Pedestrian crash trends and potential countermeasures from around the world

In-depth approach for identifying crash causation patterns and its implications for pedestrian crash prevention

INTRODUCTION

A pedestrian crash occurs due to a series of contributing factors taking effect in an antecedent-consequent order. One specific type of antecedent-consequent order is called a crash causation pattern. Understanding crash causation patterns is important for clarifying the complicated growth of a pedestrian crash, which ultimately helps recommend corresponding countermeasures. However, previous studies lack an in-depth investigation of pedestrian crash cases, and are insufficient to propose a representative picture of causation patterns.

METHOD

In this study, pedestrian crash causation patterns were discerned by using the Driving Reliability and Error Analysis Method (DREAM). One hundred and forty-two pedestrian crashes were investigated, and five pedestrian pre-crash scenarios were extracted. Then, the crash causation patterns in each pre-crash scenario were analyzed; and finally, six distinct patterns were identified. Accordingly, 17 typical situations corresponding to these causation patterns were specified as well.

RESULTS

Among these patterns, the pattern related to distracted driving and the pattern related to an unexpected change of pedestrian trajectory contributed to a large portion of the total crashes (i.e., 27% and 24%, respectively). Other patterns also played an important role in inducing a pedestrian crash; these patterns include the pattern related to an obstructed line of sight caused by outside objects (9%), the pattern that involves reduced visibility (13%), and the pattern related to an improper estimation of the gap distance between the vehicle and the pedestrian (10%). The results further demonstrated the inter-heterogeneity of a crash causation pattern, as well as the intra-heterogeneity of pattern features between different pedestrian pre-crash scenarios. Conclusions and practical applications: Essentially, a crash causation pattern might involve different contributing factors by nature or dependent on specific scenarios. Finally, this study proposed suggestions for roadway facility design, roadway safety education and pedestrian crash prevention system development.

At what cost? How planned collisions with pedestrians may save lives

Pedestrian avoidance algorithms often tacitly assume that the maneuver which minimizes collisions will also be the safest maneuver. This work shows that this is not always the case when considering pedestrian fatalities. Given the unavoidable uncertainty in vehicle motion, environmental parameters, and pedestrian behavior, emergency avoidance maneuvers often involve some chance of a collision. Maneuvers that aim to keep the vehicle as far away from the pedestrian as possible will theoretically minimize collisions; but if this strategy is followed and a collision occurs nonetheless, it will often be at a higher speed than would occur with alternative strategies. This is a result of the tires' friction ellipse which enforces a constraint between steering versus braking; for collision avoidance, braking must be reduced if pedestrian clearance is to be maximized. This work shows that in some common pedestrian collision situations, the net effect of this increase in vehicle speed for pure avoidance offsets the benefits of reducing collisions. Pedestrians, if hit, would be hit at higher speeds leading to a net reduction in pedestrian survivability for collision-minimizing maneuvers. First, this trend is demonstrated and explained using a simplified point-mass model of a vehicle, which is then verified with a higher-fidelity vehicle model as well as experimental maneuvers with an instrumented vehicle. While real accidents involve dozens of important parameters, this research provides a general framework for an under-recognized effect under certain common conditions. The implication of this finding suggests that future research in pedestrian avoidance should consider fatality minimization as an alternative objective to collision minimization.

Reduction of pedestrian death rates: a missed global target

Background

The UN Decade of Action for Road Safety aimed to reduce road traffic deaths by half by year 2020. We aimed to study risk factors affecting global pedestrian death rates overtime, and whether the defined target of its reduction by WHO has been achieved.

Methods

The studied variables were retrieved from the WHO Global Status Reports on Road Safety published over 2010–2018. These covered years 2007–2016 and included the estimated road traffic death rates per 100,000 population, policies to promote walking and cycling, enforcement levels of national speed limits, the gross national income per capita and the vehicle/person ratio in each country. A mixed linear model was performed to define the factors affecting the change of pedestrian death rates overtime.

Results

Global pedestrian mortality decreased by 28% over 10 years. This was significant between years 2007 and 2010 (p = 0.034), between years 2013 and 2016 (p = 0.002) but not between 2010 and 2013 (p = 0.06). Factors that reduced pedestrian death rates included time (p < 0.0001), GNI (p < 0.0001), and vehicle/person ratio (p < 0.0001). There was a significant drop overtime in both the middle-income, and high-income countries (p < 0.0001, Friedman test), but not in the low-income countries (p = 0.35, Friedman test).

Conclusions

Global pedestrian mortality has dropped by 28% over a recent decade, which is less than the 50% targeted reduction. This was mainly driven by improved GNI and using more vehicles. The economical gap between poor and rich countries has a major impact on pedestrian death rates.

How do drivers overtake pedestrians? Evidence from field test and naturalistic driving data

For pedestrians, the risk of dying in a traffic accident is highest on rural roads, which are often characterized by a lack of sidewalks and high traffic speed. In fact, hitting the pedestrian during an overtaking attempt is a common crash scenario. To develop active safety systems that avoid such crashes, it is necessary to understand and model driver behavior during the overtaking maneuvers, so that system interventions are acceptable because they happen outside drivers' comfort zone. Previous modeling of driver behavior in interactions with pedestrians primarily focused on road crossing scenarios. The aim of this study was, instead, to address pedestrian-overtaking maneuvers on rural roads. We focused our analysis on how drivers adjust their behavior with respect to three safety metrics (in order of importance): 1) minimum lateral clearance when passing the pedestrian, 2) overtaking speed at that moment, and 3) the time-to-collision at the moment of steering away to start the overtaking maneuver. The influence of three factors on the safety metrics was investigated: 1) walking direction (same as the overtaking vehicle or opposite), 2) walking position (on the edge of the vehicle lane or 0.5 m away from the edge on the paved shoulder), and 3) oncoming traffic (absent or present). Seventy-seven overtaking maneuvers in France from the naturalistic driving study UDRIVE and 297 maneuvers in Sweden from field tests were analyzed. Bayesian regression was used to model how minimum lateral clearance and overtaking speed depended on the three factors. Results showed that drivers maintained smaller minimum lateral clearance and lower overtaking speed when the pedestrian was walking in the opposite direction, on the lane edge, or when oncoming traffic was present. Minimum lateral clearance and time-to-collision were only weakly correlated with overtaking speed. The regression models predicted distributions similar to those actually observed in the data. The time-to-collision at the moment of steering away was comparable in value to the time-to-collision used by Euro NCAP for testing active safety systems in car-to-pedestrian longitudinal scenarios since 2018. This study is the first to analyze driver behavior when overtaking pedestrians, based on field test and naturalistic driving data. Results suggest that pedestrian safety is particularly endangered in situations when the pedestrian is walking opposite to traffic, close to the lane, and when oncoming traffic is present. The Bayesian regression models from this study can be used in active safety systems to model drivers' comfort in overtaking maneuvers.

A Multilevel Model Approach for Investigating Individual Accident Characteristics and Neighborhood Environment Characteristics Affecting Pedestrian-Vehicle Crashes

Walking is the most basic movement of humans and the most fundamental mode of transportation. To promote walking, it is necessary to create a safe environment for pedestrians. However, pedestrian-vehicle crashes still remain relatively high in South Korea. This study employs a multilevel model to examine the differences between the lower-level individual characteristics of pedestrian crashes and the upper-level neighborhood environmental characteristics in Seoul, South Korea. The main results of this study are as follows. The individual characteristics of pedestrian-vehicle crashes are better at explaining pedestrian injury severity than built environment characteristics at the neighborhood level. Older pedestrians and drivers suffer more severe pedestrian injuries. Larger vehicles such as trucks and vans are more likely to result in a high severity of pedestrian injuries. Pedestrian injuries increase during inclement weather and at night. The severity of pedestrian injuries is lower at intersections and crosswalks without traffic signals than at crosswalks and intersections with traffic signals. Finally, school zones and silver zones, which are representative policies for pedestrian safety in South Korea, fail to play a significant role in reducing the severity of pedestrian injuries. The results of this study can guide policymakers and planners when making decisions on how to build neighborhoods that are safer for pedestrians.

