Spillover effects of yield-to-pedestrian channelizing devices

A great number of pedestrians are killed or injured in traffic crashes every year in the US. Vehicle crashes involving pedestrians are often more severe than other crashes because pedestrians are unprotected and are hence more likely to suffer injuries or death if struck by a motor vehicle. To improve pedestrian safety, a variety of treatments such as overhead flashing beacons, in-street crossing signs, in-roadway warning lights, and traffic calming measures have been used. One treatment, in-street yield-to-pedestrian channelizing devices (YTPCD), has been used in many states, including Pennsylvania, where approximately 10% of traffic crash fatalities are pedestrians each year.In an effort to improve pedestrian safety, the Pennsylvania Department of Transportation (PennDOT) has widely deployed YTPCD. This study examines the spillover (indirect) effects of such devices on motorist and pedestrian behavior. With data collected from eight sites that did not have but were in the vicinity of YTPCD implementations, analysis results show that such devices have significantly positive spillover effects on pedestrian safety at intersections, but they tend to have negative spillover effects at mid-block locations. Overall, the YTPCD appear to have a positive impact on changing motorist and pedestrian behavior, and merit consideration for future usage of this type of device.     

Powered two-wheeler drivers' risk of hitting a pedestrian in towns

IntroductionThe risk of collision between pedestrians and powered two-wheelers is poorly understood today. The objective of this research is to determine the risk for powered two-wheeler drivers of hitting and injuring a pedestrian per kilometer driven in towns and to compare this risk with that run by four-wheeled vehicle drivers.MethodUsing the bodily injury accidents recorded by the police on nine roads in the city of Marseille in 2011 and a campaign of observations of powered two-wheeler traffic, we estimated the risk per kilometer driven by powered two-wheeler drivers of hitting a pedestrian and compared it with the risk run by four-wheeled vehicle drivers.ResultsThe results show that the risk for powered two-wheeler drivers of hitting and injuring a pedestrian is significantly higher than the risk run by four-wheeled vehicle drivers. On the nine roads studied, it is on average 3.33 times higher (95% CI: 1.63; 6.78). Taking four more years into account made it possible to consolidate these results and to tighten the confidence interval.ConclusionThere does indeed seem to be problems in the interactions between pedestrians and powered two-wheeler users in urban traffic. These interaction problems lead to a higher risk of hitting and injuring a pedestrian for powered two-wheeler drivers than for four-wheeled vehicle drivers. The analysis of the police reports suggests that part of this increased risk comes from filtering maneuvers by powered two-wheelers.Practical applicationsPossible countermeasures deal with the urban street layout. Measures consisting in reducing the width and the number of traffic lanes to a strict minimum and installing medians or pedestrian islands could be an effective way for the prevention of urban accidents between pedestrians and powered two-wheelers.     

Understanding complex traffic road scenes: The case of child-pedestrians’ hazard perception

IntroductionUnderstanding the shortcomings of child-pedestrians in evaluating traffic situations may contribute to producing intervention techniques that may increase their awareness to potential hazards as well as inform and inspire designers of autonomous vehicle and infrastructure systems to deal with the complications of crossing pedestrians. Method: The present work examined pedestrians’ hazard-perception (HP) skills in complex traffic scenes. Two experiments explored how pedestrians’ HP abilities vary with age and experience. In the first, adults and youngsters (7–13-year-olds) were presented with pairs of photographs displaying traffic situations and instructed to compare between the hazard levels of the two. Findings revealed a marked trend where experienced-adults tended to rate photographs depicting field of view partially obscured by parked vehicles as more hazardous. Moreover, adults tended to rate photographs depicting vehicles closer to the crossing site as more hazardous. Lastly, adults tended to rate photographs depicting complex configurations like traffic circles, as more hazardous than T-junctions. Results: Findings suggested that youngsters may be highly influenced by cueing. Next, pedestrians’ HP was tested using a crossing decision task. Participants observed traffic scenes presented in a dynamic simulated environment of an urban road from a pedestrian’s perspective and pressed a response button whenever they assumed it was safe to cross. Compared to experienced-adults and 7–8-year-olds, 9–13-year-olds presented a less decisive performance. Compared to previous findings regarding simpler road crossing configurations, most participants, regardless of age, related more to the approaching vehicles and presence of a pedestrian crossing while refraining from addressing the road configuration. Implications for road-safety are discussed.     

