Composite Road Safety Performance Indicators in Developing Countries; a Result Focus Comparison Analysis

Document Type : Research Paper


1 PhD, Assistant Professor, Highways and Transportation, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran

2 PhD Candidate, Transportation, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran


Among the many goals of global plans, one can refer to the development and implementation of sustainable road safety strategies and programs which can lead to an ambitious but feasible goal of reducing road fatalities by monitoring road safety performance indicators. With global goals in mind, this study attempts to provide a rational framework for comparing several mathematical models for achieving national-level road safety targets in Iran and among a number of developing countries and emerging economies. The main purpose of this paper is to develop a multi-criteria decision making model for analyzing and selecting the best composite indicator from the results of several previous studies in this field over the fifteen countries. For this purpose, the PROMETHEE method was used to analyze the robustness of the results of four methods. These four methods are simple ranking by fatality rates, Success Indicators using data envelopment analysis by a two-objective nonlinear programming model, integration of Structural Equation Modeling and Data Envelopment Analysis (SEM-DEA method), and the outranking method of ELECTRE that were used simultaneously in a study to analyze road safety performance indicators in the same 15 countries. By applying the preference function used in this study, the ELECTRE method has presented higher robust results. Interventions that should be emphasized in Iran in priority order are the development of vehicle safety, the improvement of the road safety management structure and the development of post-crash response.


