Progress in pedestrian safety research

Abstract

This paper looks at the pedestrian safety issue and the research that has followed to understand and solve the problem of pedestrian safety in the last 120?years - since the time of the first reported pedestrian fatality in 1899. Researches have studied the epidemiology of pedestrian crashes, pedestrian behaviour, pedestrian movements and pedestrian flows. The suggested strategies to reduce pedestrian crashes have ranged from controlling vehicular speeds to controlling pedestrian behaviour. This study presents a summary of the progress we have made in understanding pedestrian crash patterns. Pedestrian behaviour observed in different regions of the world tend to have similarity in pedestrian behaviour: gap acceptance, preferences of route choice and location for crossing roads. High income countries(HIC) have reported reduction in pedestrian fatalities as compared to low and middle income countries(LMICs), however pedestrian trips have also reduced in these countries leading to concerns about the effectiveness of ‘known’ strategies. Speed control through active measures have been found to have themaximal benefit and education and training programs for altering pedestrian behaviour on the road the least benefits. Low and middle income countries face pedestrian exposure on high speed roads. New research efforts are required to address pedestrian safety in both HIC and LMICs.     

Time to prioritise safe walking

This study draws on information from two recently published documents on pedestrian safety and global status of road safety to draw attention to the need to prioritize safe walking in planning and policy at local, national and international levels. The study shows that each year, more than 270 000 pedestrians lose their lives on the world's roads. The study argues that this situation need not persist because proven pedestrian safety interventions exist but do not attract the merit they deserve in many locations. The study further shows that the key risk factors for pedestrian road traffic injury such as vehicle speed, alcohol use by drivers and pedestrians, lack of infrastructure facilities for pedestrians and inadequate visibility of pedestrians are fairly well documented. The study concludes that pedestrian collisions, like all road traffic crashes, should not be accepted as inevitable because they are, in fact, both predictable and preventable. While stressing that reduction or elimination of risks faced by pedestrians is an important and achievable policy goal, the study emphasizes the importance of a comprehensive, holistic approach that includes engineering, enforcement and education measures.     

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.     

Pattern of road traffic injuries in Ghana: Implications for control

Road traffic injuries and fatalities are increasing in Ghana. Police-collected crash and injury data for the period 1994-1998 were aggregated and analyzed using the MAAP5 accident analysis package developed by the Transport Research Laboratory, U.K. Published results of recent transport-related epidemiological and other surveys provided an additional data source. According to the 1994-1998 police data, road traffic crashes were a leading cause of death and injuries in Ghana. The other leading causes of death and injuries are occupational injuries which involve nonmechanized farming and tribal conflicts. The majority of road traffic fatalities (61.2%) and injuries (52.3%) occurred on roads in rural areas. About 58% more people died on roads in the rural areas than in urban areas, and generally more severe crashes occurred on rural roads compared with urban areas. Pedestrians accounted for 46.2% of all road traffic fatalities. The majority of these (66.8%) occurred in urban areas. The second leading population of road users affected was riders in passenger-ferrying buses, minibuses and trucks. The majority of these (42.8%) were killed on roads that pass through rural areas. Pedestrian casualties were overrepresented (nearly 90%) in five regions located in the southern half of the country. Efforts to tackle pedestrian safety should focus on the five regions of the country where most pedestrian fatalities occur in urban areas. Policies are also needed to protect passengers in commercially operated passenger-ferrying buses, minibuses and trucks because these vehicles carry a higher risk of being involved in fatal crashes.     

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.     

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.     

A hybrid clustering and classification approach for predicting crash injury severity on rural roads

As a threat for transportation system, traffic crashes have a wide range of social consequences for governments. Traffic crashes are increasing in developing countries and Iran as a developing country is not immune from this risk. There are several researches in the literature to predict traffic crash severity based on artificial neural networks (ANNs), support vector machines and decision trees. This paper attempts to investigate the crash injury severity of rural roads by using a hybrid clustering and classification approach to compare the performance of classification algorithms before and after applying the clustering. In this paper, a novel rule-based genetic algorithm (GA) is proposed to predict crash injury severity, which is evaluated by performance criteria in comparison with classification algorithms like ANN. The results obtained from analysis of 13,673 crashes (5600 property damage, 778 fatal crashes, 4690 slight injuries and 2605 severe injuries) on rural roads in Tehran Province of Iran during 2011–2013 revealed that the proposed GA method outperforms other classification algorithms based on classification metrics like precision (86%), recall (88%) and accuracy (87%). Moreover, the proposed GA method has the highest level of interpretation, is easy to understand and provides feedback to analysts.     

