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Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model approach

Author

Listed:
  • Samet Güner

    (Sakarya Üniversitesi, Esentepe Kampüsü, İşletme Fakültesi)

  • Erman Coşkun

    (Sakarya Üniversitesi, Esentepe Kampüsü, İşletme Fakültesi)

Abstract

In addition to their operational efficiency, the service level based performance dimensions of transit systems has begun to attract the attention of several researchers in recent years. The consideration of both operational efficiency and service level performance enables a more comprehensive performance evaluation for bus transit operators. This study aims to investigate the operational efficiency and service level performance of public transportation companies with data envelopment analysis (DEA). However, DEA might assign some highly efficiently operating routes as benchmarks to inefficient ones despite some unsatisfactory service level performance, and vice versa. This benchmarking might help to improve one performance dimension but can result in worsening the other. To overcome this problem, the two-model approach introduced by Shimshak and Lenard (INFOR 45(3):143–151, 2007) is utilized to determine the best performing routes. This approach removes the high operational efficient routes with low service level performance and high service level performers but operationally inefficient routes from the analysis and helps to define best performing benchmarks being able to enhance both operational efficiency and service level performance. At the end of the study, a critique of the two-model approach is presented. This paper makes three contributions to the practice of transit performance evaluation. First, it puts forward the necessity of multi-objectivity for the subunits of transit systems. Second, it demonstrates the applicability of the two-model approach in the transportation industry. And third, it points out that despite the usefulness of the two-model approach to determine the best benchmarks in a multi-objective model, the model suffers to assign input/output goals for inefficient decision making units where input/output variables of distinct objectives are the same or related to each other.

Suggested Citation

  • Samet Güner & Erman Coşkun, 2016. "Determining the best performing benchmarks for transit routes with a multi-objective model: the implementation and a critique of the two-model approach," Public Transport, Springer, vol. 8(2), pages 205-224, September.
    • Handle: RePEc:spr:pubtra:v:8:y:2016:i:2:d:10.1007_s12469-016-0125-z
    DOI: 10.1007/s12469-016-0125-z
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. 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.
    3. Donthu, Naveen & Hershberger, Edmund K. & Osmonbekov, Talai, 2005. "Benchmarking marketing productivity using data envelopment analysis," Journal of Business Research, Elsevier, vol. 58(11), pages 1474-1482, November.
    4. repec:adr:anecst:y:1999:i:54:p:06 is not listed on IDEAS
    5. De Borger, Bruno & Kerstens, Kristiaan, 1996. "Cost efficiency of Belgian local governments: A comparative analysis of FDH, DEA, and econometric approaches," Regional Science and Urban Economics, Elsevier, vol. 26(2), pages 145-170, April.
    6. Bruno De Borger & Kristiaan Kerstens & Álvaro Costa, 2002. "Public transit performance: What does one learn from frontier studies?," Transport Reviews, Taylor & Francis Journals, vol. 22(1), pages 1-38, January.
    7. 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.
    8. Andreas Soteriou & Stavros A. Zenios, 1999. "Operations, Quality, and Profitability in the Provision of Banking Services," Management Science, INFORMS, vol. 45(9), pages 1221-1238, September.
    9. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
    10. Kristiaan Kerstens, 1999. "Decomposing Technical Efficiency and Effectiveness of French Urban Transport," Annals of Economics and Statistics, GENES, issue 54, pages 129-155.
    11. Yoshida, Yuichiro & Fujimoto, Hiroyoshi, 2004. "Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism of overinvestment in Japanese regional airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(6), pages 533-546, November.
    12. John Ruggiero, 2011. "Data Envelopment Analysis," Sports Economics, Management, and Policy, in: Frontiers in Major League Baseball, chapter 0, pages 7-19, Springer.
    13. Sheth, Chintan & Triantis, Konstantinos & Teodorovic, Dusan, 2007. "Performance evaluation of bus routes: A provider and passenger perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 453-478, July.
    14. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.
    15. Chu, Xuehao & Fielding, Gordon J. & Lamar, Bruce W., 1992. "Measuring transit performance using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 26(3), pages 223-230, May.
    16. John Ruggiero, 2011. "Frontiers in Major League Baseball," Sports Economics, Management and Policy, Springer, number 978-1-4419-0831-5, September.
    17. H. David Sherman & George Ladino, 1995. "Managing Bank Productivity Using Data Envelopment Analysis (DEA)," Interfaces, INFORMS, vol. 25(2), pages 60-73, April.
    18. Wade Cook & Moez Hababou & Hans Tuenter, 2000. "Multicomponent Efficiency Measurement and Shared Inputs in Data Envelopment Analysis: An Application to Sales and Service Performance in Bank Branches," Journal of Productivity Analysis, Springer, vol. 14(3), pages 209-224, November.
    19. Karlaftis, Matthew G., 2003. "Investigating transit production and performance: a programming approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(3), pages 225-240, March.
    20. Abagail McWilliams & Annaleena Parhankangas & Jason Coupet & Eric Welch & Darold T. Barnum, 2016. "Strategic Decision Making for the Triple Bottom Line," Business Strategy and the Environment, Wiley Blackwell, vol. 25(3), pages 193-204, March.
    21. H. Sherman & Joe Zhu, 2006. "Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application," Annals of Operations Research, Springer, vol. 145(1), pages 301-319, July.
    22. Viton, Philip A., 1997. "Technical efficiency in multi-mode bus transit: A production frontier analysis," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 23-39, February.
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