- Aarts, L.T. and Houwing, S., (2015). Benchmarking road safety performance by grouping local territories: A study in the Netherlands. Transportation research part A: policy and practice, 74, pp.174-185.
- Ahmadvand, A., Abtahy, Z. and Bashiri, M., (2011). Considering undesirable variables in PCA-DEA method: A case of road safety evaluation in Iran. Journal of Industrial Engineering, International, 7(15), pp.43-50.
- Asadamraji, M. (2022). Novel Index of Budget Allocation to Practical Projects of Intelligent Transportation Systems in a Transit Corridor. International Journal of Transportation Engineering, 9(3), 735-747.‏
- Ayadi, H., Hamani, N., Kermad, L., & Benaissa, M. (2021). Novel fuzzy composite indicators for locating a logistics platform under sustainability perspectives. Sustainability, 13(7), 3891.‏
- Banker, R.D., Charnes, A. and Cooper, W.W., (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), pp.1078-1092.
- Bao, Q., Ruan, D., Shen, Y., Hermans, E. and Janssens, D., (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-based systems, 32, pp.84-90.
- Bastos, J.T., Shen, Y., Hermans, E., Brijs, T., Wets, G. and Ferraz, A.C.P., (2015). Traffic fatality indicators in Brazil: State diagnosis based on data envelopment analysis research. Accident Analysis & Prevention, 81, pp.61-73.
- Behnood, H.R. and Pirayesh Neghab, M., (2014). Road safety performance evaluation and policy making by data envelopment analysis: A case study of provincial data in Iran. Scientia Iranica, 21(5), pp.1515-1528.
- Behnood, H.R., Ayati, E., Brijs, T., Neghab, M.P. and Shen, Y., (2017), October. A fuzzy decision-support system in road safety planning. In Proceedings of the Institution of Civil Engineers-Transport (Vol. 170, No. 5, pp. 305-317). Thomas Telford Ltd.
- Behnood, H.R., (2018). Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator. Transport policy, 66, pp.76-84.
- Behnood, H.R., Rajabpour, M., Rassafi, A.A. and Hermans, E., (2020). Efficiency Analysis of Road Safety Pillars by Applying the Results of a Structural Equations Model in Data Envelopment Analysis. International Journal of Transportation Engineering.
- Bliss, T. and Jeanne, B., (2013). Road safety management capacity reviews and safe system projects guidelines. Global Road Safety Facility, Washington, DC.
- Bliss, T. and Raffo, V., (2013). Improving Global Road Safety: Towards Equitable and Sustainable Development, Guidelines for Country Road Safety Engagement.
- Brans, J.P. and Ve Vincle, P., (1985). A Preference Ranking Organization Method. Management Science. vol, 31, pp.647-656.
- Brans, J.P., Vincke, P. and Mareschal, B., (1986). How to select and how to rank projects: The PROMETHEE method. European journal of operational research, 24(2), pp.228-238.
- Charnes, A., Cooper, W.W. and Rhodes, E., (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), pp.429-444.
- Chen, F., Zhu, Y., Zu, J., Lyu, J., & Yang, J. (2022). Appraising road safety attainment by CRITIC-ELECTRE-FCM: a policymaking support for Southeast Asia. Transport policy, 122, 104-118.‏
- Emrouznejad, A. and Yang, G.L., (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, pp.4-8.
- Emrouznejad, A. and Thanassoulis, E., (2018). Data Envelopment Analysis and Performance Measurement: Recent. Aston Business School, Birmingham, UK.
- Ganji, S.S. and Rassafi, A.A., (2019). Measuring the road safety performance of Iranian provinces: a double-frontier DEA model and evidential reasoning approach. Int J Inj Control Saf Promot, 26(2), pp.156-169.
- Grdinić-Rakonjac, M., Antić, B., Pešić, D., & Pajković, V. (2021). Construction of road safety composite indicator using grey relational analysis. Promet-Traffic&Transportation, 33(1), 103-116.‏
- Hermans, E., Van den Bossche, F. and Wets, G., (2007). Impact of methodological choices on road safety ranking. University of Hasselt, Belgium.
- Hermans, E., Van den Bossche, F. and Wets, G., (2008). Combining road safety information in a performance index. Accident Analysis & Prevention, 40(4), pp.1337-1344.
- Hermans, E., (2009). A methodology for developing a composite road safety performance index for cross-coountry comparison (Doctoral dissertation, UHasselt Diepenbeek).
- Independent Council for Road Safety International, (2020). ICoRSI’s comments on WHO’s draft global targets for road safety risk factors. International Journal of Injury Control and Safety Promotion, pp.1-6.
- Kraujalienė, L. (2019). Comparative analysis of multicriteria decision-making methods evaluating the efficiency of technology transfer. Business, Management and Education, 17(1), 72-93.‏
- Kukić, D., Lipovac, K., Pešić, D. and Vujanić, M., (2013). Selection of a relevant indicator–road casualty risk based on final outcomes. Safety science, 51(1), pp.165-177.
- Nikolaou, P. and Dimitriou, L., (2018). Evaluation of road safety policies performance across Europe: Results from benchmark analysis for a decade. Transportation research part A: policy and practice, 116, pp.232-246.
- Pajković, V., & Grdinić-Rakonjac, M. (2021). Evaluation of road safety performance based on self-reported behaviour data set. Sustainability, 13(24), 13837.‏
- Peykani, P., Mohammadi, E., Emrouznejad, A., Pishvaee, M.S. and Rostamy-Malkhalifeh, M., (2019). Fuzzy data envelopment analysis: An adjustable approach. Expert Systems with Applications, 136, pp.439-452.
- Rosić, M., Pešić, D., Kukić, D., Antić, B. and Božović, M., (2017). Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method. Accident Analysis & Prevention, 98, pp.277-286.
- Sarraf, R., & McGuire, M. P. (2020). Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399.‏
- Sarikhani, S., Behnood, H., Rassafi, A. (2020). Road Safety Performance Evaluation in Iran and Developing Countries using Outranking Methods, Journal of Transportation Research, 17(2), pp. 233-250.
- Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T. and Vanhoof, K., (2011). A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation. Expert systems with applications, 38(12), pp.15262-15272.
- Shen, Y., Hermans, E., Bao, Q., Brijs, T. and Wets, G., (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic injury prevention, 16(3), pp.246-253.
- Tavakoli Kashani, A., Azizi Bondarabadi, M. and Besharati, M.M., (2019). A risk-exposure-resources approach for incorporating the performance efficiency in developing composite safety performance index. Transportation Letters, pp.1-6.
- ufail, M., Hussain, J., Hussain, H., Hafeez, I., & Ahmad, N. (2021). Analysis of Rural Roads in Developing Countries Using Principal Component Analysis and Simple Average Technique in the Development of a Road Safety Performance Index. International Journal of Transport and Vehicle Engineering, 15(3), 120-127.‏
- United Nations Road Safety Collaboration, (2011). Global plan for the Decade of Action for Road Safety 2011-2020. Geneva: World Health Organization.
- World Bank Group, (2015). World Development Indicators 2015. International Bank for Reconstruction and Development, the World Bank.
- World Health Organization, (2015). Global status report on road safety 2015. World Health Organization.
- World Health Organization, (2018). Global status report on road safety 2018: Summary (No. WHO/NMH/NVI/18.20). World Health Organization.