Is the effect of quantified road safety targets sustainable?

Recent studies have shown that the setting of road safety targets is associated with a substantial reduction in road fatalities in the short-term. Although such targets may not themselves be responsible for the reduction in fatalities, they serve as a useful measure of the intention and commitment of road authorities to formulate timely road safety measures that lead to the achievement of the target. A quantified target is regarded as one of the key components of a road safety strategy. However, few studies have examined the degree of commitment and attention of road authorities to such targets in the long-term. In this study, we revisit the effectiveness of the quantified road safety targets set by the Organisation for Economic Co-operation and Development (OECD) countries, but with a different method, time scale, and group of comparison countries. We not only evaluate the associations between quantified targets and road fatality levels, but also measure the changes in the time-series trends in road fatalities over the long-term. The results indicate that all seven treatment countries analyzed experienced desirable changes in the time-series trend in road fatalities during the period under study, which implies an increase in road safety improvement over time.     

The expected number of road traffic casualties using stratified data

Road safety policy plans often require robust calculation of the expected number of road casualties in a certain target year. The relevance of such estimations should be measured by their power to influence and support safety policy makers. Thus, techniques to evaluate the safety developments and the estimating methods must be sound, robust, and preferably accepted by both policy makers and the scientific community. In this paper, we concentrate on choosing an appropriate model used for the calculation, rather than on statistical techniques. We calculate a casualty rate from casualty data and mobility (distance travelled) data, which is extrapolated and subsequently multiplied by an expected future distance travelled. After correction for separately assessed effects of additional safety measures, the number of casualties is estimated. We investigate a method where this is done after both mobility data and casualty data are stratified into properly chosen subsets. Projecting these different trends generally leads to a result that differs from the projection of the aggregated data. Also, stratification enables incorporation in the estimation of explaining factors or additional measures related to a specific subset of the casualties. The principles of stratified projections are illustrated by three Dutch projections which were carried out between 2006 and 2008. Also, some preliminary results of further research on stratification are given. The results imply that the rates of change in casualty rate for different traffic modes or driver age, are not necessarily equal. We propose that these specific decreasing trends are a consequence of external influencing factors.     

Smeed's law and expected road fatality reduction: An assessment of the Italian case

IntroductionSmeed's law defines the functional relationship existing between the fatality rate and the motorization rate. While focusing on the Italian case and based on the Smeed's law, the study assesses the possibility for Italy of reaching the target of halving the number of road fatalities by 2020, in light of the evolving socio-economic situation.MethodA Smeed's model has been calibrated based on the recorded Italian data. The evolution of the two indicators, fatality and motorization rates, has been estimated using the predictions of the main parameters (population, fleet size and fatalities). Those trends have been compared with the natural decreasing trend derived from the Smeed's law.ResultsNine scenarios have been developed showing the relationship between the fatality rate and the motorization rate. In case of a limited increase (logistic regression) of the vehicle fleet and according to the estimated evolution of the population, the path defined by motorization and fatality rate is very steep, diverging from the estimated confidence interval of the Smeed's model. In these scenarios the motorization rate is almost constant during the decade.ConclusionsIn the actual economic context, a limited development of the vehicle fleet is more plausible. In these conditions the target achievement of halving the number of fatalities in Italy may occur only in case of a structural break (i.e., the introduction of highly effective road safety policies).Practical applicationThe proposed tools can be used both to evaluate retrospectively the effectiveness of road safety improvements and to assess if a relevant effort is needed to reach the established road safety targets.     