大城市无信号控制人行横道行人过街延误分析

从心理学角度,以大城市无信号控制人行横道过街行人为研究对象,对行人过街延误进行定量分析研究。以北京市两个典型无信号控制人行横道为实例进行交通调查分析,计算行人的临界穿越间隙,安全穿越间隙出现的概率,及行人穿越该处的总延误时间。计算结果表明:观测路段车流中提供的安全穿越间隙的概率比较低;行人强行穿越的重要原因是行人过街延误超出了行人等待心理极限;验证了模型的精度;找出了观测路段交通秩序混乱的原因。针对大城市无信号控制人行横道的分析结果,提出了具体的改进建议和交通改善措施,为国内大城市行人交通安全管理提供了决策依据和有益参考。     

Evaluation of the effectiveness of traffic calming measures on vehicle speeds and pedestrian injury severity in Ghana

Objectives: Each year, pedestrian injuries constitute over 40% of all road casualty deaths and up to 60% of all urban road casualty deaths in Ghana. This is as a result of the overwhelming dependence on walking as a mode of transport in an environment where there are high vehicular speeds and inadequate pedestrian facilities. The objectives of this research were to establish the (1) impact of traffic calming measures on vehicle speeds and (2) association between traffic calming measures and pedestrian injury severity in built-up areas in Ghana.

Method: Vehicle speeds were unobtrusively measured in 38 selected settlements, including 19 with traffic calming schemes and 19 without. The study design used in this research was a matched case–control. A regression analysis compared case and control casualties using a conditional logistic regression.

Results: Generally, the mean vehicle speeds and the proportion of vehicles exceeding the 50?km/h speed limit were significantly lower in settlements that have traffic calming measures compared to towns without any traffic calming measures. Additionally, the proportion of motorists who exceeded the speed limit was 30% or less in settlements that have traffic calming devices and the proportion who exceeded the speed limit was 60% or more in towns without any traffic calming measures. The odds of pedestrian fatality was significantly higher in settlements that have no traffic calming devices compared to those that have (odds ratio [OR]?=?1.98; 95% confidence interval, 1.09–4.43). The protective effects of a traffic calming scheme that has a speed table was notably higher than those where there were no speed tables.

Conclusion: It was clearly evident that traffic calming devices reduce vehicular speeds and, thus, the incidence and severity of pedestrian injuries in built-up areas in Ghana. However, the fact that they are deployed on arterial roads is increasingly becoming a road safety concern. Given the emerging safety challenges associated with speed calming measures, we recommend that their use be restricted to residential streets but not on arterial roads. Long-term solutions for improving pedestrian safety proposed herein include bypassing settlements along the highways to reduce pedestrians’ exposure to traffic collisions and adopting a modern way of enforcement such as evidence-based laser monitoring in conjunction with a punishment regime that utilizes the demerit points system.     

Simulation of pedestrian contra-flow by multi-agent DEM model with self-evasive action model

A pedestrian contra-flow can be seen frequently in urban spaces such as a pedestrian crossing, an open space and a concourse. A pedestrian simulation with taking a pedestrian contra-flow into account will be a rational tool for designing urban pedestrian facilities. The objective of our research is to develop a microscopic model for a pedestrian contra-flow. Although we have been developing a DEM (Distinct Element Method)-based microscopic model of crowd behavior, this conventional crowd behavior model does not necessarily provide satisfactory agreement with an observation in a pedestrian crossing with heavy commute traffic. In this paper, we newly develop a self-evasive action model, which can describe either a collision avoidance or an alignment behavior between adjacent pedestrians. The multi-agent DEM model with the self-evasive action model shows good predictions of the characteristics of pedestrian contra-flow.     

Effects of gender, sex-stereotype conformity, age and internalization on risk-taking among adolescent pedestrians

The objective of this study is to explore the effects of sex-stereotype conformity and the internalization of traffic rules on risk-taking among adolescent pedestrians. Sex-stereotype conformity, danger perception, internalization of traffic rules and risky behaviors self-reported by 278 adolescent pedestrians (130 boys and 148 girls) aged 12–16 were measured. The results show an effect of sex-stereotype conformity on the internalization of traffic rules and risky behavior. Furthermore, the results show an effect of internalizing traffic rules on the risky pedestrian behaviors. Thus, it appears that, more than biological sex, it is the level of masculinity and the level of internalization of the rules that explain gender differences in risk-taking among adolescent pedestrians.     