Intelligent Intersection Control for Delay Optimization: Using Meta-Heuristic Search Algorithms

Traffic signal control is an integral component of an intelligent transportation system (ITS) that play a vital role in alleviating traffic congestion. Poor traffic management and inefficient operations at signalized intersections cause numerous problems as excessive vehicle delays, increased fuel consumption, and vehicular emissions. Operational performance at signalized intersections could be significantly enhanced by optimizing phasing and signal timing plans using intelligent traffic control methods. Previous studies in this regard have mostly focused on lane-based homogenous traffic conditions. However, traffic patterns are usually non-linear and highly stochastic, particularly during rush hours, which limits the adoption of such methods. Hence, this study aims to develop metaheuristic-based methods for intelligent traffic control at isolated signalized intersections, in the city of Dhahran, Saudi Arabia. Genetic algorithm (GA) and differential evolution (DE) were employed to enhance the intersection’s level of service (LOS) by optimizing the signal timings plan. Average vehicle delay through the intersection was selected as the primary performance index and algorithms objective function. The study results indicated that both GA and DE produced a systematic signal timings plan and significantly reduced travel time delay ranging from 15 to 35% compared to existing conditions. Although DE converged much faster to the objective function, GA outperforms DE in terms of solution quality i.e., minimum vehicle delay. To validate the performance of proposed methods, cycle length-delay curves from GA and DE were compared with optimization outputs from TRANSYT 7F, a state-of-the-art traffic signal simulation, and optimization tool. Validation results demonstrated the adequacy and robustness of proposed methods.

Modelling risk factors for fatal pedestrian crashes in Kolkata, India

In developing countries, pedestrian safety is an issue of major concern. Although an extensive body of literature is available on the identification of elements related to the pedestrian's risk; the studies are primarily conducted in urban areas of developed countries. The findings from these studies may only be partially relevant to the cities of an emerging country such as India. The present study analyzes historical crash records obtained from the "Kolkata Police" and identifies the risk factors at the road network level for the hazardous corridors posing a high risk to the pedestrians. The study findings reveal that pedestrians' fatalities at intersections are associated with a high vehicular volume, higher pedestrian-vehicular interaction, high approach speed, overtaking tendency of vehicles, certain land-use type, encroachment of footpath, inadequate sight distance, inaccessible pedestrian crosswalk, wider minor carriageway, the absence of a pedestrian signal head, and lack of enforcement. On the other hand, the models outcomes reveal that pedestrians' fatalities at midblock road segments are associated with low pedestrian volume, high approach speed, overtaking tendency of the vehicle, encroachment of footpath, on-street parking, wider road width, certain land-use type, inadequate sight distance, insufficient lighting, and inadequate pavement markings.

Progress in pedestrian safety research

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.

Elderly pedestrians' self-regulation failures and crash involvement: The development of typologies

The present study aims to identify, study, and develop typologies based on cases of elderly pedestrian collisions with vehicles where the pedestrians subjectively ascribe the collision at least in part to their own self-regulation failures. Semistructured interview surveys were conducted with 18 elderly people who had experienced a crash with a vehicle as a pedestrian aged 65 years or older. Personal construct theory is adopted as the theoretical underpinning, and it is assumed that pedestrians have their own subjective ways of making sense of the crashes they are involved in. It was found that 11 of the 18 participants ascribed the crashes at least in part to their own self-regulation failures. Cognitive maps of the 11 participants had a common structure, and the associated 11 incidents were classified with respect to the following dimensions: (a) self-regulation type, (b) self-regulation motivation, (c) cause of self-regulation failure, and (d) characteristics of the collisions that occurred after the self-regulation failure. Based on these findings, practical implications are found, and corresponding interventions that may reduce elderly pedestrian-vehicle crashes of this type are discussed. Specifically, this study demonstrates the necessity of education or other intervention that goes beyond informing elderly pedestrians of what is right and wrong in traffic environments. Another critical result-the need to motivate elderly pedestrians to respect and adhere to their own highly personal self-regulation, even if it is not against the social norms-is also presented and discussed.

Who is more vulnerable in crashes between motorized 2-wheelers and pedestrians?

Objective: The objective of this study was to understand the characteristics and underlying contributing factors in crashes between motorized 2-wheelers (M2Ws) and pedestrians in India.Methods: For the purpose of this study, data from the Road Accident Sampling System-India (RASSI) collected from April 1, 2011, to March 31, 2018, were analyzed. A sample of 97 crashes between M2Ws and pedestrians was studied to understand their characteristics and contributing factors.Results: Seventy percent of the crashes occurred while pedestrians were crossing the road. Seventy-five percent of M2W riders and 47% of pedestrians with age indicated were in the age group 21-50. Seventy-eight percent of M2W riders were not wearing helmets. Maximum Abbreviated Injury Scale (MAIS) 3+ injuries were sustained by 55% of pedestrians and 32% of M2W riders. Poor pedestrian infrastructure or a lack thereof influenced the occurrence of 63% of crashes.Conclusions: This study shows that M2Ws pose a considerable risk to pedestrians in terms of causing fatal and serious injuries in such inter-vulnerable road user (VRU) crashes. Though helmet enforcement could aid in mitigating injuries among M2W riders, proper infrastructure planning would benefit both. Further study is warranted to explore other dimensions of inter-VRU crashes.

A comparative study of safe and unsafe signalized intersections from the view point of pedestrian behavior and perception

Signalized intersections with marked crosswalks enhance pedestrian safety by providing the designated right of way to pedestrians. However, a significant number of pedestrian fatalities occur at signalized intersections, which may primarily be due to pedestrians' violation behaviors. Since pedestrians' fatalities are not uniform across signalized intersections in a city, it may be expected that violations would also vary across the sites. It is thus worthwhile to investigate if the pedestrian signal violation is a good surrogate for fatal pedestrian crashes at signalized intersections, and if so, what behavioral, spatial, and built environment related factors influence such violations. To this end, present study analyzes pedestrian behavior and perceptions across twenty-four signalized intersections in Kolkata city, India, out of which twelve intersections did not record any fatal pedestrian crashes between 2011 and 2016 and the remaining twelve experienced at least three or more fatal pedestrian crashes over the same period. Using data from the video-graphic survey at these twenty-four signalized intersections violation behaviors are extracted along with personal attributes at the pedestrian level. Further, pedestrian perception surveys are carried out at each of the twenty-four sites, to obtain a user's perception of safety and satisfaction. Results indicate that pedestrians' signal violations behavior and dissatisfaction are statistically significantly higher at locations with recorded fatal pedestrian crashes. Results from different models and analysis clearly pointed out several planning and design deficiencies such as longer waiting time before crossing, higher pedestrian-vehicular interaction, pedestrian's state of crossing, and a number of personal level attributes such as pedestrian's intended mode of transportation and their state of journey, pedestrian's home location, pedestrian's socio-demographic characteristics as important predictors of pedestrians' violation behavior. The methodology and findings are useful not only for proactive safety improvement at signalized intersections but also to proactively identify potential unsafe sites.