Benchmarking road safety performances of countries

In order to obtain political interest in road safety problems and to learn from other countries’ ‘good practices’, it is often helpful to compare one’s own safety situation with that of other countries. In a number of projects tools have been developed for such comparisons. These tools range from simple ratings of countries on their safety outcomes, such as the annual number of fatalities per capita or per kilometre driven by (motor)vehicles to more comprehensive comparisons.These comparisons not only show differences in safety between countries, but to a certain extent also explain such differences in terms of their safety background and measures taken. Finally, tools have been defined to support road safety policy makers in developing possible safety measures or actions. Procedures for such complex safety comparisons have been developed and tested in several so-called SUNflower studies.This promising approach can be further developed into standard procedures for safety comparisons between all countries in the European Union, and other countries worldwide. This paper wishes to outline the development of such standards for the benchmarking of road safety and safety trends as well as procedures for quantifying safety performances of countries.Starting point of this conceptual framework is the so-called SUNflower-pyramid in which three types of indicators are distinguished. The first one of these, the road safety performance indicator, is called an outcome indicator and is based on the number of killed and injured road users. The second indicator type indicates the quality of the implementation of road safety policies: the implementation performance indicators. The third type of indicator indicates the quality of response in policy documents to improve road safety (policy performance indicator). The three types of indicators are embedded in a policy context: the structure and culture of a country, which are considered as background variables.This paper sets out to describe the framework for the development of a comprehensive set of indicators to benchmark road safety performances of countries or of sub-national jurisdictions. The paper also discusses the advantages and disadvantages of combining such indicators and if combined, how to aggregate how different indicators in one composite performance index. It is argued to group countries in different classes with more or less comparable countries. Different procedures are used for this grouping. The results are promising and it is recommended to work with classes of countries.     

我国道路交通安全发展情景分析

以日本和美国为例 ,分析了发达国家道路交通事故高发期的发展历程 ,得出了道路交通事故的上升与国家经济发展和机动化增长有着直接关系的结论。笔者通过分析和预测我国经济和道路交通的发展情景发现 ,今后我国道路交通发展特征和日本道路交通高发期的情况十分类似。如果现有交通管理体制和技术措施没有大的变化 ,我国道路交通事故死亡人数到 2 0 2 0年可能会超过 2 3万人。为此 ,国家应尽快改善道路交通管理方面所存在体制上、行政上和技术上的不足 ,防止出现笔者所预测的道路交通事故极其严重的局面。     

Strengthening incentives for efficient road safety policy priorities: The roles of cost–benefit analysis and road pricing

This paper discusses how incentives for setting efficient priorities in road safety policy can be strengthened. Efficient priorities are characterised by the use of cost-effective road safety measures. Cost-effective road safety measures can be identified by means of cost-benefit analyses. Studies of the actual priorities in road safety policy, in particular in the Scandinavian countries, suggest that these priorities are inefficient, i.e. characterised by the non-use or sub-optimal use of cost-effective road safety measures as well as an extensive use of ineffective road safety measures. This occurs despite the fact that road safety policy analyses have included extensive cost-benefit analyses of road safety measures. It would thus appear that cost-benefit analyses do not necessarily generate a sufficient incentive to implement cost-effective road safety measures. Possible reasons for this are discussed in the paper. It is argued that a large part of the monetary benefits of road safety measures, as estimated in cost-benefit analyses, are not subject to market transactions, and do therefore not manifest themselves in the form of increased income or higher profits. While cost-benefit analyses are indispensable as a means of identifying cost-effective road safety measures, their influence on actual road safety policy needs to be strengthened by providing additional incentives for the use of cost-effective road safety measures. It is suggested that a system of road pricing could generate such incentives. A brief sketch of a hypothetical system of road pricing is given and some problems associated with the implementation of this system are discussed.     

Towards a method to forecast the effectiveness of national road safety programmes

During the last three decades a more rational approach to political decision making has produced an increasing demand for scientific evaluation. A common understanding of evidence-based policy is that any new measures should have been proven to be effective. At best, these kinds of methodologically sound evaluation studies show the effect of a measure in a given situation. The results are then an essential basis for the design of a broader safety policy. However, at present there is generally little understanding of the effect of the measure in another situation, or of how it would interact with other measures in a programme. Yet, it is precisely such questions that need to be answered if the requirements of policy makers are to be met. Politicians need to be able to estimate whether the expected benefits of a programme justify the investment. Therefore, evidence-based road safety policy should not rely solely on evaluation studies of single measures and ex-post assessments of safety programmes. The method outlined here is for the ex-ante estimation of the potential of a road safety programme, which takes into account existing scientific research, an estimate of the degree of implementation that can be expected at a certain point in time, and the interaction between individual measures.     

Measuring and understanding road safety performance at local territorial level

Road safety performance has traditionally been measured at national level, because the national authorities have assumed main responsibility for managing road safety of citizens. With the rise of EU governance, the role of national government has slightly decreased while the role of local authorities has been reinforced in many countries, creating a new playfield for policy actions. Assessing road safety performance at local territorial level may provide new inputs needed to trigger further improvements in road safety, as it brings about a higher accountability of policy makers and brings relevant issues closer to citizens. The measures and methods for such evaluation have now become broadly available and their application may bring a difference in current pace of road safety improvements. An example of the application of full Bayes spatio-temporal model on local road risk data is provided, illustrating the potential of local areal analysis for a better road safety management.     