The effect of right-turn-on-red on pedestrian and bicyclist accidents

Right-Turn-on-Red (RTOR), in its “Western” version allows motorists to turn right on a red signal after stopping and yielding, unless specifically prohibited by a sign. The objective of this study was to determine the effect of Western RTOR on pedestrian and bicycle accidents in selected jurisdictions adopting the rule in the mid-1970s. The results showed significant increases in pedestrian and bicyclist accidents involving right-turning vehicles at signalized locations following the introduction of Western RTOR. These increases were: 40 % for pedestrians and 82 % for bicycles in New York State; 107 % for pedestrians and 72 % for bicycles in Wisconsin; 57 % for pedestrians and 80 % for bicycles in Ohio; and 82 % for pedestrians in New Orleans. Analysis of police accident reports suggested that drivers stopped for a red light are looking left for a gap in traffic and do not see pedestrians and bicyclists coming from their right. Countermeasure research and development was recommended to deal with this well defined problem which involves between 1 % and 3 % of all pedestrian and bicycle accidents.     

Modeling pedestrian gap crossing index under mixed traffic condition

IntroductionThere are a variety of challenges faced by pedestrians when they walk along and attempt to cross a road, as the most recorded accidents occur during this time. Pedestrians of all types, including both sexes with numerous aging groups, are always subjected to risk and are characterized as the most exposed road users. The increased demand for better traffic management strategies to reduce the risks at intersections, improve quality traffic management, traffic volume, and longer cycle time has further increased concerns over the past decade.MethodThis paper aims to develop a sustainable pedestrian gap crossing index model based on traffic flow density. It focusses on the gaps accepted by pedestrians and their decision for street crossing, where (Log-Gap) logarithm of accepted gaps was used to optimize the result of a model for gap crossing behavior. Through a review of extant literature, 15 influential variables were extracted for further empirical analysis. Subsequently, data from the observation at an uncontrolled mid-block in Jalan Ampang in Kuala Lumpur, Malaysia was gathered and Multiple Linear Regression (MLR) and Binary Logit Model (BLM) techniques were employed to analyze the results.Results and conclusionsFrom the results, different pedestrian behavioral characteristics were considered for a minimum gap size model, out of which only a few (four) variables could explain the pedestrian road crossing behavior while the remaining variables have an insignificant effect. Among the different variables, age, rolling gap, vehicle type, and crossing were the most influential variables. The study concludes that pedestrians’ decision to cross the street depends on the pedestrian age, rolling gap, vehicle type, and size of traffic gap before crossing.Practical applicationsThe inferences from these models will be useful to increase pedestrian safety and performance evaluation of uncontrolled midblock road crossings in developing countries.     

Distracted walking: cell phones increase injury risk for college pedestrians

Introduction

Distraction on cell phones jeopardizes motor-vehicle driver safety, but few studies examine distracted walking. At particular risk are college students, who walk frequently in and near traffic, have increased pedestrian injury rates compared to other age groups, and frequently use cell phones. Method: Using an interactive and immersive virtual environment, two experiments studied the effect of cell phone conversation on distraction of college student pedestrians. In the first, we examined whether pedestrians would display riskier behavior when distracted by a naturalistic cell phone conversation than when undistracted. We also considered whether individual difference factors would moderate the effect of the distraction. In a second experiment, we examined the impact of three forms of distraction on pedestrian safety: (a) engaging in a cell phone conversation, (b) engaging in a cognitively challenging spatial task by phone, and (c) engaging in a cognitively challenging mental arithmetic task by phone. Results: Results revealed that cell phone conversations distracted college pedestrians considerably across all pedestrian safety variables measured, with just one exception. Attention to traffic was not affected by the naturalistic phone conversation in Experiment 1, but was altered by the cognitively-demanding content of some types of conversation in Experiment 2. The content of the conversation did not play a major role in distraction across other variables; both mundane and cognitively complex conversations distracted participants. Moreover, no significant associations between individual difference factors and susceptibility to distraction emerged. Impact on Industry: Results may inform researchers, policy makers, and pedestrians themselves. Educational campaigns might discourage telephone conversations in pedestrian environments.     