Identifying the factors behind fatal and non-fatal road crashes: a case study of Lahore,Pakistan

ABSTRACT

The study identifies the factors behind fatal and non-fatal road crashes in Lahore, Pakistan, by investigating 461 reported cases to Traffic Police Lahore that occurred during January–November 2014. Road crashes are categorized into fatal and non-fatal crashes and, because of the binary nature of the dependent variable, logistic regression is used to identify the factors behind these crashes. As a follow-up, discriminant analysis is employed to classify the factors related to fatal and non-fatal crashes. The logistic regression results reveal that females are at higher risk of fatalities than male drivers. Among vehicle types, rickshaws and cars are more involved in fatal accidents because both are growing at large on roads. Long trucks and trailers are also involved in fatal accidents, mainly because of their huge size and drivers’ risky driving behaviours. It is also noted that risk of fatalities is higher in case where two vehicles bumped each other. Speeding and overloading are the common behaviours resulting in fatal crashes. Better urban transport systems and strict compliance with traffic rules and regulations may improve road safety in Pakistan.     

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.     

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.     

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.     

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.     

Socioeconomic descriptors of fatal crash rates in the Southeast USA

Over the past decades, the Southeast United States has been experiencing consistently higher fatality crash rates compared to other regions of the country. This region also has lower median household incomes, higher percentages of the population below poverty levels, higher percentage of the area classified as rural, and lower percentages of high school completion and university attainment. It is then possible to hypothesize that accident involvement could be affected by these types of socioeconomic characteristics. The objectives of this study were to identify potential socioeconomic factors that could correlate and contribute to the higher fatality crash rates in the Southeast. Driver and vehicle characteristics from the FARS database were related to socioeconomic and demographic Census variables. Crash rates were obtained using the quasi-induced exposure methodology for single- and multi-vehicle crashes. The results show that these socioeconomic characteristics have an impact on single-vehicle crashes but have no statistically significant impact on multi-vehicle crash rates.     

A contemporary analysis of road traffic crashes,fatalities and injuries in Trinidad and Tobago

Road safety, in particular pedestrian safety, is a problem in Trinidad and Tobago. Data were derived from the database of the Traffic and Highway Patrol Unit of the Trinidad and Tobago Police Service. Road traffic crashes in Trinidad and Tobago are largely an urban problem. Four urban areas accounted for nearly three-quarters of reported road traffic crashes, fatalities and injuries. Pedestrians, passengers and drivers accounted for 93% of fatalities and 95% of injuries due to road traffic crashes in 2000. Pedestrians alone accounted for 42% of fatalities and 34% of injuries in 2000. Trends over time show that there has been a decline in fatality rates from 17 deaths per 100,000 population in 1960 to 10 deaths per 100,000 population in 2000, despite rapid motorization. Motorization increased four-fold from 63 registered vehicles per 1000 population in 1960 to 250 vehicles per 1000 population in 2000. In conclusion, effort should be intensified to ensure safety for all road users and, in particular, pedestrians, passengers and drivers. Improved data collection and operational research would improve monitoring and evaluation of policy interventions.     