The trade-off between efficiency and equity in road safety policy

This paper discusses the relationship between efficiency and equity as objectives of road safety policy. The term efficiency refers to the efficient use of all road safety measures. Road safety measures are used efficiently if the priority given to them is based on the criterion that marginal social benefits should be at least equal to marginal social costs. To use road safety measures efficiently therefore means that the priority given to each measure is set strictly according to cost–benefit analyses. Thus, the main question discussed in this paper is whether setting priorities for safety measures strictly according to cost–benefit analyses will produce results that are regarded as equitable and fair. The notions of equity and fairness do not have any universally accepted definitions. In the paper, an attempt is made to apply John Rawls’ difference principle as a criterion of fairness with respect to the distribution of risk. The distribution of risk is examined along several dimensions: between groups of road users, between regions, between social groups, and with respect to the relationship between who pays for a road safety measure and who benefits from it. It is concluded that there is a conflict between efficiency and equity as far as the provision of road safety is concerned. Promoting greater equity requires a departure from efficiency, as defined in economic welfare theory, as the only criterion for setting policy priorities.     

Can fear of going to jail reduce the number of road fatalities? The Spanish experience

The goal of this article is to evaluate the impact of the drastic Spanish Penal Code reform on the number of road deaths in Spain and the time that the effects might last. This is achieved by means of multivariate unobserved component models set up in a state space framework estimated using maximum likelihood. In short, with this reform Spain might be considered to be closing the final gap that kept it apart from other developed countries as far as the road accident rate is concerned. We have found two different types of effects on Spanish road traffic fatalities. Initially, a month before the reform was passed there was a 24.7 percent fall in Spanish road deaths. After the Bill had been passed and for the following thirteen months, the reduction stayed at a constant sixteen percent. This reform has reduced Spanish road fatalities by 534 in all between November 2007 and December 2008 and the effects will foreseeably continue during 2009.     

Impact of primary safety belt laws on alcohol-related front-seat occupant fatalities: five case studies

OBJECTIVE: Impaired drivers and other high-risk road users are less likely to use their safety belts, thus increasing the risk of fatal injury in the event of a crash. Although safety belt laws have been shown to increase wearing rates for daytime non-crash-involved drivers and their front-seat passengers, little evidence is available on the effect these laws have on belt usage by crash-involved drinking drivers and their passengers. METHODS: This study evaluated the influence of primary safety belt law upgrades from secondary laws on front-seat occupants of passenger cars driven by drinking drivers in fatal crashes in five states: California, Illinois, Maryland, Michigan, and Washington. The outcome measures used to evaluate these law upgrades were (1) the change in safety belt usage rates of front-seat occupants in passenger cars driven by drinking drivers in fatal crashes and (2) the change in alcohol-related front-seat occupant fatalities in passenger cars driven by drinking drivers. RESULTS: Four of the five states demonstrated increases in safety belt use by front-seat occupants of passenger cars of drinking drivers in fatal crashes following the upgrade to primary safety belt laws. Three states (California, Michigan, and Washington) experienced significant reductions in the number of front-seat occupant fatalities in vehicles driven by drinking drivers. CONCLUSIONS: The adoption of primary law upgrades was associated with significant increases in safety belt use (four of five states) and significant reductions in fatalities among high-risk occupants (i.e., front-seat occupants involved in fatal crashes in vehicles driven by drinking drivers) in three of the five states studied.     

Providing the numerical context for British casualty reduction targets

The first national target for reducing road accident casualties in Great Britain was set in 1987, the target year being 2000. As the year 2000 approached, preparations were made for setting a subsequent target, the target year being 2010. A major part of the preparation consisted of forecasting the number of casualties that might be expected in 2010, conditional upon predictions about how the volume of road travel by the various transport modes might change and the type of new road safety measures that the Government might introduce. The forecasts provided the numerical context for the casualty reduction target that the Government announced in March 2000.This paper summarises the statistical analyses of accident data from 1983 to 1998 upon which the forecasts were based, and compares the approach with alternatives that have been adopted elsewhere. It also describes how progress towards the target has been monitored annually, allowing the Government to judge whether additional efforts might be needed to achieve the target. This examination of the actual data from 1999 to 2007 shows how far the original forecasts have proved to be successful.The improvement of car secondary safety over the past 15 years has probably been the development that has had the most significant effect on the national casualty total. A statistical model is used to quantify this effect by analysis of accident data, and the results of the most recent analyses are included.     