A Critical Review of Policies on Pedestrian Safety and a Case Study of New Zealand

Vulnerable road users contribute to nearly half of road deaths globally. In New Zealand, this group accounts for 26% of road deaths, which includes 8% of pedestrian crashes. This paper provides a critical review of the road safety policies from the pedestrian’s viewpoint for some of the best performing countries and discusses their effectiveness for the future. A case study is conducted for New Zealand to identify factors contributing to the pedestrian crashes and investigate the impact of the road safety policies on pedestrian crash trends. The policies are predominantly well informed by evidence-based approaches contributing to an overall reduction in the number of road crashes. However, little attention has been paid on pedestrian behaviour related to crashes. Finally, the paper makes recommendations for improving pedestrian safety to enable better safety outcomes that are closer to vision zero.

Spatial analysis of mortality rate of pedestrian accidents in Iran during 2012-2013

Objectives: Considering the high mortality rate of pedestrians in traffic accidents in Iran, the present study aimed to determine the high-risk and low-risk areas of accidents resulting in pedestrian deaths and the spatial analysis of their mortality rates. Methods: This cross-sectional study included 4,371 deceased pedestrians reported by the Legal Medicine Organization in Iran from March 2012 to March 2013. For spatial analysis, the collected data were entered into ArcGIS software version 10.2 and a spatial map of the mortality rate was drawn according to the distribution of data in the provinces. Using this software, high-risk and low-risk areas were identified by calculating the spatial autocorrelation of the data. The Moran's index of road accident patterns was surveyed and high-risk and low-risk points were identified using the local Getis index. Results: The age-standardized incidence rate was 6.8 per 100,000. After analyzing the data using ArcGIS software, the local Moran's index showed a cluster pattern with a high mortality rate in 3 provinces of Mazandaran, Gilan, and Qazvin. In identifying high-risk and low-risk points, the local Getis index showed 3 hot spots with a confidence interval of 99% in Qom, Qazvin, and Mazandaran and 5 hot spots with a 95% confidence interval in Markazi, Tehran, Zanjan, Gilan, and Golestan provinces. Conclusions: According to the cluster pattern of accidents in the 3 provinces and the presence of hot spots in 9 provinces, it is necessary to identify factors that increase the risk of death in the study provinces in order to reduce the mortality rate among pedestrians due to traffic accidents. Therefore, to reduce the pedestrian mortality rate, especially in high-risk provinces, some studies need to be conducted to determine the risk factors in pedestrian mortality.

Exposure to pedestrian crash based on household survey data: Effect of trip purpose

Pedestrian are vulnerable to severe injury and mortality in the road crashes. Understanding the essence of the pedestrian crash is important to the development of effective safety countermeasures and improvement of social well-being. It is necessary to measure the exposure for the quantification of pedestrian crash risk. The primary goals of this study are to explore the efficient exposure measure for pedestrian crash, and identify the possible factors contributing to the incidence of pedestrian crash. In this study, amount of travel was estimated based on the Travel Characteristic Survey (TCS) data in 2011, and the crash data were obtained from the Transport Information System (TIS) of the Hong Kong Transport Department during the period from 2011 to 2015. Total population, walking frequency and walking time were adopted to represent the pedestrian exposure to road crash. The effect of trip purpose on pedestrian crash was evaluated by disaggregating the pedestrian exposure proxies by purpose. Three random-parameter negative binomial regression models were developed to compare the performances of the three pedestrian exposure proxies. It was found that the model in which walking frequency was used as the exposure proxy provided the best goodness-of-fit. Frequency of walking back home, among other trip purposes, was the most sensitive to the increase in pedestrian crash risk. Additionally, increase in the frequency of pedestrian crash was correlated to the increases in the proportions of children and elderly people. Furthermore, household size, median household income, road density, number of non-signalized intersection as well as number of zebra crossings also significantly affected the pedestrian crash frequency. Findings of this study should be indicative to the development and implementation of effective traffic control and management measures that can improve the pedestrian safety in the long run.

A clustering approach to integrate traffic safety in road maintenance prioritization

Objectives: We combine data on roads and crash characteristics to identify patterns in road traffic crashes with regard to road characteristics. We illustrate how combined analysis of data regarding road maintenance, maintenance costs, road characteristics, crash characteristics, and geographical location can enrich road maintenance prioritization from a traffic safety perspective. Methods: The study is based on traffic crash data merged with road maintenance data and annual average daily traffic (AADT) collected in Denmark. We analyzed 3,964 crashes that occurred from 2010 to 2015. A latent class clustering (LCC) technique was used to identify crash clusters with different road and crash characteristics. The distribution of crash severity and estimated road maintenance costs for each cluster was found and cluster differences were compared using the chi-square test. Finally, a map matching procedure was used to identify the geographical distribution of the crashes in each cluster. Results: Results showed that based on road maintenance levels there was no difference in the distribution of crash severity. The LCC technique revealed 11 crash clusters. Five clusters were characterized by crashes on roads with a poor maintenance level (levels 4 and 3). Only a few of these crashes included a vulnerable road user (VRU) but many occurred on roads without barriers. Four clusters included a large share of crashes on acceptably maintained roads (level 2). For these clusters only small variations in road characteristics were found, whereas the differences in crash characteristics were more dominant. The last 2 clusters included crashes that mainly occurred on new roads with no need for maintenance (level 1). Injury severity, estimated maintenance costs, and geographical location were found to be differently distributed for most of the clusters. Conclusions: We find that focusing solely on road maintenance and crash severity does not provide clear guidance of how to prioritize between road maintenance efforts from a traffic safety perspective. However, when combined with geographical location and crash characteristics, a more nuanced picture appears that allows consideration of different target groups and perspectives.

Road risk behaviors: Pedestrian experiences

Objective: The objective of this study was to identify pedestrian risk behaviors that result in traffic accidents and characterization of the accidents experienced by participants in this study to provide information for the generation of integral preventive strategies. Methods: The study was correlational, descriptive, and transversal and followed a quantitative approach divided into 2 stages. In the first stage, an observational study was performed to identify the manifested risk behaviors of pedestrians, which served as a basis for the construction and design of a questionnaire. In the second stage, the questionnaire was applied to a group of 1,536 participants. Pearson's correlation coefficient was applied to establish associations between gender and age with respect to risk behaviors. Results: The 3 behaviors that participants reported performing always or very often include using electronic gadgets (except mobile phones), not using a pedestrian crosswalk, and using a mobile phone. In addition, 18.5% were involved in at least one road accident as a pedestrian in the last 5 years. Of the total number of registered accidents, 21% resulted in pedestrian injuries, 48.3% of which were serious. These were due to external causes not related to human factors or unidentified (58.5%) and behavior factors as a whole (41.4%, 31.5% of which were caused by pedestrians). Pearson's correlation coefficient showed evidence of a correlation between age and risk behaviors. Conclusions: All subjects in this study performed several risky actions as pedestrians, at least occasionally, and at least one fifth had been involved in a road accident as a pedestrian. It is known that the surroundings can positively or negatively influence individuals' behaviors; therefore, once prevention measures are identified, it is possible to influence risk behaviors. Therefore, road safety education and the physical environment must be considered together, and efforts focused on optimum infrastructure also need to consider road safety education.

