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Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers

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  • Ganji, Seyedreza Seyedalizadeh
  • Rassafi, Amir Abbas
  • Bandari, Samaneh Jamshidi

Abstract

Data envelopment analysis (DEA) has recently become relatively popular with road safety experts. Therefore, various decision-making units (DMUs), such as EU countries, have been assessed in terms of road safety performance (RSP). However, the DEA has been criticized because it evaluates DMUs based only on the concept of self-assessment, and, therefore does not provide a unique ranking for DMUs. Therefore, cross efficiency method (CEM) was developed to overcome this shortcoming. Peer-evaluations in addition to self-evaluation have made the CEM to be recognized as an effective method for ranking DMUs. The traditional CEM is based only on the standard CCR (Charnes, Cooper and Rhodes) model, and it evaluates DMUs according to their position relative to the best practice frontier while neglecting the worst practice frontier. However, the DMUs can also be assessed based on their position relative to the worst practice frontier. In this regard, the present study aims to provide a double-frontier CEM for assessing RSP by taking into account the best and worst frontiers simultaneously. For this purpose, the cross efficiency and cross anti-efficiency matrices are generated.

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  • Ganji, Seyedreza Seyedalizadeh & Rassafi, Amir Abbas & Bandari, Samaneh Jamshidi, 2020. "Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:soceps:v:69:y:2020:i:c:s0038012118301009
    DOI: 10.1016/j.seps.2019.04.003
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    1. Cavaignac, Laurent & Petiot, Romain, 2017. "A quarter century of Data Envelopment Analysis applied to the transport sector: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 57(C), pages 84-96.
    2. Jie Wu & Hong Yan & John Liu, 2009. "Groups in DEA based cross-evaluation: An application to Asian container ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(6), pages 545-558, December.
    3. Karlaftis, Matthew G., 2004. "A DEA approach for evaluating the efficiency and effectiveness of urban transit systems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 354-364, January.
    4. Jain, Priyanka & Cullinane, Sharon & Cullinane, Kevin, 2008. "The impact of governance development models on urban rail efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1238-1250, November.
    5. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    6. Wang, Ying-Ming & Chin, Kwai-Sang, 2011. "The use of OWA operator weights for cross-efficiency aggregation," Omega, Elsevier, vol. 39(5), pages 493-503, October.
    7. Sarkis, Joseph & Talluri, Srinivas, 2004. "Performance based clustering for benchmarking of US airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(5), pages 329-346, June.
    8. Odeck, James, 2006. "Identifying traffic safety best practice: an application of DEA and Malmquist indices," Omega, Elsevier, vol. 34(1), pages 28-40, January.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Soltanifar, Mehdi & Shahghobadi, Saeid, 2013. "Selecting a benevolent secondary goal model in data envelopment analysis cross-efficiency evaluation by a voting model," Socio-Economic Planning Sciences, Elsevier, vol. 47(1), pages 65-74.
    11. L Cherchye & W Moesen & N Rogge & T Van Puyenbroeck & M Saisana & A Saltelli & R Liska & S Tarantola, 2008. "Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 239-251, February.
    12. Pestana Barros, Carlos & Dieke, Peter U.C., 2007. "Performance evaluation of Italian airports: A data envelopment analysis," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 184-191.
    13. Barros, Carlos Pestana & Dieke, Peter U.C., 2008. "Measuring the economic efficiency of airports: A Simar-Wilson methodology analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1039-1051, November.
    14. Curi, Claudia & Gitto, Simone & Mancuso, Paolo, 2010. "The Italian airport industry in transition: a performance analysis," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 218-221.
    15. Hossein Azizi, 2014. "DEA efficiency analysis: A DEA approach with double frontiers," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(11), pages 2289-2300, November.
    16. Carlos Pestana Barros, 2006. "A Benchmark Analysis of Italian Seaports Using Data Envelopment Analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 8(4), pages 347-365, December.
    17. Beynon, Malcolm, 2002. "DS/AHP method: A mathematical analysis, including an understanding of uncertainty," European Journal of Operational Research, Elsevier, vol. 140(1), pages 148-164, July.
    18. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    19. Yang, Guo-liang & Yang, Jian-bo & Liu, Wen-bin & Li, Xiao-xuan, 2013. "Cross-efficiency aggregation in DEA models using the evidential-reasoning approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 393-404.
    20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    21. Odeck, James, 2000. "Assessing the relative efficiency and productivity growth of vehicle inspection services: An application of DEA and Malmquist indices," European Journal of Operational Research, Elsevier, vol. 126(3), pages 501-514, November.
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