When may road fatalities start to decrease?

Introduction

The comparative analysis of macroscopic trends in road safety has been a popular research topic. The objective of this research is to propose a simple and, at the same time, reliable multiple regime model framework for international road safety comparisons, allowing for the identification of slope changes of personal risk curves and respective breakpoints.

Method

The trends of road traffic fatalities in several EU countries have been examined through the temporal evolution of elementary socioeconomic indicators, namely motorized vehicle fleet and population, at the country level.

Results

Piece-wise linear regression models have been fitted, using a methodology that allows the simultaneous estimation of all slopes and breakpoints. The number and location of breakpoints, as well as the slope of the connecting trends, vary among countries, thus indicating different road safety evolution patterns.

Impact on industry

Macroscopic analysis of road accident trends may be proved beneficial for the identification of best examples and the implementation of appropriate programmes and measures, which will lead to important benefits for the society and the economy through the reduction of road fatalities and injuries. Best performing countries and the related programmes and measures adopted may concern several safety improvements at the processes of the road, the vehicle and the insurance industries.

Conclusions

Lessons from the analysis of the past road safety patterns of developed countries provide some insight into the underlying process that relates motorization levels with personal risk and can prove to be beneficial for predicting the road safety evolution of developing countries that may have not yet reached the same breakpoints. Furthermore, the presented framework may serve as a basis to build more elaborate models, including more reliable exposure indicators (such as vehicle-km driven).     

Estimation of the real number of road casualties in Europe

Within this research, the police under-reporting of non-fatal road accident casualties in eight European countries was examined by means of a common methodology applied in each country. Eight national studies were carried out using the common methodology, and this allowed to prepare valid estimates of the level of under-reporting of non-fatal road casualties in Europe in a disaggregate form (namely by country, road user type and injury severity). This provided an insight into the variation of road casualty under-reporting in Europe. Moreover, a new common definition for road casualty severity was proposed that makes use of internationally recognised medical standards. This was established by examining two different injury severity standards, the casualty’s length of stay in hospital and the casualty’s maximum AIS score. The under-reporting coefficients developed within this research were applied to estimate the real number of non-fatal serious road accident casualties, according to the new proposed common definition. For almost all countries, the actual number of serious casualties according to the new proposed definition was found lower than the number of police-recorded serious casualties. With the newly estimated number of serious casualties, the values of the ratio of serious casualties to fatalities are much less widespread across countries. These remaining differences can thus be attributed to real differences in road safety between the countries, after having controlled for the different under-reporting levels and injury severity definitions.     

汽车道路试验安全管理体系建设研究

为了保障汽车道路试验安全、提高安全管理水平,设计提出汽车道路试验安全管理体系(SMS)总方案。根据OHSAS 18001和安全标准化规范的特点分析,论证了融合两种体系建立道路试验SMS的适用性。并从政策与目标、风险管理、安全保证和安全促进四个模块阐述了该体系的搭建思路、框架内容和搭建步骤。最后,以某自主品牌车企研发中心道路试验的应用情况为例进行效果评估,结果表明:汽车道路试验SMS能有效防控风险、提升试验安全管理水平。     

Fatal and serious injuries related to vulnerable road users in Canada

IntroductionThe goals of this study were to analyze possible trends of fatal and serious injuries related to vulnerable road users in Canada (pedestrians, cyclists and motorcyclists) from 1990 to 2012 and the role of alcohol and drugs in these cases. Drugs have rarely been documented with respect to vulnerable road users.MethodThe Traffic Injury Research Foundation's National Fatality and Serious Injury Databases and the Public Health Agency of Canada's Canadian Hospitals Injury Reporting and Prevention Program databases were used. Numbers and rates of fatalities and serious injuries among vulnerable road users were analyzed and regression models were used to assess changes over time.ResultsThe analyses show that while the absolute number of fatalities and the rate per 100,000 population among vulnerable road users may be decreasing, no such trends are apparent when looking at the proportions of these road user fatalities out of all motor-vehicle fatalities. The trend for the proportion of motorcyclist fatalities is significantly increasing (coef. = 0.16, p < 0.001). The elderly (76 years or older) are overrepresented among pedestrian fatalities, and serious injuries (they represent 18.5% of all pedestrian fatalities but only 5.8% of the population), while those 15 years or younger are overrepresented among cyclists (they represent 23.3% of cyclist fatalities but 19.5% of the population), and those 16 to 25 years old are overrepresented among motorcyclists (27.2% of motorcyclists fatalities and 13.6% of population). Alcohol and drug use among fatally injured vulnerable road users were significant problems, especially among pedestrians. Among fatally injured pedestrians tested for alcohol and drugs, 39.7% and 43.4% tested positive, respectively.ConclusionsWith the promotion of walking and cycling as forms of exercise and the popularity of motorcycling, the safety of vulnerable road users is an important issue. The results corroborate previous research and extend our understanding about the influence of alcohol and drugs in vulnerable road user injuries.Practical applicationsThese findings can help better inform prevention and mitigation initiatives for vulnerable road users.     

