Abstract:
Measuring road safety achievement through persistent monitoring of subjects, such that they can learn from one another, has been widely encouraged by various countries to support policymaking. In recent decades, the Asia-Pacific Economic Cooperation (APEC) countries have been working together to improve road safety, considering it an important constituent and reflection of their economic development. However, no uniform road safety measurement framework is currently available across the APEC. To this end, the current study develops a practical and efficient methodology, namely, the entropy weight method (EWM) – grey relational analysis (GRA) –
singular value decomposition (SVD) (EWM-GRA-SVD), providing government officials and policymakers with a replicable framework for reporting the road safety achievement of countries. The EWM is employed to obtain the weights of the set of indicators, as the weighting inputs of GRA, to form a composite score for ranking, where the SVD is embedded in the GRA for grouping by means of extracting
singular values. Using the proposed model, best-performing and underperforming countries are distinguished, whereby each country could learn from others within their assigned group based on an overview of achievements and progress in road safety over the past decade. The results enable decision-makers and policymakers to develop action plans and consider necessary interventions promptly and effectively.
