Skip to main content
SpringerLink
Log in

Sustainable Public Transportation System Evaluation: A Novel Two-Stage Hybrid Method Based on IVIF-AHP and CODAS

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

As a multi-disciplinary process, planning of public transportation systems needs special attention from several groups of stakeholders such as passengers, transportation planners, system providers, and so on. Since each stakeholder has dissimilar viewpoints on the evaluation of the public transportation systems, they have contradictory goal and objectives. In this sense, multi-criteria decision-making (MCDM) provides an important procedural outline for the evaluation of public transportation alternatives. This paper presents an application of MCDM method to assess the public transportation alternatives designed for a public university in a large-sized metropolitan area. Two alternatives of MCDM methods, named Interval-Valued Intuitionistic Fuzzy Analytical Hierarchy Process & COmbinative Distance-based Assessment (IVIF-AHP & CODAS), are integrated in the evaluation process. The proposed method ensures consistent and reasonable results and provides suggestions for the forthcoming progresses of public transportation service quality. In order to validate robustness of the proposed method, sensitivity analyses are implemented. Also, at the end of the study, to prove the superiority of the proposed approach, a comparative analysis is employed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Litman, T.: Evaluating Public Transit Benefits and Costs, Best Practices Guidebook. Victoria Transport Policy Institute, Victoria (2018)

    Google Scholar 

  2. Ekbatani, M., Cats, O.: Multi-Criteria Appraisal of multi-modal urban public transport systems. In: 18th Euro working group on transportation, EWGT 2015, 14–16 July 2015, Delft, The Netherlands (2015)

  3. Zeynali, M., Aghdaie, M.H., Rezaeiniya, N., Zolfani, S.H.: A hybrid fuzzy multiple criteria decision making (MCDM) approach to combination of materials selection. Afr. J. Bus. Manage. 6(45), 11171–11178 (2012)

    Google Scholar 

  4. Hanine, M., Boutkhoum, O., Tikniouine, A., Agouti, T.: Application of an integrated multi-criteria decision making AHP-TOPSIS methodology for ETL software selection. SpringerPlus 5(1), 263 (2016)

    Google Scholar 

  5. Roy, J., Das, S., Kar, S., Pamučar, D.: An extension of the codas approach using interval-valued intuitionistic fuzzy set for sustainable material selection in construction projects with incomplete weight information. Symmetry 11(3), 393 (2019)

    Google Scholar 

  6. Ghorabaee, M., Zavadskas, E.K., Turskis, Z., Antucheviciene, J.: A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Econ. Comput. Econ. Cybern. Stud. Res. 50(3), 25–44 (2016)

    Google Scholar 

  7. Wu, J., Huang, H.B., Cao, Q.W.: Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Appl. Math. Model. 37(24), 9898–9906 (2013)

    MathSciNet  MATH  Google Scholar 

  8. Aydin, N.: A fuzzy-based multi-dimensional and multi-period service quality evaluation outline for rail transit systems. Transp. Policy 55, 87–98 (2017)

    Google Scholar 

  9. Celik, E., Gül, M., Aydin, N., Gumus, A.T., Güneri, A.F.: A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets. Knowl. Based Syst. 85, 329–341 (2015)

    Google Scholar 

  10. Talvitiie, A., Kronpraser, N., Kikuchi, S.: Transportation decision-making: comparison of hierarchical tree and reasoning map structures. In: 13th world conference 15–18 July 2013 (2013)

  11. Jakimavicius, M., Burinskiene, M.: Assessment of Vilnius city development scenarios based on transport system modelling and multicriteria analysis. J. Civil Eng. Manag. 15(4), 361–368 (2009)

    Google Scholar 

  12. Jeon, C.M., Amekudzi, A.A., Guensler, R.L.: Evaluating plan alternatives for transportation system sustainability: atlanta metropolitan region. Int. J. Sustain. Transp. 4(4), 227–247 (2010)

    Google Scholar 

  13. Nijkamp, P., Borzacchiello, M.T., Ciuffo, B., Torrieri, F.: Sustainable urban land use and transportation planning: a cognitive decision support system for the Naples metropolitan area. Int. J. Sustain. Transp. 1(2), 91–114 (2007)