考虑环境熟悉度与引导的人员疏散元胞自动机模型研究*

为研究环境熟悉度及引导作用对行人疏散影响，建立考虑环境熟悉度及引导作用的行人疏散元胞自动机模型。模型引入环境熟悉度参数，将行人分为熟悉环境行人与不熟悉环境行人，不同的行人具备不同的运动方式；基于引导标志的有向引导作用构建引导场，使行人能跟随引导移动；以某超市为例，研究其环境熟悉度、引导作用及引导有效性对行人疏散的影响。结果表明:行人疏散时间随着环境熟悉度的增加而减少；在相同的环境熟悉度下，不熟悉环境行人选择跟随引导移动相比于随机移动及跟随行人移动疏散效率更高；环境熟悉度较低时，行人疏散时间随引导有效性提高呈现先减少后增加的趋势。     

Personal exposure risk factors in pedestrian accidents in Bahrain

Pedestrians are involved in traffic accidents due to many reasons. It is generally thought that personal background of pedestrians has an effect on their involvement rate in the road traffic accidents. Identifying these characteristics would lead to a better understanding of pedestrian accident pattern so that the resources in the field of education, engineering, and enforcement could be used in better ways. This study attempts to test the hypothesis mentioned earlier. The investigated personal background includes the following characteristics: gender, type, age, nationality, and educational background. The data was reduced from vast number of pedestrian injury accident reports in the Kingdom of Bahrain. The actual accident records were categorized according to these characteristics and compared to their exposure risk. It was assumed that the exposure risk, which is the expected number of accidents for each category of the pedestrians, was in proportion to their presence in the pedestrian population. Another study was carried out in parallel to observe the pedestrian characteristics in Bahrain. The results of the two studies were analyzed statistically using Chi-square method to compare the actual to the expected accident frequencies. The whole Kingdom of Bahrain population statistics were used wherever the information on the pedestrian population was not available. The findings revealed that personal characteristics considered in this study have significant influence on pedestrian’s involvement in traffic accidents. The results also showed that pedestrians with the following characteristics were probably showing risk to exposure to accidents more than other categories: male, young (0–12 years) and old (50 years and over), non-local, and those with low educational background.     

Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis

Introduction: Alcohol-related impairment is a key contributing factor in traffic crashes. However, only a few studies have focused on pedestrian impairment as a crash characteristic. In Louisiana, pedestrian fatalities have been increasing. From 2010 to 2016, the number of pedestrian fatalities increased by 62%. A total of 128 pedestrians were killed in traffic crashes in 2016, and 34.4% of those fatalities involved pedestrians under the influence (PUI) of drugs or alcohol. Furthermore, alcohol-PUI fatalities have increased by 120% from 2010 to 2016. There is a vital need to examine the key contributing attributes that are associated with a high number of PUI crashes. Method: In this study, the research team analyzed Louisiana’s traffic crash data from 2010 to 2016 by applying correspondence regression analysis to identify the key contributing attributes and association patterns based on PUI involved injury levels. Results: The findings identified five risk clusters: intersection crashes at business/industrial locations, mid-block crashes on undivided roadways at residential and business/residential locations, segment related crashes associated with a pedestrian standing in the road, open country crashes with no lighting at night, and pedestrian violation related crashes on divided roadways. The association maps identified several critical attributes that are more associated with fatal and severe PUI crashes. These attributes are dark to no lighting, open country roadways, and non-intersection locations. Practical Applications: The findings of this study may be used to help design effective mitigation strategies to reduce PUI crashes.     

Evaluating safety-influencing factors at stop-controlled intersections using automated video analysis

Introduction: Although stop signs are popular in North America, they have become controversial in cities like Montreal, Canada where they are often installed to reduce vehicular speeds and improve pedestrian safety despite limited evidence demonstrating their effectiveness. The purpose of this study is to evaluate the impact of stop-control configuration (and other features) on safety using statistical models and surrogate measures of safety (SMoS), namely vehicle speed, time-to-collision (TTC), and post-encroachment time (PET), while controlling for features of traffic, geometry, and built environment. Methods: This project leverages high-resolution user trajectories extracted from video data collected for 100 intersections, 336 approaches, and 130,000 road users in Montreal to develop linear mixed-effects regression models to account for within-site and within-approach correlations. This research proposes the Intersection Exposure Group (IEG) indicator, an original method for classifying microscopic exposure of pedestrians and vehicles. Results: Stop signs were associated with an average decrease in approach speed of 17.2 km/h and 20.1 km/h, at partially and fully stop-controlled respectively. Cyclist or pedestrian presence also significantly lower vehicle speeds. The proposed IEG measure was shown to successfully distinguish various types of pedestrian-vehicle interactions, allowing for the effect of each interaction type to vary in the model. Conclusions: The presence of stop signs significantly reduced approach speeds compared to uncontrolled approaches. Though several covariates were significantly related to TTC and PET for vehicle pairs, the models were unable to demonstrate a significant relationship between stop signs and vehicle–pedestrian interactions. Therefore, drawing conclusions regarding pedestrian safety is difficult. Practical Applications: As pedestrian safety is frequently used to justify new stop sign installations, this result has important policy implications. Policies implementing stop signs to reduce pedestrian crashes may be less effective than other interventions. Enforcement and education efforts, along with geometric design considerations, should accompany any changes in traffic control.     

