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Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

Author

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  • Vladimir Pajković

    (Faculty of Mechanical Engineering, University of Montenegro, 81000 Podgorica, Montenegro)

  • Mirjana Grdinić-Rakonjac

    (Faculty of Mechanical Engineering, University of Montenegro, 81000 Podgorica, Montenegro)

Abstract

Self-reported behavioural data, being often linguistic variables that represent a qualitative measure of respondents’ opinions/attitudes, are vague, uncertain, and fuzzy in nature. A road safety performance index, based on these fuzzy data, should consider this uncertainty. In this study, fuzzy numbers were used to describe self-reported behaviour on Montenegrin roads, which was further integrated into the data envelopment analysis (DEA), a technique for measuring the relative performance of decision-making units (DMUs). The vagueness of the performance scores obtained in this way was treated with grey relational analysis (GRA). GRA was applied to the cross-efficiency (CE) matrix constructed by the DEA to distinguish Montenegrin municipalities’ performance, with the main goal of describing road safety in the observed territories in the environment of uncertain/grey data. It is concluded that the proposed DEA–GRA model, based on fuzzy data, provides a more reasonable and encompassing measure of performance, and with which the overall ranking position of municipalities can be obtained.

Suggested Citation

  • Vladimir Pajković & Mirjana Grdinić-Rakonjac, 2021. "Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13837-:d:702680
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    References listed on IDEAS

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    1. Danish Farooq & Sarbast Moslem & Szabolcs Duleba, 2019. "Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    2. Adel Hatami-Marbini & Saber Saati & Madjid Tavana, 2011. "Data Envelopment Analysis with Fuzzy Parameters: An Interactive Approach," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 2(3), pages 39-53, July.
    3. Kao, Chiang & Lin, Pei-Huang, 2011. "Qualitative factors in data envelopment analysis: A fuzzy number approach," European Journal of Operational Research, Elsevier, vol. 211(3), pages 586-593, June.
    4. HATAMI-MARBINI, Adel & SAATI, Saber & TAVANA, Madjid, 2011. "Data envelopment analysis with fuzzy parameters: an interactive approach," LIDAM Reprints CORE 2329, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Michelle Lalla & Gisella Facchinetti & Giovanni Mastroleo, 2005. "Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(5), pages 577-601, January.
    6. Mehdi Toloo & Esmaeil Keshavarz & Adel Hatami-Marbini, 2021. "An interval efficiency analysis with dual-role factors," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 255-287, March.
    7. R G Dyson & E A Shale, 2010. "Data envelopment analysis, operational research and uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 25-34, January.
    8. Finan, J. S. & Hurley, W. J., 1999. "Transitive calibration of the AHP verbal scale," European Journal of Operational Research, Elsevier, vol. 112(2), pages 367-372, January.
    9. Behnood, Hamid Reza, 2018. "Best practice analysis of action for road safety in Iran amongst the leading developing countries using an optimized success indicator," Transport Policy, Elsevier, vol. 66(C), pages 76-84.
    10. Ioannis E. Tsolas, 2019. "Utility Exchange Traded Fund Performance Evaluation. A Comparative Approach Using Grey Relational Analysis and Data Envelopment Analysis Modelling," IJFS, MDPI, vol. 7(4), pages 1-9, November.
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    1. Azdasheer Barhoum & Hamid Reza Behnood, 2023. "Targets for fuzzy enforcement scores; a way to set policies for helmet and seat-belt among countries," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1285-1299, August.

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