resources on inspecting commercial vehicles and enforcement of traffic laws in this corridor. This study estimated the correlation between traffic citations and truck crashes. In addition, the paper evaluated the increased risk of truck crashes in adverse weather and road conditions. The explanatory variables included geometric features, weather condition, traffic volume and types of citations. This research concluded that speeding related citations and truck crashes are negatively correlated, and the risk of truck crashes is significantly higher when weather is not clear, and the road is not dry.     

Morbidity and mortality from road traffic crashes in children in Metro West,City of Cape Town – 2014

The road traffic crash injury burden significantly impacts the lives of South African children. This study aimed to assess the fatal and non-fatal pattern of road traffic crash injury of children under 13 years old from Metro West, City of Cape Town, from 1 January until 31 December 2014. The data were stratified by age, sex and mechanism of road traffic crash. The overall mortality rate was 8.7 per 100 000 population and pedestrians contributed the most to this burden (72.5%). There were more male children involved in a road traffic crash (p?=?0.0001). The greatest proportion of fatal and non-fatal road traffic crash injuries was observed in children aged 5–9 years. Fractures contributed to the greatest rate of years lived with disability (3.0 years of life lived with disability per 100 000). Our study found that the burden of road traffic crashes primarily affects male pedestrians aged 5–9 years old.     

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.     

The effect of natural and built environmental characteristics on pedestrian-vehicle crash severity in Ghana

Despite the benefits of walking as a means of travelling, walking can be quite hazardous. Pedestrian-vehicle crashes remain a major concern in Ghana as they account for the highest percentage of fatalities. The objective of this study is to determine the effect of both natural and built environmental features on pedestrian-vehicle crash severity in Ghana. The study is based on an extensive pedestrian-vehicle crash dataset extracted from the National Road Traffic Accident Database at the Building and Road Research Institute (BRRI) of the Council for Scientific and Industrial Research (CSIR), Ghana. Using a multinomial logit modelling framework, possible determinants of pedestrian-vehicle crash severity were identified. The study found that fatal crashes are likely to occur during unclear weather conditions, on weekends, at night time where there are no lights, on curved and inclined roads, on untarred roads, at mid-blocks and on wider roads. The developed model and its interpretations will make important contributions to road crash analysis and prevention in Ghana with the possibility of extension to other developing countries. These contributing factors could inform policy makers on road design and operational improvements.     

Investigation of pedestrian crashes using multiple correspondence analysis in India

Abstract

Pedestrian safety is of growing concern with an increasing number of traffic accidents, especially in developing economies like India. In 2017, there were 20,457 pedestrian fatalities in India. Pedestrian crashes have also become a key concern in the state of Tamilnadu, India, due to the high percentage of deaths. If the available datasets are large and complex, identifying key factors is a challenging task. In this study, Multiple Correspondence Analysis (MCA), an exploratory data analysis technique was used to explore the roadway, traffic, crash, and pedestrian-related variables influencing pedestrian crashes. This study used the data from Government of Tamilnadu Road Accident Traffic Management System (RADMS) database, to analyse accident data of nine years (2009–2017) related to pedestrian crashes. The results of the study show that crashes occurring on the express highways on a multilane road are often associated with hit-and-run behaviour among drivers. Factors such as lighting conditions, location, pedestrian behaviour, crossings, and physical separation are also significantly contributing to pedestrian crashes. The key advantage of MCA is that it identifies a possible association between various contributing factors. The findings from this study will be useful for state transport authorities to improve countermeasures for mitigating pedestrian crashes and fatalities.     

Trends in road traffic crashes and associated injury and fatality in the People’s Republic of China, 1951–1999

The burden of road traffic injuries in the People’s Republic of China is increasing as evidenced by trends since 1951. Data from the National Statistical Office, Ministry of Communications and the Traffic Administration Bureau were analyzed. Absolute numbers of crashes, fatalities, and injuries, as well as fatalities per 100,000 population and motorization (number of vehicles per 1000 population) were used as indices to measure trends. Regional variations in trends and the characteristics of people injured or killed were also analyzed. Road traffic crashes increased 68- fold, from around 6000 in 1951 to 413,000 in 1999. Excessive speed was the main reported cause of the crashes. The injuries increased 56-fold – from around 5000 to 286,000 – and fatalities 97-fold – from 852 to around 84,000 – over the same period. The crash, fatality and injury rates also increased after 1985, due to increased motorization spurred by rapid economic growth. The number of four-wheel motor vehicles increased from 60,000 in 1951 to just under a million four-wheel motor vehicles in 1975 and to 10 million in 1987. The number of four-wheel motor vehicles then rose to 50 million in 1999, with an additional 30 million motorcycles. The increase in motorization and fatalities affected all the provinces. Road traffic injuries are the leading cause of death for populations up to the age of 45 years and the leading cause of working-life years lost in China.     

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.     

An evaluation of the red-light camera programme in the city of Dammam,the Kingdom of Saudi Arabia

This study evaluated the effectiveness of red-light cameras in Dammam, the Kingdom of Saudi Arabia. Two methods were used to assess changes in crash risk at the intersections at which the red-light camera programme had been operating. Geospatial analysis was used to visualize trends in road crash density over the geographical region of Dammam and a pre--post-camera crash analysis was undertaken. The distribution of injury crashes was greater than that of crashes which included property damage, the latter of which was concentrated around central Dammam. The five red-light cameras installed in 2012 were located outside areas of high-crash and injury density, and the total number of crashes reported in the three-month periods after installation was double that before the cameras were installed. This increase in the number of crashes also occurred at the five comparison sites (without red-light cameras), indicating a null effect. The findings from this study are contrary to previous evaluations of speed management programmes associated with red-light cameras. The study highlights the challenges in obtaining data for such research and illustrates that a reliance on overt, fixed camera's to manage speed is unlikely to deliver significant reductions in road trauma.