Influence of drivers' psychological risk profiles on the effectiveness of traffic calming measures

Road traffic injuries represent a serious public health problem and are one of leading cause of death, injury and disability around the world. Road accidents are often caused by an accumulation of factors; however, drivers appear to be by far the most decisive one. The driver's behaviour is complex and depends on reflex (or involuntary) and voluntary driving actions. The first class of actions (reflex actions) are typical human reactions that remain inaccessible to awareness and refer to the direct interaction between the road user and the characteristics of the road and its surrounding environment. Conversely, voluntary actions are conscious behaviours adopted on the basis of planned decisions. Both types of driving actions act simultaneously and the interaction between them and their relative effects on road safety are an aspect not yet well examined. The main objective of this study was to provide, by means of a driving simulation experiment, an insight on this interaction by evaluating the influence of some psychological characteristics on the effectiveness of different types of traffic calming measures at pedestrian crossings, designed according to the Human Factors principles. Fifty-eight participants drove a virtual urban route while data on their performance, as they approached five configurations of pedestrian crossings equipped with different physical and perceptual treatments, were collected. The participants were preliminarily characterized by means of two psychological questionnaires, which allowed the identification of three distinct groups of drivers belonging to three risk profiles (careful, worried, and at risk). The three groups of drivers reacted differently to the proposed engineering treatments, confirming the clustering identified by the preliminary analysis. The results showed that the proposed traffic calming measures are effective on all psychological sub-groups of drivers, with different effectiveness. These first results support that, in the considered driving environment (pedestrian crossings), the Human Factors approach, with which traffic calming measures can be arranged, could be effective, even if different psychological sub-groups are differently affected.

Investigating safety of vulnerable road users in selected EU countries

PROBLEM

Vulnerable road users comprise over half of all road accident victims in the EU and their safety situation is not improving as fast as for motorists. The paper examines factors affecting fatality risk of pedestrians, cyclists, motorcyclists, and moped riders in seven EU countries using data from CARE database.

METHOD

Comparing accident severity indicators between countries is problematic because of data quality issues, different degree of underreporting, and different exposure levels. To avoid bias arising from these issues, fatality risk is modeled with binary logistic regression. Risk factors considered include accident location by area type, junction type, and traffic control, as well as lighting condition. Results are presented as odds ratios of fatal accident outcome in different countries under specific circumstances compared to reference conditions. It is shown that the error in OR values due to underreporting is small.

RESULTS AND DISCUSSION

Wide confidence intervals of the odds ratios in some countries confirm problems with accident data quality. Fatality risk is always higher for non-urban versus urban area and for darkness versus daylight conditions, but the odds ratios are different for different countries. Inconsistent results are obtained for accident location with respect to junction and its control type. Possible reasons for these differences are suggested and discussed. Practical applications: The proposed method avoids the data quality bias of accident severity indicators, thus, it can be used in international comparisons of vulnerable road user accidents. The article findings also support the concept of changes in legislation, such as reducing the speed limit in urban areas in Poland at night. Generally, the experience of countries with low VRU fatality risk identified in the article can be transferred to those with a higher risk.

Distracted Pedestrian Behavior on two Urban College Campuses

Pedestrian injuries injure about 180,000 individuals and kill 6000 each year in the United States, and pedestrian injury rates have increased each of the last several years. Distracted pedestrian behavior may play a role in the trend of increasing risk for pedestrian injury. Using in vivo behavioral coding over the course of  two weeks on two urban college campuses, this study aimed to (1) understand the type and rate of distractions engaged in by pedestrians on urban college campuses, and (2) investigate the impact of distraction on street-crossing safety and behavior. A total of 10,543 pedestrians were observed, 90% of them young adults. Over one-third of those pedestrians were distracted while actively crossing roadways. Headphones were the most common distraction (19% of all pedestrians), followed by text-messaging (8%) and talking on the phone (5%). Women were more likely to text and talk on the phone than men, and men were more likely to be wearing headphones. Distracted pedestrians were somewhat less likely to look for traffic when they entered roadways. As handheld device usage continues to increase, behavioral interventions should be developed and implemented. Changes to policy concerning distracted pedestrian behavior, including improvement of the built environment to reduce pedestrian risk, should be considered in busy pedestrian areas like urban college campuses.

Exploring patterns of child pedestrian behaviors at urban intersections

Children are more vulnerable as pedestrians due to their cognitive, physical and behavioral traits. However, walking is one of the main forms of travel for children, particularly during leisure hours. Child pedestrian injury primarily occurs in urban areas, with a significant share at crosswalks. This study observed child pedestrian behaviors at crosswalks of urban intersections aiming to characterize their behavior patterns and identify risk factors that may lead to injury. Crossing behaviors of children and adolescents up to age 18, during leisure hours, were video-recorded at 29 crosswalks, on signalized and un-signalized intersections situated on collector roads. Some children used pedestrian crosswalks while riding a bicycle or other non-motorized means; they were also included in the sample. Behaviors of 2930 young road users were encoded and compared by age groups. Multivariate logistic regression models were adjusted to identify factors associated with crossing on red and with non-checking vehicle traffic at un-signalized crosswalks. The findings pointed to different behavior patterns for the various child age groups. Risk-taking behaviors are higher for older children; adolescents aged 14-17 cross more on red, without checking traffic, outside crosswalk boundaries and while distracted. At all types of sites, a fifth of children over the age of 9 crossed by riding, the probability of crossing on red and of non-checking traffic prior to crossing at an un-signalized crosswalk was higher for children riding an electric bicycle or kick-scooter. The non-checking of traffic was also higher when a child is distracted by a mobile phone or other electronic gadget, or carries a big object. Children under age 9 were usually accompanied by adults but still exhibited risk-taking behaviors that apparently mirrored those of the adults. Risk-taking behaviors of young road users should be taken into account in the development of injury prevention programs focusing on child and parent education and training, and by adapting the urban environment to better meet their needs.

Bayesian approach to model pedestrian crashes at signalized intersections with measurement errors in exposure

This study intended to identify the potential factors contributing to the occurrence of pedestrian crashes at signalized intersections in a densely populated city, based on a comprehensive dataset of 898 pedestrian crashes at 262 signalized intersections during 2010-2012 in Hong Kong. The detailed geometric design, traffic characteristics, signal control, built environment, along with the vehicle and pedestrian volumes were elaborately collected. A Bayesian measurement errors model was introduced as an alternative method to explicitly account for the uncertainties in volume data. To highlight the role played by exposure, models with and without pedestrian volume were estimated and compared. The results indicated that the omission of pedestrian volume in pedestrian crash frequency models would lead to reduced goodness-of-fit, biased parameter estimates, and incorrect inferences. Our empirical analysis demonstrated the existence of moderate uncertainties in pedestrian and vehicle volumes. Six variables were found to have a significant association with the number of pedestrian crashes at signalized intersections. The number of crossing pedestrians, the number of passing vehicles, the presence of curb parking, and the presence of ground-floor shops were positively related with pedestrian crash frequency, whereas the presence of playgrounds near intersections had a negative effect on pedestrian crash occurrences. Specifically, the presence of exclusive pedestrian signals for all crosswalks was found to significantly reduce the risk of pedestrian crashes by 43%. The present study is expected to shed more light on a deeper understanding of the environmental determinants of pedestrian crashes.

Viewpoints of pedestrians with and without cognitive impairment on shared zones and zebra crossings

Background

Shared zones are characterised by an absence of traditional markers that segregate the road and footpath. Negotiation of a shared zone relies on an individual’s ability to perceive, assess and respond to environmental cues. This ability may be impacted by impairments in cognitive processing, which may lead to individuals experiencing increased anxiety when negotiating a shared zone.

Method

Q method was used in order to identify and explore the viewpoints of pedestrians, with and without cognitive impairments as they pertain to shared zones.

Results

Two viewpoints were revealed. Viewpoint one was defined by “confident users” while viewpoint two was defined by users who “know what [they] are doing but drivers might not”.

Discussion

Overall, participants in the study would not avoid shared zones. Pedestrians with intellectual disability were, however, not well represented by either viewpoint, suggesting that shared zones may pose a potential barrier to participation for this group.