Development of pedestrian- and vehicle-related safety performance functions using Bayesian bivariate hierarchical models with mode-specific covariates

Introduction: Pedestrian safety is a major concern as traffic crashes are the leading cause of fatalities and injuries for commuters. Traffic safety research in the past has developed various strategies to counteract traffic crashes, including the safety performance function (SPF). However, there is still a need for research dedicated to enhancing the SPF for pedestrians from perspectives of methodological framework and data input. To fill this gap, this study aims to add to the current SPF development practice literature by focusing on pedestrian-involved collisions, while considering the typical vehicle ones as well. Methods: First, bivariate models are used to account for the common unobserved heterogeneity shared by the pedestrian- and vehicle-related crashes at the same intersections. Second, variable importance ranking technique is used, along with correlation analysis, to determine mode-specific feature input. Third, the exposure information for both modes, annual pedestrian count, and annual daily vehicles traveled are used for model development. Fourth, a recent Bayesian inference approach (integrated nested Laplace approximation (INLA)) was adopted for bivariate setting. Finally, different evaluation criteria are used to facilitate comprehensive model assessment. Results: The results reveal different statistically significant factors contributing to each of the modes. The offset intersection provides better safety performance for both pedestrians and drivers as compared to other intersection designs. The model findings also corroborate the sensibility of using the bivariate models, rather than the separate univariate ones. Practical Applications: The study shows that pedestrians are more vulnerable to various intersection features such as left-turn channelization, intersection control, urban and rural population group, presence of signal mastarm on the cross-street, and mainline average daily traffic. Greater focus should be directed toward such intersection features to improve pedestrian safety.     

On-road measures of pedestrians' estimates of their own nighttime conspicuity

PROBLEM: Most pedestrian fatalities occur at night. Although researchers have long understood that drivers have difficulty seeing pedestrians at night and that reflective clothing can dramatically enhance pedestrian conspicuity, the extent to which pedestrians understand these facts is unclear. This experiment quantified pedestrians' estimates of the ability of an approaching driver to recognize the presence of roadside pedestrians. METHOD: Ten younger and 10 older participants walked in place on the far shoulder of a closed-road circuit and pressed a button when they were confident that the approaching driver could first recognize that a pedestrian was present. RESULTS: Pedestrians overestimated their visibility and dramatically underestimated the benefit of conspicuity treatments. CONCLUSIONS: These results suggest that pedestrians fail to understand the magnitude of the nighttime conspicuity problem and the value of conspicuity treatments. Pedestrians may therefore unknowingly place themselves in danger at night. IMPACT: These results underscore the need to educate pedestrians about the dangers of interacting with traffic at night and about treatments that increase their safety.     

Considering built environment and spatial correlation in modeling pedestrian injury severity

Objective: This study looks at mitigating and aggravating factors that are associated with the injury severity of pedestrians when they have crashes with another road user and overcomes existing limitations in the literature by focusing attention on the built environment and considering spatial correlation across crashes.

Method: Reports for 6,539 pedestrian crashes occurred in Denmark between 2006 and 2015 were merged with geographic information system resources containing detailed information about the built environment and exposure at the crash locations. A linearized spatial logit model estimated the probability of pedestrians sustaining a severe or fatal injury conditional on the occurrence of a crash with another road user.

Results: This study confirms previous findings about older pedestrians and intoxicated pedestrians being the most vulnerable road users and crashes with heavy vehicles and in roads with higher speed limits being related to the most severe outcomes. This study provides novel perspectives by showing positive spatial correlations of crashes with the same severity outcomes and emphasizing the role of the built environment in the proximity of the crash.

