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Growing Science » Decision Science Letters » A fuzzy data envelopment analysis based on credibility theory for estimating road safety

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 8 Issue 3 pp. 275-284 , 2019

A fuzzy data envelopment analysis based on credibility theory for estimating road safety Pages 275-284 Right click to download the paper Download PDF

Authors: Mohaddeseh Amini, Rahim Dabbagh, Hashem Omrani

DOI: 10.5267/j.dsl.2019.1.001

Keywords: Road safety, Data envelopment analysis based road safety, Fuzzy sets, Credibility theory

Abstract: Road accidents as a global challenge, imposing irreparable financial and human life losses in almost all countries, especially in developing countries, annually. According to world health organization (WHO), if this trend continues, road accidents will become the 7th cause of human death by 2030. Thus, road safety policy makers have been trying to use safety promotion and preventative actions. In this paper, the road safety performance of Iranian provinces is studied. To evaluate road safety efficiency scores, data envelopment analysis based on road safety (DEA-RS) method in two deterministic and non-deterministic situations is used. To consider the uncertainty in input and output data, this paper develops credibility DEA-RS (CreDEA-RS) model. In fact, the constraints of DEA-RS model are considered as credibility constraints and a counterpart credibility DEA-RS (CreDEA-RS) model is proposed for evaluating road safety of provinces of Iran. According to the results, provinces located in mountainous and forest areas such as Gilan had a much weaker performance than provinces in desert areas such as Yazd.

How to cite this paper
Amini, M., Dabbagh, R & Omrani, H. (2019). A fuzzy data envelopment analysis based on credibility theory for estimating road safety.Decision Science Letters , 8(3), 275-284.

Refrences
Aron, M., Seidowsky, R., & Cohen, S. (2013). Safety impact of using the hard shoulder during congested traffic. The case of a managed lane operation on a French urban motorway. Transportation Research Part C: Emerging Technologies, 28, 168-180.
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
Bao, Q., Ruan, D., Shen, Y., Hermans, E., & Janssens, D. (2012). Improved hierarchical fuzzy TOPSIS for road safety performance evaluation. Knowledge-based systems, 32, 84-90.
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, 76-84.
Chen, F., Wu, J., Chen, X., Wang, J., & Wang, D. (2016). Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accident Analysis & Prevention, 86, 76-89.
Dubois, D., & Prade, H. (1978) Operations on fuzzy numbers. International Journal of Systems Sciences 9(6), 613–626
Gitelman, V., Doveh, E., & Hakkert, S. (2010). Designing a composite indicator for road safety. Safety Science, 48(9), 1212-1224.
Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2009). Benchmarking road safety: lessons to learn from a data envelopment analysis. Accident Analysis & Prevention, 41(1), 174-182.
Li, X., & Liu, B. (2006). A sufficient and necessary condition for credibility measures. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems, 14(5), 527–535.
Liu, B. (2002). Toward fuzzy optimization without mathematical ambiguity. Fuzzy Optimization and Decision Making, 1(1), 43–63.
Liu, B. (2004). Uncertainty theory: An introduction to its axiomatic foundations. Berlin: Springer-Verlag.
Liu, B., & Liu, Y. K. (2002). Expected value of fuzzy variable and fuzzy expected value models. IEEE Transactions on Fuzzy Systems, 10(4), 445–450.
Liu, Y. K., & Liu, B. (2003). Fuzzy random variables: A scalar expected value operator. Fuzzy Optimization and Decision Making, 2(2), 143–160.
Nikolaou, P., & 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, 232-246.
Rosic, M., Resic, D., Kukic, D., Antic, B., & Bozovic, M. (2018). Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method. Accident Analysis & Prevention, 98, 277-286.
Shen, Y., Hermans, E., Bao, Q., Brijs, T., & Wets, G. (2015). Serious injuries: an additional indicator to fatalities for road safety benchmarking. Traffic Injury Prevention, 16(3), 246-253.
Shen, Y., Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, 48, 430-441.
Wang, J., & Huang, H. (2016). Road network safety evaluation using Bayesian hierarchical joint model. Accident Analysis & Prevention, 90, 152-158.
Wegman, F., & Oppe, S. (2010). Benchmarking road safety performances of countries. Safety Science, 48(9), 1203-1211.
Yannis, G., Weijermars, W., Gitelman, V., Vis, M., Chaziris, A., Papadimitriou, E., & Azevedo, C. L. (2013). Road safety performance indicators for the interurban road network. Accident Analysis & Prevention, 60, 384-395.
Zimmermann, H. J. (2001). Fuzzy sets theory and its applications (fourth ed.). Dordrecht, The Netherlands: Kluwer Academic Publishers.
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Journal: Decision Science Letters | Year: 2019 | Volume: 8 | Issue: 3 | Views: 1619 | Reviews: 0

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