Epidemiology of Pedestrian-Motor Vehicle Fatalities and Injuries, 2006-2015

INTRODUCTION

Pedestrian road safety remains a public health priority. The objective of this study is to describe trends in fatalities and injuries after pedestrian-motor vehicle collisions in the U.S. and identify associated risk factors for pedestrian fatalities.

METHODS

This is a cross-sectional study of U.S. pedestrian-motor vehicle collisions from 2006 to 2015 (performed in 2017). Pedestrian fatality and injury data were obtained from the National Highway Traffic Safety Administration's Fatality Analysis Reporting System and National Automotive Sampling System General Estimates System. Frequencies of fatalities, injuries, and associated characteristics were calculated. Multivariable logistic regression was performed for risk of fatality, controlling for demographic and crash-related factors.

RESULTS

There were 47,789 pedestrian fatalities and 674,414 injuries during the 10-year study period. Fatality rates were highest among the elderly aged 85 years and older (2.95/100,000 population), whereas injury rates were highest for those aged 15-19 years (35.23/100,000 population). Predictors associated with increased risk for death include the following: male sex (AOR=1.36, 95% CI=1.15, 1.62), age ≥65 years (AOR=3.44, 95% CI=2.62, 4.50), alcohol involvement (AOR=2.63, 95% CI=1.88, 3.67), collisions after midnight (AOR=5.21, 95% CI=3.20, 8.49), at non-intersections (AOR=2.76, 95% CI=2.21, 3.45), and involving trucks (AOR=2.15, 95% CI=1.16, 3.97) and buses (AOR=5.82, 95% CI=3.67, 9.21).

CONCLUSIONS

Potentially modifiable factors are associated with increased risk of death after pedestrian-motor vehicle collisions. Interventions including elder-friendly intersections and increasing visibility of pedestrians may aid in decreasing pedestrian injuries and deaths.

A study of fatal pedestrian crashes at rural low-volume road intersections in southwest China

OBJECTIVE

Although intersections correspond to a small proportion of the entire roadway system, they account for a disproportionally high number of fatal pedestrian crashes, especially on rural roads situated in low- and middle-income countries. This article examines pedestrian safety at rural intersections and suggests applicable accident prevention treatments by providing an in-depth analysis of 28 fatal pedestrian crashes from 8 low-volume roads in southwest China.

METHODS

The driving reliability and error analysis method (DREAM) is a method to support a systematic classification of accident causation information and to facilitate aggregation of that information into patterns of contributing factors. This is the first time that DREAM was used to analyze pedestrian-vehicle crashes and provide suggestions for road improvements in China.

RESULTS

The key issues adversely affecting pedestrian safety can be organized in 4 distinctive thematic categories, namely, deficient intersection safety infrastructure, lack of pedestrian safety education, inadequate driver training, and insufficient traffic law enforcement. Given that resources for traffic safety investments in rural areas are limited, it is determined that the potential countermeasures should focus on low-cost, easily implementable, and long-lasting measures increasing the visibility and predictability of pedestrian movement and reducing speeding and irresponsible driving among drivers and risk-taking behaviors among pedestrians.

CONCLUSIONS

Accident prevention treatments are suggested based on their suitability for rural areas in southwest China. These countermeasures include introducing better access management and traffic calming treatments, providing more opportunities for pedestrian education, and enhancing the quality of driver training and traffic law enforcement.

Pedestrian fatality and impact speed squared: Cloglog modeling from French national data

OBJECTIVE

The present study estimates pedestrians' risk of death according to impact speed when hit by a passenger car in a frontal collision.

METHODS

Data were coded for all fatal crashes in France in 2011 and for a random sample of 1/20th of all road injuries for the same year and weighted to take into account police underreporting of mild injury. A cloglog model was used to optimize risk adjustment for high collision speeds. The fit of the model on the data was also improved by using the square of the impact speed, which best matches the energy dissipated in the collision.

RESULTS

Modeling clearly demonstrated that the risk of death was very close to 1 when impact speeds exceeded 80 km/h. For speeds less than 40 km/h, because data representative of all crashes resulting in injury were used, the estimated risk of death was fairly low. However, although the curve seemed deceptively flat below 50 km/h, the risk of death in fact rose 2-fold between 30 and 40 km/h and 6-fold between 30 and 50 km/h. For any given speed, the risk of death was much higher for more elderly subjects, especially those over 75 years of age. These results concern frontal crashes involving a passenger car. Collisions involving trucks are far less frequent, but half result in the pedestrian being run over, incurring greater mortality.

CONCLUSIONS

For impact speeds below 60 km/h, the shape of the curve relating probability of death to impact speed was very similar to those reported in recent rigorous studies. For higher impact speeds, the present model allows the curve to rise ever more steeply, giving a much better fit to observed data. The present results confirm that, when a pedestrian is struck by a car, impact speed is a major risk factor, thus providing a supplementary argument for strict speed limits in areas where pedestrians are highly exposed.

The joint effect of personality traits and perceived stress on pedestrian behavior in a Chinese sample

While improper pedestrian behavior has become an important factor related to road traffic fatalities, especially in developing countries, the effects of personality traits and/or stress on pedestrian behavior have been rarely reported. The current study explored the joint effects of five personality traits (i.e., extraversion, openness, neuroticism, normlessness and altruism) and global perceived stress (measured with the Perceived Stress Scale-10) on pedestrian behavior (measured with the Pedestrian Behavior Scale) in 311 Chinese individuals. Results showed that altruism, neuroticism and openness significantly affected different pedestrian behavior dimensions, while global perceived stress also significantly and positively predicted positive behavior. Moreover, the effect of neuroticism on positive behavior was fully mediated by stress. Some explanations and implications are provided in the discussion section.

Rethinking safety in numbers: are intersections with more crossing pedestrians really safer?

Objective

To advance the interpretation of the ‘safety in numbers’ effect by addressing the following three questions. How should the safety of pedestrians be measured, as the safety of individual pedestrians or as the overall safety of road facilities for pedestrians? Would intersections with large numbers of pedestrians exhibit a favourable safety performance? Would encouraging people to walk be a sound safety countermeasure?

Methods

We selected 288 signalised intersections with 1003 pedestrian crashes in Hong Kong from 2010 to 2012. We developed a Bayesian Poisson-lognormal model to calculate two common indicators related to pedestrian safety: the expected crash rate per million crossing pedestrians and the expected excess crash frequency. The ranking results of these two indicators for the selected intersections were compared.

Results

We confirmed a significant positive association between pedestrian volumes and pedestrian crashes, with an estimated coefficient of 0.21. Although people who crossed at intersections with higher pedestrian volumes experienced a relatively lower crash risk, these intersections may still have substantial potential for crash reduction.

Conclusions

Conclusions on the safety in numbers effect based on a cross-sectional analysis should be reached with great caution. The safety of individual pedestrians can be measured based on the crash risk, whereas the safety of road facilities for pedestrians should be determined by the environmental hazards of walking. Intersections prevalent of pedestrians do not always exhibit favourable safety performance. Relative to increasing the number of pedestrians, safety strategies should focus on reducing environmental hazards and removing barriers to walking.

Effects of speed-control measures on the safety of unsignalized midblock street crossings in China

OBJECTIVE

The primary objective of this study was to evaluate the effects of different speed-control measures on the safety of unsignalized midblock street crossings.