    Google Scholar 

  14. Keumi, C., Murakami, H.: The role of schedule delays on passengers’ choice of access modes: a case study of japan’s international hub airports. Transp. Res. Part E 48, 1023–1031 (2012)

    Google Scholar 

  15. Zak, J.: The methodology of multiple criteria decision making/aiding in public transportation. J. Adv. Transp. 45, 1–20 (2011)

    Google Scholar 

  16. Aydin, N., Celik, E., Gumus, A.T.: A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul. Transp. Res. Part A Policy Pract. 77, 61–81 (2015)

    Google Scholar 

  17. Liou, J.J.H., Hsu, C.-C., Chen, Y.-S.: Improving transportation service quality based on information fusion. Transp. Res. Part A Policy Pract. 67, 225–239 (2014)

    Google Scholar 

  18. DeBoer, E.: The dynamics of school location and school transportation. TR News 237, 11–16 (2005)

    Google Scholar 

  19. Ettema, D., Arentze, T., Timmermans, H.: Social influences on household location, mobility and activity choice in integrated micro-simulation models. Transp. Res. Part A 45(2011), 283–295 (2011)

    Google Scholar 

  20. Pabayo, R., Gauvin, L.: Proportions of students who use various modes of transportation to and from school in a representative population-based sample of children and adolescents. Prev. Med. 46, 63–66 (2008)

    Google Scholar 

  21. DiGuiseppi, C., Roberts, I., Li, L., Allen, D.: Determinants of car travel on dailiy journeys to school: cross sectional survey of primary school children. BMJ 316(7142), 1426–1428 (1998)

    Google Scholar 

  22. Ipingbemi, O., Aiworo, A.B.: Journey to school, safety and security of school children in Benin City, Nigeria. Transp. Res. Part F n 19, 77–84 (2013)

    Google Scholar 

  23. Eboli, L., Mazzulla, G.: An ordinal logistic regression model for analysing airport passenger satisfaction. EuroMed J. Bus. 4(1), 40–57 (2009)

    Google Scholar 

  24. Zheng, L., Jiaqing, W.: Summary of the application effect of bus rapid transit at beijing south-centre corridor of China. J. Transp. Syst. Eng. Inf. Technol. 7(4), 137–142 (2007)

    Google Scholar 

  25. Teng, J.Y., Tzeng, G.H.: Transportation investment project selection using fuzzy multiobjective programming. Fuzzy Sets Syst. 96(3), 259–280 (1998)

    Google Scholar 

  26. Soltani, A., Marandi, E., Ivaki, Y.: Bus route evaluation using a two-stage hybrid model of Fuzzy AHP and TOPSIS. J. Transp. Lit. 7(3), 34–58 (2013)

    Google Scholar 

  27. Arslan, T.: A hybrid model of fuzzy and AHP for handling public assessments on transportation projects. Transportation 36, 97–112 (2009). https://doi.org/10.1007/s11116-008-9181-9

    Article  Google Scholar 

  28. Hanaoka, S., Kunadhamraks, P.: Multiple criteria and fuzzy based evaluation of logistics performance for intermodal transportation. J. Adv. Transp. 43(2), 123–153 (2009)

    Google Scholar 

  29. Celik, E., Aydin, N., Gumus, A.T.: A multiattribute customer satisfaction evaluation approach for rail transit network: a real case study for Istanbul, Turkey. Transp. Policy 36, 283–293 (2014)

    Google Scholar 

  30. Hassan, M.N., Hawas, Y.E., Ahmed, K.: A multi-dimensional framework for evaluating the transit service performance. Transp. Res. Part A Policy Pract. 50, 47–61 (2013)

    Google Scholar 

  31. Kundu, P., Kar, S., Maiti, M.: A fuzzy MCDM method and an application to solid (2014)

  32. Zak, J.: The methodology of multiple criteria decision making/aiding in public transportation. J. Adv. Transp. 45(1), 1–20 (2011)

    Google Scholar 

  33. Antony, R.J.P., Savarimuthu, S.J., Pathinathan, T.: Method for solving the transportation problem using triangular intuitionistic fuzzy numbers. Int. J. Comput. Alg 03, 590–605 (2014)

