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This research analyzes the sustainability of quantified road safety targets set in OECD countries through regression analysis and long-term fatality trend studies. The findings provide insights into the effectiveness of these targets in achieving significant reductions in road fatalities. The study emphasizes the importance of setting appropriate targets that balance ambition, capability, and social acceptability. It also explores the intermediate factors influencing fatality reduction and calls for a comprehensive road safety management framework.
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Quantified road safety target - Is the effect sustainable? S.C. Wong The University of Hong Kong Tony Sze Delft University of Technology
Structure of Presentation • Introduction • Data • Method • Results • Discussions • Conclusions
Introduction Road safety strategy framework • FOCUS: Development of objective-related, cost effective, and practical measures that contribute to target achievement
Social acceptability Capability Ambition Introduction Achievable and challenging road safety target • When a target is too ambitous, it becomes disappointing with no proven effectiveness, and demotivates • When a target is too ‘easy’, and can be achieved without a high level of implementation, complacency is induced • THEREFORE, setting up an appropriate target that strikes a balance among ambition, capability and social acceptability is necessary
Short-term effect on average fatality Introduction Previous work • Wong, S.C., Sze, N.N., Yip, H.F. et al. (2006) Association between setting quantified road safety targets and road fatality reduction. Accident Analysis and Prevention 38, 997-1005.
Long-term effect on trend of fatality Introduction Current perspectives
Data Setting road safety target in OECD countries • 14 OECD countries first set quantified road safety target in 1970s – 1990s • 7 of which further set a new target before the expiration of 1st target • 16 OECD countries have no evidence of target setting till year 2001
Data Fatality data Source of data for current study • International Road Traffic & Accident Database (IRTAD) • World Road Statistics (WRS)
y=0 (reference) Data Sample and study period • Sample • 1st target set in OECD countries during the period 1973-1997 • Study period for the effect of target setting • y = 1: year of target setting • y = Y: target year • or year preceding setting of new target
y=0 (reference) Data Sample and study period • Sample • 1st target set in OECD countries during the period 1973-1997 • Study period for the effect of target setting • y = 1: year of target setting • y = Y: target year • or year preceding setting of new target
Data Comparison group
Data Comparison group (cont’d)
Data Treatment group
Scaling factor of annual fatality number at year y, where y = 0 denotes reference year (year preceding a target setting) Method Normalization of fatality data
Scaling factor of annual fatality number at year y, where y = 0 denotes reference year (year preceding a target setting) Method Normalization of fatality data
Method Qualification test for comparison group Regression analysis • Historical fatality trend in the ‘before’ period • Trend of log-transformed scaling factor, f and year, y, where i = t denotes treatment group i = c (c = 1, 2, 3, … C ) denotes comparison group α denotes time-series trend of ln (f )
Method Qualification test for comparison group Regression analysis • Difference in time-series trend between treatment & comparison group Treatment group Comparison group where δ is a dummy variable to signify a comparison group • Therefore, the regression equation for qualification test,
Method Qualification test for comparison group (cont’d)
Method Qualification test for comparison group (cont’d)
Method Effectiveness evaluation Regression analysis • Regression equation, whereg (y ) = 1 for i = t & y > 0, and g (y ) = 0 if otherwises h (y ) = a + b y • Existence of target, g(y ) • Effect of target, h(y ) • a- absolute change in fatality number; b- change in the trend of fatality number
Method Effectiveness evaluation (cont’d)
(I) a>0, b>0 (II) a>0, b<0 (III) a<0, b>0 (IV) a<0, b<0 Method Effectiveness evaluation (cont’d) a- absolute change in fatality number b- change in the trend of fatality number
Results Effects of quantified road safety target in long term • Immediate fatality reduction- consistent to the results of previous study • Desirable changes in the trend of fatality number • Diminishing the rate of increase • Changing an increase to a decrease • Yielding a greater reduction
Discussion Sustainable goal and target • Rational, motivating and action guiding goal • More modest and short-term targets as interim milestones Comprehensive road safety management framework • Sub-targets for various road safety indicators • Periodoic progress review for different road entities and sub-targets • Robust institutional framework • Strong political foundation
Discussion (cont’d) Target setting and fatality reduction • Intermediate factors between road safety target and fatality reduction • Factors, circumstances and developments that were anticipated prior to target setting
Conclusions Effectiveness of road safety target set in OECD countries (1970s-1990s) • Regression approach effectiveness evaluation • Trend of fatality number in a longer time span • Desirable effect on the trend of fatality number is revealed Future prospects: a sustainable road safety target • Ambitiousness of target • Existence of long-term committment • Use of sub-targets • Presence of detailed road safety program • National income and expenditure on road safety measures
Thank you! Quantified road safety target- Is the effect sustainable? S.C. Wong and Tony Sze