METHODS

In China, it is quite difficult to obtain traffic crash and conflict data for pedestrians using such crossings, mainly due to the lack of traffic data management and organizational issues. In light of this, the proposed method did not rely on such data, but considered vehicle speed, which is a leading contributing factor of pedestrian safety at mid blocks. To evaluate the speed reduction effects at different locations, the research team utilized the following methods in this study: (1) testing speed differences-on the basis of the collected data, statistical analysis is conducted to test the speed differences between upstream and crosswalk, upstream and downstream, and downstream and crosswalk; and (2) mean distribution deviation-this value is calculated by taking the difference in cumulative speed distributions for the two different samples just mentioned. In order to better understand the variation of speed reduction effects at different distances from speed-control facilities, data were collected from six types of speed-control measures with a visual range of 60 m.

RESULTS

The results showed that speed humps, transverse rumble strips, and speed bumps were effective in reducing vehicle speeds. Among them speed humps performed the best, with reductions of 21.1% and 20.0% from upstream location (25.01 km/h) and downstream location (24.66 km/h) to pedestrian crosswalk (19.73 km/h), respectively. By contrast, the speed reduction effects were minimal for stop and yield signs, flashing yellow lights, and crossings without treatment.

CONCLUSIONS

Consequently, in order to reduce vehicle speeds and improve pedestrian safety at mid blocks, several speed-control measures such as speed humps, speed bumps, and transverse rumble strips are recommended to be deployed in the vicinity of pedestrian crosswalks.

Burden of traffic accidents among pedestrians of Fars province, southern Iran; estimate of years of life lost in a sample of Iranian population from 2009 to 2013

PURPOSE

Traffic injuries are among the leading causes of mortality and morbidity worldwide. Pedestrians have been considered as a high-risk group among road users, especially in middle- or low-income communities. This study attempted to determine the burden of pedestrians' fatalities in Fars, the southern province of Iran using years of life lost (YLL) approach.

METHODS

The data used in this study were retrieved from Fars Forensic Medicine Organization database on pedestrian traffic accidents. The YLL from 2009 to 2013 was estimated using the method presented by World Health organization. Some epidemiological characteristics of pedestrians' fatalities were analyzed by SPSS.

RESULTS

Although YLL among 1000 male pedestrians decreased from 2.5 in 2009 to 1.5 in 2013, it increased from 0.9 to 2.1 among 1000 females during the same period. Higher proportion of death was found in female, illiterate, and married pedestrians (p < 0.001). In addition, mortality was higher in pedestrians living the cities, during daytime, at home, and in hospitals (p < 0.001).

CONCLUSION

Consistent with the global trends, burden of pedestrian accidents in Fars was also exceptionally high. Considering the national and cultural aspects of different countries, improving the safety of pedestrians demands a multi-dimensional approach with interventional factors concerning policies, rules, pedestrians, motor vehicles and environmental conditions taken into consideration.

Factors associated with the occurrence of injuries requiring hospital transfer among older and working-age pedestrians in Kurume, Japan

Background

Pedestrian injuries among older people tend to occur near their residence. However, knowledge regarding whether distance travelled from home to the injury site or road environmental/socioeconomic factors affect injury severity remains limited.

Methods

A cross-sectional study was performed using injury registry data from the Kurume City Fire Department, Japan. Distance travelled from home was determined with geographic information system (GIS) software. Data were analyzed for potential association with injury occurrence and severity, with stratification by age. Signal detection analysis using 10 variables was applied to identify factors associated with the occurrence of severe pedestrian injuries.

Results

Among the 545 adult pedestrian injuries reviewed, the factors associated with the occurrence of severe pedestrian injuries for older people and working-age people were evaluated, focusing on the effect of the network distance travelled from home to injury site. Network distance travelled from home to injury site was not associated with the occurrence of severe pedestrian injuries among older people. By applying signal detection analysis, for older people, higher socioeconomic status, wider road width per lane, and higher aging rate in the residential area were significant factors, and for working-age pedestrians, longer network distance travelled between injury place and their residential area and a higher aging rate in the residential area were significantly associated.

Conclusions

To reduce severe pedestrian injuries among older people, improvement of road infrastructure in areas with wider roads, higher socioeconomic status and higher aging rates is required.

Hierarchical ordered model for injury severity of pedestrian crashes in South Korea

INTRODUCTION

The high percentage of fatalities in pedestrian-involved crashes is a critical social problem. The purpose of this study is to investigate factors influencing injury severity in pedestrian crashes by examining the demographic and socioeconomic characteristics of the regions where crashes occurred.

METHOD

To understand the correlation between the unobserved characteristics of pedestrian crashes in a defined region, we apply a hierarchical ordered model, in which we set crash characteristics as lower-level variables and municipality characteristics as upper-level. Pedestrian crash data were collected and analyzed for a three-year period from 2011 to 2013. The estimation results show the statistically significant factors that increase injury severity of pedestrian crashes.

RESULTS

At the crash level, the factors associated with increased severity of pedestrian injury include intoxicated drivers, road-crossing pedestrians, elderly pedestrians, heavy vehicles, wide roads, darkness, and fog. At the municipality level, municipalities with low population density, lower level of financial independence, fewer doctors, and a higher percentage of elderly residents experience more severe pedestrian crashes. Municipalities ranked as having the top 10% pedestrian fatality rate (fatalities per 100,000 residents) have rates 7.4 times higher than municipalities with the lowest 10% rate of fatalities. Their demographic and socioeconomic characteristics also have significant differences. The proposed model accounts for a 7% unexplained variation in injury severity outcomes between the municipalities where crashes occurred.

CONCLUSION

To enhance the safety of vulnerable pedestrians, considerable investments of time and effort in pedestrian safety facilities and zones should be made. More certain and severe punishments should be also given for the traffic violations that increase injury severity of pedestrian crashes. Furthermore, central and local governments should play a cooperative role to reduce pedestrian fatalities. Practical applications: Based on our study results, we suggest policy directions to enhance pedestrian safety.

Vehicle-Pedestrian crashes at Intersections in Dhaka city

Background:

Pedestrians are some of the most vulnerable road users, especially in large congested cities in developing countries. In order to develop appropriate countermeasures to improve safety, research has to be conducted to understand the factors contributing to vehicle-pedestrian collisions.

Objective:

This study aims to identify the factors contributing to intersection crashes in a developing country context.

Method:

A Poisson regression model was applied to police reported crash data from the capital of Bangladesh, Dhaka.

Results:

This study finds that an increase in vehicle traffic and the presence of police officer, footbridge, bus stop, solar panel and waste deposit facility were associated with an increase in the number of vehicle-pedestrian crashes, whereas an increase in pedestrian volume, roads with the same number of inbound and outbound lanes, roads with greater number of lanes, and the presence of traffic signal, commercial area or offices, speed breaker and rail crossing were associated with a reduction in the number of vehicle-pedestrian crashes.

Conclusion:

While the results of most traffic and engineering factors are consistent with those obtained in previous studies in developed countries, some of the results on human related factors and unusual road furniture are atypical and require more locally targeted countermeasures.

Spatial Factors Affecting the Frequency of Pedestrian Traffic Crashes: A Systematic Review

Context

Considering the importance of pedestrian traffic crashes and the role of environmental factors in the frequency of crashes, this paper aimed to review the published evidence and synthesize the results of related studies for the associations between environmental factors and distribution of pedestrian-vehicular traffic crashes.

Evidence Acquisition

We searched all epidemiological studies from 1966 to 2015 in electronic databases. We found 2,828 studies. Only 15 observational studies out of these studies met the inclusion criteria of the study. The quality of the included studies was assessed using the strengthening the reporting of observational studies in epidemiology (STROBE) checklist.

Results

A review of the studies showed significant correlations between a large number of spatial variables including student population and the number of schools, population density, traffic volume, roadway density, socio-economic status, number of intersections, and the pedestrian volume and the dependent variable of the frequency of pedestrian traffic crashes. In the studies, some spatial factors that play an important role in determining the frequency of pedestrian traffic crashes, such as facilities for increasing the pedestrians’ safety were ignored.