Severity of alcohol-related motor vehicle crashes in British Columbia: case - control study

The objective of the present study was to compare the injury severity and vehicle damage severity rates of alcohol-related crashes with rates of non-alcohol-related crashes in British Columbia (BC). Injury severity rates and vehicle damage severity rates were taken from 2002 Insurance Corporation of British Columbia traffic collision data. The data were computed in order to compare the differences in injury severity and vehicle damage severity rates of alcohol-related vs. non-alcohol-related motor vehicle crashes. Case - control methods were used in this study to analyse the risk of alcohol-related crashes compared to non-alcohol-related crashes in BC. Odds ratios (OR) and 95% CI were calculated to estimate relative risks. In the case - control analysis, the risk of fatal collision was increased for those drinking and driving compared with those driving sober (OR 4.70; 95% CI 3.15 - 7.01). Risk of injury collision was increased for those drinking and driving compared with those driving sober (OR 1.32; 95% CI 1.19 - 1.37). Importantly, the risk of vehicle damage severity was increased for those drinking and driving compared with those driving sober (write-off vehicle OR 4.24; 95% CI 3.70 - 4.86, severely damaged vehicles OR 1.98; 95% CI 1.77 - 2.21). The study reinforces existing literature to suggest that current evidence is sufficient to show an increased risk of injury and fatality to drivers and occupants in alcohol-related crashes. This paper not only emphasizes this well-known relationship, but also such consequences as increased vehicle damage severity. The connection between drinking and severity of motor vehicle crashes is popularly believed and has now received substantial scientific support. There is strong justification for injury prevention experts and policy-makers to step up motor vehicle crash injury prevention advocacy by implementing evidence-based policies to reduce rates of alcohol-impaired driving in the province of BC. Most unintentional injuries in BC are related to motor vehicle crashes. Significant improvements can be made in these statistics by: increasing the use of occupant protection (safety belt and child restraint seats); reducing alcohol-related injuries through multiple strategies including corrections in the physical environment, extensive enforcement of drinking and driving laws and health promotion/education.     

The association of light trucks and vans with paediatric pedestrian deaths

The hypothesis that relative to cars, light trucks and vans (including sports utility vehicles) are more likely to result in fatal paediatric pedestrian injury was investigated. It was further hypothesized that this increased risk is a result of head injuries. The study sample consisted of 18 117 police records of motor vehicles involved in crashes in which one or more pedestrians aged 5 to 19 years old was injured or killed. Frequencies and case fatality ratios for each vehicle body type were calculated. A logistic regression analysis was conducted, with light truck or van vs. car as the exposure variable and fatal/non-fatal pedestrian injury as the outcome variable. After controlling for driver age, driver gender, vehicle weight, road surface condition and presence of head injury, 5 to 19 year-olds struck by light trucks or vans were more than twice as likely to die than those struck by cars (odds ratio (OR) 2.3; 95% CI 1.4, 3.9). For the 5 to 9 year-old age group, light trucks and vans were four times as likely to be associated with fatal injury (OR 4.2; 95% CI 1.9, 9.5). There was an association between head injury and light trucks and vans (OR 1.2; 95% CI 1.1, 1.3). It was concluded that vehicle body type characteristics play an important role in paediatric pedestrian injury severity and may offer engineering-based opportunities for injury control.     

Road traffic crashes at night-time: characteristics and risk factors

Abstract

The study was to examine the nature and risk factors associated with road traffic crashes at night in Ghana and identify potential measures to control them. Crash and injury data for the period 2013-2017 were analyzed. The fatality index and fatal crash ratio measures were employed to assess the severity of injuries among traffic participants. Statistical analysis was carried out for the variables using contingency tables and the chi-square (χ²) tests to assess statistical significance. Generally, night-time traffic crashes resulted in severer injury outcomes than crashes in the hours of daylight (χ²(2)=292.7, p?<?0.001). The relative risk of death in a night traffic crash was 1.3 times that during the daytime. The risk of death was highest among pedestrians (44%) and motorcyclist (18%) compared to bus/mini-bus occupants (16%) and car occupants (11%) and the observed percentage differences were significant (χ²(14)=2303.2, p?<?0.001). Most of the collisions (67%) occurred at the early hours of the night, between 18:00 and 22:00?hours. Poor night visibility coupled with poor visual guidance on roads are the key contributory risk factors associated with night travels. Policies must be geared towards provision of functioning street lights in built-up areas, road line markings, delineators and signage for the highways and arterial roads.     

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.