Traffic climate and driver behaviors: The moderating role of driving skills in Turkey and China

Introduction: While road traffic accidents and fatalities are a worldwide problem, the rates of road traffic accidents and fatalities show differences among countries. Similarly, driver behaviors, traffic climate, and their relationships also show differences among countries. The aim of the current study is to investigate the moderating effect of driving skills on the relationship between traffic climate and driver behaviors by country. (Turkey and China). Method: There were 294 Turkish drivers and 292 Chinese drivers, and they completed the Traffic Climate Scale, the Driving Skills Inventory, and the Driver Behavior Questionnaire. The moderated moderation analyses were conducted with Hayes PROCESS tool on SPSS. Results: The results showed that safety skills moderated the relationship between internal requirements and violations both in Turkey and China. Safety skills also moderated the relationship between internal requirements and errors only in China and the relationship between functionality and violations in Turkey. Perceptual-motor skills moderated the relationships between external affective demands and errors, and also the relationship between internal requirements and positive driver behaviors in Turkey. It can be inferred that driving skills has different influences on traffic climate-driver behaviors relationship in different cultures and there might be cultural differences in the evaluation of drivers’ own driving skills. Practical Applications: Among driving skills, safety skills have a more critical role to increase road safety by decreasing number of violations. Interventions to increase safety skills of drivers might be promising for road safety.     

我国道路交通安全规划基本框架研究

在分析我国道路交通安全形势及发展趋势的基础上,阐述《中华人民共和国道路交通安全法》、《中华人民共和国道路交通安全法实施条例》所要求的制定我国道路交通安全规划的重要性,以及道路交通安全规划对预防道路交通事故的重要指导意义和现实意义。研究发达国家道路交通安全规划的框架结构和规划内容;从宏观的角度提出我国交通安全规划定位的高起点要求;探讨了规划的基本框架结构———规划的实施目标、战略重点和政策保障措施及其相互关系;针对我国实际情况创造性地提出了我国道路交通安全规划非单一性的实施目标;给出了确保规划目标顺利完成应优先考虑的战略重点以及国家政策保障措施。     

Urban street structure and traffic safety

IntroductionThis paper reports the influence of road type and junction density on road traffic fatality rates in U.S. cities.MethodThe Fatality Analysis Reporting System (FARS) files were used to obtain fatality rates for all cities for the years 2005–2010. A stratified random sample of 16 U.S. cities was taken, and cities with high and low road traffic fatality rates were compared on their road layout details (TIGER maps were used). Statistical analysis was done to determine the effect of junction density and road type on road traffic fatality rates.ResultsThe analysis of road network and road traffic crash fatality rates in these randomly selected U.S. cities shows that, (a) higher number of junctions per road length was significantly associated with a lower motor- vehicle crash and pedestrian mortality rates, and, (b) increased number of kilometers of roads of any kind was associated with higher fatality rates, but an additional kilometer of main arterial road was associated with a significantly higher increase in total fatalities. When compared to non-arterial roads, the higher the ratio of highways and main arterial roads, there was an association with higher fatality rates.ConclusionsThese results have important implications for road safety professionals. They suggest that once the road and street structure is put in place, that will influence whether a city has low or high traffic fatality rates. A city with higher proportion of wider roads and large city blocks will tend to have higher traffic fatality rates, and therefore in turn require much more efforts in police enforcement and other road safety measures.Practical applicationsUrban planners need to know that smaller block size with relatively less wide roads will result in lower traffic fatality rates and this needs to be incorporated at the planning stage.