Conclusions

It is proposed that the needed research be conducted at national and regional levels in coordination and cooperation with international organizations active in the field of traffic crashes in various parts of the world, especially in Asian, African and Latin American developing countries, where a greater proportion of pedestrian traffic crashes occur.

Urgent and emergency care for pedestrians injured in Brazilian traffic

This paper aimed to describe the epidemiological profile of pedestrians injured in traffic accidents treated at urgent and emergency facilities participating in the 2014VIVA Survey and the characterization of these events and consequences for these victims. This is a cross-sectional study conducted in the period from September to November 2014 in 24 Brazilian state capitals and the Federal District. We analyzed variables that characterize the victim, the accident and its severity and case outcome. We calculated simple and relative frequencies and performed a bivariate analysis by gender and age group. We used the Rao-Scott test with a 5% significance level in order to verify the independence of variables. Results show that 34.3% of attendances were for individuals aged 20-39 years, 54.2% had brown skin and 35.9% of individuals had up to 4 years of schooling. Run-overs occurred mainly at night (33.6%) and in the afternoon (31.3%). Most cases resulted in discharge in all age groups, but 41.6% of the elderly (60 years and over) required hospitalization. We stress the need for public investment, prioritizing pedestrian circulation in traffic and road infrastructure planning.

Time trend analyses of child pedestrian morbidity in Japan

OBJECTIVES

Road traffic injuries, particularly pedestrian injuries, are a major health issue among children worldwide. The present study quantitatively analyzed the time trends of child pedestrian injuries in Japan from 1975 to 2013 by age.

STUDY DESIGN

Time trend analysis of nationally aggregated data.

METHODS

We analyzed police data on pedestrian injuries requiring medical treatment among children aged 0-15 years occurring between 1975 and 2013. To quantify the time trends of pedestrian injury morbidity rates and to identify change-points in the trends, joinpoint regression analysis was applied by age group. Children were categorized into the age groups of 0-3, 4-6, 7-9, 10-12, and 13-15 years old.

RESULTS

Preschool children aged 0-6 years old showed continuous declining trends throughout the study period; these declining trends accelerated in the 2000s. School-age children aged 7-15 years old showed minimal changes from the early 1970s to the 1990s; of this age group, children aged 7-12 years old showed slight but significant declining trends in the first half and increasing trends in the latter half of this period. Children aged 7-15 years old showed declining trends in the 2000s. Despite the consistent declining trends among all age groups in the 2000s, the younger age groups showed steeper declines during this period.

CONCLUSIONS

The declining trends in all age groups in the 2000s may reflect the improved traffic environments in Japan although the environmental approaches are not yet sufficiently adopted yielding modest effects. The continuing contrast between preschool and school-age children may reflect different behaviour changes by age such as more restricted outdoor activities among young children.

Effect of exposure to aggressive stimuli on aggressive driving behavior at pedestrian crossings at unmarked roadways

BACKGROUND

Aggressive driving, influenced by the proneness of driving aggression, angry state and provoking situation, is adversely affecting traffic safety especially in developing countries where pedestrians frequently cross an unmarked crosswalk. Exposure to aggressive stimuli causes driving anger and aggressive driving behaviors, but the exposure effect on higher and lower aggression drivers and their cumulative changes under successive exposures need more investigation.

OBJECTIVES

An experiment was conducted to examine (1) driving behaviors of individuals with higher and lower aggressive driving traits when approaching pedestrian crossings at unmarked roadways with and without aggressive provocation; and (2) cumulative changes of driving performance under repeated provocations.

METHOD

We conducted a driving simulator study with 50 participants. Trait of aggressive driving served as a between-subjects variable: participants with an Aggressive Driving Scale (ADS) total score of 30 or more (for men) or 23 or more (for women) were regarded as higher aggressive drivers; lower aggressive drivers were those individuals whose ADS total scores were 21 or less (for men) or 13 or less (for women). Exposure to aggressive stimuli (provoked vs. non-provoked condition) served as a within-subjects variable. Several aspects of the participants' minimum driving speed, lateral distance from a simulated pedestrian, lateral deviation, and subjective measures were collected.

RESULTS

We found that drivers with higher aggressive driving traits were more likely to feel irritated and fail to give way for pedestrians and drove closer to pedestrians when exposed to sustained honking and improper passing compared to the non-provoked condition. This trait×state interaction only occurred when pedestrians crossed the street from the right roadway edge line. In addition, we observed an accumulation effect of exposure to aggressive stimuli on driver's aggressive behaviors at pedestrian crossings.

CONCLUSIONS

Environmental design, law enforcement, and educational campaign may have practical value for reducing pedestrian and driver conflicts at unmarked roadways.

Pedestrian fatality risk in accidents at unsignalized zebra crosswalks in Poland

Poland has the second worst pedestrian fatality rate in the European Union. In the years 2007-2012, 9101 pedestrians were killed and 71328 injured on Polish roads. Almost 30% of pedestrian injury accidents took place at unsignalized zebra crosswalks. Based on police accident database, the worst problem in terms of numbers of fatalities occurs in built-up areas, on two-way undivided roads and at mid-block locations. Especially at risk are older people - almost 73% of pedestrians killed were 55 years or older. In order to show the effect of various factors on pedestrian fatality risk, a binary logit model with interaction terms was developed. The model shows that the following factors increase the probability of pedestrian's death at unsignalized zebra crosswalks: darkness, especially with no street lighting, divided road, two-way road, non built-up area, mid-block crosswalk location and summer time period. Speed limit is a crucial factor: probability of death increases by 37% with every 10km/h rise in the speed limit. Fatality risk increases also with victim's age and is higher for male pedestrians.

Effects of safety measures on driver's speed behavior at pedestrian crossings

This paper reports the results of a multi-factorial experiment that was aimed at the following: (a) analyzing driver's speed behavior while approaching zebra crossings under different conditions of vehicle-pedestrian interaction and with respect to several safety measures and (b) comparing safety measures and identifying the most effective treatment for zebra crossings. Three safety countermeasures at pedestrian crossings (curb extensions, parking restrictions and advanced yield markings) and the condition of no treatment (baseline condition) were designed on a two-lane urban road and implemented in an advanced driving simulator. Several conditions of vehicle-pedestrian interaction (in terms of the time left for the vehicle to get to the zebra crossing at the moment the pedestrian starts the crossing) were also simulated. Forty-two drivers completed the driving in the simulator. Based on the recorded speed data, two analyses were performed. The first analysis, which focused on the mean speed profiles, revealed that the driver's speed behavior was affected by conditions of vehicle-pedestrian interaction and was fully consistent with previous findings in the literature and with the Threat Avoidance Model developed by Fuller. Further analysis was based on variables that were obtained from the speed profiles of drivers (the speed at the beginning of the deceleration phase, the distance from the zebra crossing where the deceleration began, the minimum speed value reached during the deceleration, the distance from the pedestrian crossing where the braking phase ended and the average deceleration rate). Multivariate variance analysis (MANOVA) revealed that there was a significant main effect for safety measures and for pedestrian conditions (the presence and absence of a pedestrian). The results identified that the curb extension was the countermeasure that induces the most appropriate driver's speed behavior while approaching the zebra crossing. This conclusion was also confirmed by outcomes of the questionnaire on the countermeasure's effectiveness. More than 80% of the drivers perceived that the curb extensions were effective, which indicates that when this countermeasure was present, the drivers were more willing to yield and that the visibility of the pedestrian crossing was better. For this countermeasure, the lowest number of interactions in which the drivers did not yield to a pedestrian was also recorded.

