Quantifying the influence of safe road systems and legal licensing age on road mortality among young adolescents: steps towards system thinking.

Based on existing literature, a system thinking approach was used to set up a conceptual model on the interrelationships among the components influencing adolescent road mortality, distinguishing between components at the individual level and at the system level. At the individual level the role of risk behaviour (sometimes deliberate and sometimes from inexperience or other non-deliberate causes) in adolescent road mortality is well documented. However, little is known about the extent to which the 'road system' itself may also have an impact on younger adolescents' road mortality. This, by providing a safe or unsafe road environment for all road users (System-induced exposure) and by allowing access to high-risk vehicles at a young or older age through the legal licensing age. This study seeks to explore these relationships by analysing the extent to which the road mortality of 10 to 17 year olds in various jurisdictions can be predicted from the System-induced Exposure (SiE) in a jurisdiction and from its legal licensing age to drive motor vehicles. SiE was operationalized as the number of road fatalities per 10(5) inhabitants/all ages together, but excluding the 10 to 17 year olds. Data on road fatalities during the years 2001 through 2008 were obtained from the OECD International Road Traffic Accident Database (IRTAD) and from the USA NHTSA's Fatality Analysis Reporting System (FARS) database for 29 early and 10 late licensing jurisdictions. Linear mixed models were fitted with annual 'Adolescent road mortality per capita' for 2001 through 2008 as the dependent variable, and time-dependent 'SiE' and time-independent 'Licensing system' as predictor variables. To control for different levels of motorisation, the time-dependent variable 'Annual per capita vehicle distance travelled' was used as a covariate. Licensing system of a jurisdiction was entered as a categorical predictor variable with late licensing countries as a baseline group. The study found support for the protective effects of SiE on adolescent safety. If SiE increased by one unit, the mortality rate of 10 to 17 year olds increased by 0.487 units. No support was found for a protective effect of late licensing for this age group. Thus, compared to young adolescents who are allowed to drive motor vehicles in early licensing jurisdictions, late licensing does not provide extra protection for pre-license adolescents. This finding is probably the result of the high risks associated with alternative transport modes, such as moped riding and bicycling. Also, the fact that the study only included risks to young adolescents themselves and did not include the risks they might pose to other road users and passengers may have contributed to this finding, because such risks are greater when driving a motor vehicle than riding a moped or a bicycle. Therefore, to advance our understanding of the impact of licensing systems, more study is needed into the benefits of early or late licensing, thereby considering these wider effects as well.

[1]  K. Calman Beyond the ‘nanny state’: Stewardship and public health , 2009, Public Health.

[2]  V. Reyna,et al.  Risk and Rationality in Adolescent Decision Making , 2006, Psychological science in the public interest : a journal of the American Psychological Society.

[3]  Neville A. Stanton,et al.  Road transport in drift? Applying contemporary systems thinking to road safety , 2012 .

[4]  Fred Wegman,et al.  Advancing sustainable safety: National road safety outlook for The Netherlands for 2005–2020 , 2008 .

[5]  J. Giedd,et al.  Adolescent maturity and the brain: the promise and pitfalls of neuroscience research in adolescent health policy. , 2009, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[6]  Willem Vlakveld,et al.  Inexperience and risky decisions of young adolescents, as pedestrians and cyclists, in interactions with lorries, and the effects of competency versus awareness education. , 2013, Accident; analysis and prevention.

[7]  C. Nash International Transport Forum , 2010 .

[8]  E. Crone,et al.  Understanding adolescence as a period of social–affective engagement and goal flexibility , 2012, Nature Reviews Neuroscience.

[9]  Fan Zhang,et al.  How to make more cycling good for road safety? , 2012, Accident; analysis and prevention.

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

[11]  Margaret M. Peden,et al.  World Report on Road Traffic Injury Prevention , 2004 .

[12]  Ty W. Boyer The development of risk-taking: A multi-perspective review , 2006 .

[13]  James T. Reason,et al.  Cognitive failures and accidents , 1990 .

[14]  Daniel P Keating,et al.  Adolescent drivers: a developmental perspective on risk, proficiency, and safety. , 2008, American journal of preventive medicine.

[15]  Nina Dragutinovic,et al.  The Effectiveness Of Road Safety Education. A Literature Review , 2006 .

[16]  Fred Wegman,et al.  SUNflower+6: a comparative study of the development of road safety in the SUNflower+6 countries , 2005 .

[17]  K. Jochelson Nanny or steward? The role of government in public health. , 2006, Public health.

[18]  F Wegman,et al.  SUNFLOWER: A COMPARATIVE STUDY OF THE DEVELOPMENTS OF ROAD SAFETY IN SWEDEN, THE UNITED KINGDOM, AND THE NETHERLANDS , 2002 .

[19]  Sara B. Johnson,et al.  Neuromaturation and Adolescent Risk Taking: Why Development Is Not Determinism , 2010 .

[20]  J. Twisk,et al.  Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide , 2003 .

[21]  W. Stroup Generalized Linear Mixed Models: Modern Concepts, Methods and Applications , 2012 .

[22]  D. Sleet,et al.  A review of unintentional injuries in adolescents. , 2010, Annual review of public health.

[23]  Maria E. Fernandez,et al.  Planning Health Promotion Programs: An Intervention Mapping Approach , 2006 .

[24]  Susan Pardee Baker,et al.  Nationwide Review of Graduated Driver Licensing , 2007 .

[25]  Claes Tingvall,et al.  The need for a systems theory approach to road safety , 2010 .

[26]  A. Glendon,et al.  Neuroscience and Young Drivers , 2011 .

[27]  George Yannis,et al.  Effect of GDP changes on road traffic fatalities , 2014 .

[28]  Divera Twisk WHY DID THE ACCIDENT INVOLVEMENT OF YOUNG (MALE) DRIVERS DROP ABOUT 50 , 2001 .

[29]  C Raymond Bingham,et al.  The effect of the learner license Graduated Driver Licensing components on teen drivers' crashes. , 2013, Accident; analysis and prevention.

[30]  F Wegman,et al.  Advancing sustainable safety: national road safety outlook for 2005-20 , 2006 .

[31]  W. Haddon Advances in the epidemiology of injuries as a basis for public policy. , 1980, Public health reports.

[32]  Divera Twisk,et al.  Changing mobility patterns and road mortality among pre-license teens in a late licensing country: an epidemiological study , 2013, BMC Public Health.

[33]  I Van Schagen,et al.  The uses of exposure and risk in road safety studies , 2002 .

[34]  Guy H. Walker,et al.  Managing error on the open road: the contribution of human error models and methods. , 2010 .

[35]  Divera Twisk,et al.  Protecting pre-license teens from road risk : identifying risk-contributing factors and quantifying effects of intervention strategies , 2014 .

[36]  Willem P Vlakveld,et al.  Five road safety education programmes for young adolescent pedestrians and cyclists: a multi-programme evaluation in a field setting. , 2014, Accident; analysis and prevention.

[37]  S Stradling,et al.  Errors and violations on the roads: a real distinction? , 1990, Ergonomics.

[38]  Ja Michon SPECIAL ISSUE - TRAFFIC EDUCATIONS FOR YOUNG PEDESTRIANS - PREFACE , 1981 .

[39]  Daniel P Keating,et al.  Understanding adolescent development: implications for driving safety. , 2007, Journal of safety research.