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).

[1]  Todd Litman Mobility Management Traffic Safety Impacts , 2006 .

[2]  Ghazwan al-Haji,et al.  ROAD SAFETY DEVELOPMENT INDEX ( RSDI ) , 2003 .

[3]  J. Mackenbach,et al.  Economic development and traffic accident mortality in the industrialized world, 1962-1990. , 2000, International journal of epidemiology.

[4]  V. Muggeo Estimating regression models with unknown break‐points , 2003, Statistics in medicine.

[5]  D. Hinkley Inference in Two-Phase Regression , 1971 .

[6]  Divera A M Twisk,et al.  Trends in young driver risk and countermeasures in European countries. , 2007, Journal of safety research.

[7]  I. Thomas,et al.  Regional analysis of road mortality in Europe. , 2008, Public health.

[8]  A S Hakkert,et al.  A critical review of macro models for road accidents. , 1989, Accident; analysis and prevention.

[9]  Y Page,et al.  A statistical model to compare road mortality in OECD countries. , 2001, Accident; analysis and prevention.

[10]  Khaled A Abbas,et al.  Traffic safety assessment and development of predictive models for accidents on rural roads in Egypt. , 2004, Accident; analysis and prevention.

[11]  M. Cropper,et al.  Traffic Fatalities and Economic Growth , 2003, Accident; analysis and prevention.

[12]  S Oppe,et al.  Macroscopic models for traffic and traffic safety. , 1988, Accident; analysis and prevention.

[13]  Ghazwan Al-Haji,et al.  Road Safety Development Index Theory, Philosophy and Practice , 2007 .

[14]  George Yannis,et al.  Comparative Assessment of Road Safety Performance in Greece , 2007 .

[15]  P. Jacobsen Safety in numbers: more walkers and bicyclists, safer walking and bicycling , 2003, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[16]  S Lassarre,et al.  Analysis of progress in road safety in ten European countries. , 2001, Accident; analysis and prevention.

[17]  M Beenstock,et al.  Globalization in road safety: explaining the downward trend in road accident rates in a single country (Israel). , 2000, Accident; analysis and prevention.

[18]  Reid Ewing,et al.  Urban sprawl as a risk factor in motor vehicle occupant and pedestrian fatalities. , 2003, American journal of public health.

[19]  J Broughton Forecasting road accident casualties in Great Britain. , 1991, Accident; analysis and prevention.

[20]  Michael Sivak Is the U.S. on the path to the lowest motor vehicle fatalities in decades , 2008 .

[21]  M. Muggeo,et al.  segmented: An R package to Fit Regression Models with Broken-Line Relationships , 2008 .