Can child-pedestrians' hazard perception skills be enhanced?

OBJECTIVE

Traffic collisions yield a substantial rate of morbidity and injury among child-pedestrians. We explored the formation of an innovative hazard perception training intervention - Child-pedestrians Anticipate and Act Hazard Perception Training (CA(2)HPT). Training was based upon enhancing participants' ability to anticipate potential hazards by exposing them to an array of traffic scenes viewed from different angles.

METHOD

Twenty-four 7-9-year-olds have participated. Trainees underwent a 40-min intervention of observing typical residential traffic scenarios in a simulated dome projection environment while engaging in a hazard detection task. Trainees were encouraged to note differences between the scenarios presented to them from separate angles (a pedestrian's point-of-view and a higher perspective angle). Next, trainees and control group members were required to perform crossing decision tasks.

RESULTS

Trainees were found to be more aware of potential hazards related to restricted field of view relative to control.

CONCLUSIONS

Child pedestrians are responsive to training and actively detecting materialized hazards may enrich child-pedestrians' ability to cross roads.

Pedestrian injuries-related deaths: a global evaluation

OBJECTIVE

Pedestrians are vulnerable road users who are at risk of injuries and death on the roads. We aimed to define factors affecting pedestrian injuries-related deaths worldwide and to give recommendations regarding their prevention priorities.

METHODS

Data on pedestrian injuries-related deaths for years 2007 and 2010 were retrieved from the WHO global status reports on road safety. These included the country population, gross national income (GNI), number of registered vehicles, estimated pedestrian deaths rate, effectiveness of enforcement of law, and the presence of policies to promote walking or cycling. Correlations between studied variables were done using Spearman rank correlation. General linear models were used to define factors affecting pedestrian injuries-related deaths.

RESULTS

The median (range) pedestrian death rates of different countries per 100,000 population significantly decreased in year 2010 compared with year 2007 [3.9 (0-13.5) compared with 4.2 (0-23.6), (p = 0.004, Wilcoxon signed rank test)]. There was a reduction of 8.1% of the global pedestrian death rate between 2007 and 2010. The estimated pedestrian lives saved annually worldwide of a population of 6.8 billion were 23,120 persons. A general linear model has shown that GNI (p = 0.001) and population density (p = 0.01) were the best predictors of pedestrian death rates in 2007, while national legislation (p = 0.03) was the best predictor of pedestrian death rates in 2010.

CONCLUSIONS

There is a change in the factors affecting pedestrian mortality worldwide over time. GNI and population density became less significant than national legislation enforcement. Legislation and its enforcement are important to achieve the UN mission of reducing road traffic deaths by 5 million over the next decade.

Health impact assessment of active transportation: A systematic review

OBJECTIVE

Walking and cycling for transportation (i.e. active transportation, AT), provide substantial health benefits from increased physical activity (PA). However, risks of injury from exposure to motorized traffic and their emissions (i.e. air pollution) exist. The objective was to systematically review studies conducting health impact assessment (HIA) of a mode shift to AT on grounds of associated health benefits and risks.

METHODS

Systematic database searches of MEDLINE, Web of Science and Transportation Research International Documentation were performed by two independent researchers, augmented by bibliographic review, internet searches and expert consultation to identify peer-reviewed studies from inception to December 2014.

RESULTS

Thirty studies were included, originating predominantly from Europe, but also the United States, Australia and New Zealand. They compromised of mostly HIA approaches of comparative risk assessment and cost-benefit analysis. Estimated health benefit-risk or benefit-cost ratios of a mode shift to AT ranged between -2 and 360 (median=9). Effects of increased PA contributed the most to estimated health benefits, which strongly outweighed detrimental effects of traffic incidents and air pollution exposure on health.

CONCLUSION

Despite different HIA methodologies being applied with distinctive assumptions on key parameters, AT can provide substantial net health benefits, irrespective of geographical context.

Epidemiology of pedestrian-MVCs by road type in Cluj, Romania

OBJECTIVE

Pedestrian-motor vehicle (PMV) crash rates in Romania are among the highest in all of Europe. The purpose of this study was to examine the characteristics of pedestrian-MVCs in Cluj County, Romania, on the two major types of roadways: national or local.

METHODS

Cluj County police crash report data from 2010 were used to identify pedestrian, driver and crash characteristics of pedestrian-MVCs. Crashes with available location data were geocoded and road type (national or local) for each crash was determined. Distributions of crash characteristics were examined by road type and multivariable logistic regression models were built to determine predictors of crash road type.

RESULTS

Crashes occurring on national roads involved more teenagers and adults, while those on local roads involved more young children (0-12) and older adults (65+) (p<0.01). Crashes on national roads were more likely to have marked pedestrian crossings and shoulders compared with local crashes. Pedestrian-MVCs that involved a moving violation by the motorist were more likely to occur on national roadways (adjusted OR=1.93, 95% CI 1.07 to 3.49).

CONCLUSIONS

Pedestrian-MVCs pose a considerable health burden in Romania. Results from this study suggest that factors leading to PMV crashes on national roads are more likely to involve driver-related causes compared with local roads. Intervention priorities to reduce pedestrian crashes on national roads should be directed towards driver behaviour on national roads. Further examination of driver and pedestrian behaviours related to crash risk on both national and local roads, such as distraction and speeding, is warranted.

Road crash fatality rates in France: a comparison of road user types, taking account of travel practices

BACKGROUND

Travel practices are changing: bicycle and motorized two-wheeler (MTW) use are rising in some of France's large cities. These are cheaper modes of transport and therefore attractive at a time of economic crisis, but they also allow their users to avoid traffic congestion. At the same time, active transport modes such as walking and cycling are encouraged because they are beneficial to health and reduce pollution. It is therefore important to find out more about the road crash risks of the different modes of transport. To do this, we need to take account of the number of individuals who use each, and, even better, their travel levels.

METHOD

We estimated the exposure-based fatality rates for road traffic crashes in France, on the basis of the ratio between the number of fatalities and exposure to road accident risk. Fatality data were obtained from the French national police database of road traffic casualties in the period 2007-2008. Exposure data was estimated from the latest national household travel survey (ENTD) which was conducted from April 2007 to April 2008. Three quantities of travel were computed for each mode of transport: (1) the number of trips, (2) the distance traveled and (3) the time spent traveling. Annual fatality rates were assessed by road user type, age and sex.

RESULTS

The overall annual fatality rates were 6.3 per 100 million trips, 5.8 per billion kilometers traveled and 0.20 per million hours spent traveling. The fatality rates differed according to road user type, age and sex. The risk of being killed was 20 to 32 times higher for motorized two-wheeler users than for car occupants. For cyclists, the risk of being killed, both on the basis of time spent traveling and the number of trips was about 1.5 times higher than for car occupants. Risk for pedestrians compared to car occupants was similar according to time spent traveling, lower according to the number of trips and higher according to the distance traveled. People from the 17-20 and 21-29 age groups and those aged 70 and over had the highest rates. Males had higher rates than females, by a factor of between 2 and 3.

CONCLUSION

When exposure is taken into account, the risks for motorized two-wheeler users are extremely high compared to other types of road user. This disparity can be explained by the combination of speed and a lack of protection (except for helmets). The differential is so great that prevention measures could probably not eliminate it. The question that arises is as follows: with regard to public health, should not the use of MTW, or at least of motorcycles, be deterred? The difference between the fatality risk of cyclists and of car occupants is much smaller (1.5 times higher); besides, there is much room for improvements in cyclist safety, for instance by increasing the use of helmets and conspicuity equipment. Traffic calming could also benefit cyclists, pedestrians and perhaps moped users.