    Google Scholar 

  34. Singh, S.K., Yadav, S.P.: A new approach for solving intuitionistic fuzzy transportation problem of type-2. Ann. Oper. Res. 243, 1–15 (2014)

    MathSciNet  Google Scholar 

  35. Hussien, M.L.: Complete solution of multiple objective transportation problems with possibilistic coefficients. Fuzzy Sets Syst. 93(3), 293–299 (1998)

    MathSciNet  Google Scholar 

  36. Bharati, S.K., Singh, S.R.: Transportation problem under interval-valued intuitionistic fuzzy environment. Int. J. Fuzzy Syst. 20(5), 1511–1522 (2018)

    Google Scholar 

  37. Kour, D., Basu, K.: Selection of transportation companies and their mode of transportation for interval valued data. Neutropsophic Sets Syst. 18, 67–79 (2017)

    Google Scholar 

  38. Mihyeon Jeon, C., Amekudzi, A.: Addressing sustainability in transportation systems: definitions, indicators, and metrics. J. Infrastruct. Syst. 11(1), 31–50 (2005)

    Google Scholar 

  39. Awasthi, A., Chauhan, S.S., Omrani, H.: Application of fuzzy TOPSIS in evaluating sustainable transportation systems. Expert Syst. Appl. 38(10), 12270–12280 (2011)

    Google Scholar 

  40. Shiau, T.A.: Evaluating sustainable transport strategies with incomplete information for Taipei City. Transp. Res. Part D Transp. Environ. 17(6), 427–432 (2012)

    Google Scholar 

  41. Bolturk, E., Kahraman, C.: Interval-valued intuitionistic fuzzy CODAS method and its application to wave energy facility location selection problem. J. Intell. Fuzzy Syst. 35, 4865–4877 (2018)

    Google Scholar 

  42. Yeni, F.B., Özçelik, G.: Interval-valued Atanassov intuitionistic Fuzzy CODAS method for multi criteria group decision making problems. Group Decis. Negot. 28(2), 433–452 (2019)

    Google Scholar 

  43. Seker, S.: A novel interval-valued intuitionistic trapezoidal fuzzy combinative distance-based assessment (CODAS) method. Soft Comput. 1–14 (2019)

  44. Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87–96 (1986)

    MATH  Google Scholar 

  45. Atanassov, K., Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31(3), 343–349 (1989)

    MathSciNet  MATH  Google Scholar 

  46. Zavadskas, E., Antucheviciene, J., Hajiagha, S., Hashemi, S.: Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF). Appl. Soft Comput. 24(2014), 1013–1021 (2014)

    Google Scholar 

  47. Grzegorzewski, P.: Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdor & metric. Fuzzy Sets Syst. 148(2004), 319–328 (2004)

    MATH  Google Scholar 

  48. Xu, Z.S.: Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decis. 22(2), 215–219 (2007)

    MathSciNet  Google Scholar 

  49. Saaty, T.L.: The Analytic Hierarchy Process. McGrawHill, New York (1980)

    MATH  Google Scholar 

  50. Ghorabaee, M., Amiri, M., Zavadskas, E.K., Hooshmand, R., Antuchevicienė, J.: Fuzzy extension of the CODAS method for multi-criteria market segment evaluation. J. Bus. Econ. Manag. 18(1), 1–19 (2017)

    Google Scholar 

  51. Manoj, M., Sahu, S.: Comparison of new multi-criteria decision making methods for material handling equipment selection. Manag. Sci. Lett. 8, 139–150 (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Yildiz Technical University, Besiktas, 34349, Istanbul, Turkey

    Sukran Seker & Nezir Aydin

Authors
  1. Sukran Seker
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nezir Aydin
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SS involved in methodology discussion and analysis. NA participated in content planning, sensitivity analysis, and manuscript writing and editing.

Corresponding author

Correspondence to Sukran Seker.

Ethics declarations

Conflict of Interests

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seker, S., Aydin, N. Sustainable Public Transportation System Evaluation: A Novel Two-Stage Hybrid Method Based on IVIF-AHP and CODAS. Int. J. Fuzzy Syst. 22, 257–272 (2020). https://doi.org/10.1007/s40815-019-00785-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-019-00785-w

Keywords

Search

Navigation