Title: Data envelopment analysis for investigating optimal road safety policies utilising global epidemiological, risk exposure and socio-economic statistics

Authors: Loukas Dimitriou; Paraskevas Nikolaou

Addresses: Laboratory for Transport Engineering, Department of Civil and Environmental Engineering, University of Cyprus, 75 Kallipoleos Str., P.O. Box 20537, 1678 Nicosia, Cyprus ' Laboratory for Transport Engineering, Department of Civil and Environmental Engineering, University of Cyprus, 75 Kallipoleos Str., P.O. Box 20537, 1678 Nicosia, Cyprus

Abstract: The raising number of motorisation and the associated number of road traffic fatalities is reasonably considered as an epidemic phenomenon and one of the most important issues in public policy. In order to understand the phenomenon of road traffic fatalities and to propose road safety measures and policies, it could be helpful the investigation of the phenomenon on a global scale. The current paper focuses on the analysis of the road traffic fatalities, taking into consideration global epidemiological data for a benchmark dataset of the year 2010. The objective is to evaluate-benchmark the countries on their road safety performance, utilising their socio-economic and demographic context. Finally, road safety measures and strategies of the best-performing countries are suggested to the under-performing countries in favour of their road safety enhancement. The analytical framework here is based on data envelopment analysis (DEA), which is considered a straightforward benchmarking technique.

Keywords: data envelopment analysis; DEA; benchmarking analysis accidents statistics; data-driven analysis; multicollinearity; road traffic fatalities; global sectoral data.

DOI: 10.1504/IJDSS.2017.092268

International Journal of Decision Support Systems, 2017 Vol.2 No.4, pp.278 - 289

Accepted: 24 Jul 2017
Published online: 12 Jun 2018 *

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