Conclusions: This study emphasizes the need for thinking about traffic calming measures, illumination solutions, road maintenance programs, and speed limit reductions. Moreover, this study emphasizes the role of the built environment, because shopping areas, residential areas, and walking traffic density are positively related to a reduction in pedestrian injury severity. Often, these areas have in common a larger pedestrian mass that is more likely to make other road users more aware and attentive, whereas the same does not seem to apply to areas with lower pedestrian density.     

公共建筑环境下行人行为特性及拥挤机理研究综述

介绍国内外对于公共建筑环境下行人行为特性及拥挤机理方面的研究成果,主要包括:自由流情况下的行人运动速度,人群运动的最佳密度,行人的年龄、文化、性别、退让距离、温度、旅行目的、运动方向和建筑设施类型对行人流速度和流量的影响,以及行人流的密度和速度关系。成果显示:各国学者在人群的速度、密度和流量之间的相互关系方面研究较多,所得的结论趋于一致;但对于影响行人流速度和流量的各种因素并没有进行深入的研究,尤其是拥挤情况下行人的心理状态和拥挤事故的相互关系。     

Investigating the risk factors associated with pedestrian injury severity in Illinois

IntroductionPedestrians are known as the most vulnerable road users, which means their needs and safety require specific attention in strategic plans. Given the fact that pedestrians are more prone to higher injury severity levels compared to other road users, this study aims to investigate the risk factors associated with various levels of injury severity that pedestrians experience in Illinois.MethodOrdered-response models are used to analyze single-vehicle, single-pedestrian crash data from 2010 to 2013 in Illinois. As a measure of net change in the effect of significant variables, average direct pseudo-elasticities are calculated that can be further used to prioritize safety countermeasures. A model comparison using AIC and BIC is also provided to compare the performance of the studied ordered-response models.ResultsThe results recognized many variables associated with severe injuries: older pedestrians (more than 65 years old), pedestrians not wearing contrasting clothing, adult drivers (16–24), drunk drivers, time of day (20:00 to 05:00), divided highways, multilane highways, darkness, and heavy vehicles. On the other hand, crossing the street at crosswalks, older drivers (more than 65 years old), urban areas, and presence of traffic control devices (signal and sign) are associated with decreased probability of severe injuries.Conclusions and practical applicationsThe comparison between three proposed ordered-response models shows that the partial proportional odds (PPO) model outperforms the conventional ordered (proportional odds—PO) model and generalized ordered logit model (GOLM). Based on the findings, stricter rules to address DUI driving is suggested. Educational programs need to focus on older pedestrians given the increasing number of older people in Illinois in the upcoming years. Pedestrians should be educated to use pedestrian crosswalks and contrasting clothing at night. In terms of engineering countermeasures, installation of crosswalks where pedestrian activity is high seems a promising practice.     

The influence of alcohol on pedestrians: A different approach to the effectiveness of the new traffic safety law

Objective: The aim of this study was to explore the effects of the new traffic safety law on pedestrian mortality by exploring hazardous behaviors of pedestrians in terms of alcohol use and blood alcohol concentration (BAC).

Methods: A retrospective autopsy study was performed, covering a 7-year period (from 2006 to 2012), including cases of fatally injured pedestrians who died at the scene of the incident. Blood samples obtained from the femoral vein during autopsy were analyzed for BAC. The entire sample was divided into 2 groups. The first included cases from 2006 to 2009, at which time the old traffic safety law was in force, and the second included cases from 2010 to 2012, under the new traffic safety law.

Results: A total of 247 cases were examined, covering a 7-year period. The average age was 57.5 ± 19.7 years (median 61.0 years) with a significant male predominance of 147 men to 100 women. This predominance also applied to alcohol use (54 vs. 13). The results show a significant decrease in the total annual number of fatally injured pedestrians, starting from 2009, compared to previous years, reaching a low in 2010, one year after implementation of the new traffic safety law. In contrast, the proportion of alcohol-intoxicated pedestrians showed no significant difference in the years preceding and following the new traffic safety law, nor did the annual distribution of BAC or mean BAC before and after application of the new law.

Conclusion: The present study indicates that the new traffic safety law has been quite effective in reducing pedestrian mortality. However, alcohol consumption and intoxication in pedestrians remains a fairly important factor in motor vehicle accidents involving pedestrians, because the proportion of pedestrians positive for alcohol, the proportion of severely intoxicated pedestrians with BAC > 1 g/L, and annual mean BAC have remained unchanged.