Multi-criteria Selection Analysis of the City Buses at Municipal Transportation

  • Fuat Kosanoglu
  • Alperen BalEmail author
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)


Public transportation decisions are an important aspect of management of cities. Especially, for the small and midsized cities, bus transportation is more important due to lack of rail transportation. The goal of this paper is to present determination of public transportation vehicle from the municipal corporation managers’ perspective by using analytic hierarchy process (AHP). In our analysis, we use 4 main criteria and 9 sub-criteria that are indicated by the experts for the selection of the most suitable bus considering sustainability conditions. A survey is designed about vehicles with internal combustion engines and electric motors that enables each expert to compare the relative priority of each criterion with other criteria. A real world application of a municipal corporation is conducted to illustrate the utilization of the model. The results presented in this study highlight the necessity to integrate analytic and comprehensive decision-making process into public transportation decisions.


Public transportation Multi-criteria decision making Electric buses Analytical hierarchy process Municipal management 


  1. Browne, D., O’Regan, B., & Moles, R. (2008). Use of ecological footprinting to explore alternative transport policy scenarios in an Irish city-region. Transportation Research Part D: Transport and Environment, 13(5), 315–322.CrossRefGoogle Scholar
  2. Chester, M., Pincetl, S., Elizabeth, Z., Eisenstein, W., & Matute, J. (2013). Infrastructure and automobile shifts: Positioning transit to reduce life-cycle environmental impacts for urban sustainability goals. Environmental Research Letters, 8(1), 015041.CrossRefGoogle Scholar
  3. Conti, M., Kotter, R., & Putrus, G. (2015). Energy efficiency in electric and plug-in hybrid electric vehicles and its impact on total cost of ownership. In Electric Vehicle Business Models (pp. 147–165). Cham: Springer.Google Scholar
  4. Corazza, M. V., Guida, U., Musso, A., & Tozzi, M. (2016). A European vision for more environmentally friendly buses. Transportation Research Part D: Transport and Environment, 45, 48–63.CrossRefGoogle Scholar
  5. Dolan, J. G., & Frisina, S. (2002). Randomized controlled trial of a patient decision aid for colorectal cancer screening. Medical Decision Making, 22, 125–139.CrossRefGoogle Scholar
  6. Lajunen, A. (2014). Energy consumption and cost-benefit analysis of hybrid and electric city buses. Transportation Research Part C: Emerging Technologies, 38, 1–15.CrossRefGoogle Scholar
  7. Lajunen, A., & Kalttonen, A. (2015, June). Investigation of thermal energy losses in the powertrain of an electric city bus. In 2015 IEEE Transportation Electrification Conference and Expo (ITEC) (pp. 1–6). IEEE.Google Scholar
  8. Lajunen, A., & Lipman, T. (2016). Lifecycle cost assessment and carbon dioxide emissions of diesel, natural gas, hybrid electric, fuel cell hybrid and electric transit buses. Energy, 106, 329–342.CrossRefGoogle Scholar
  9. Liberatore, M. J., & Nydick, R. L. (2008). The analytic hierarchy process in medical and health care decision making: A literature review. European Journal of Operational Research, 189, 194–207.CrossRefGoogle Scholar
  10. Mahmoud, M., Garnett, R., Ferguson, M., & Kanaroglou, P. (2016). Electric buses: A review of alternative powertrains. Renewable and Sustainable Energy Reviews, 62, 673–684.CrossRefGoogle Scholar
  11. Pihlatie, M., Kukkonen, S., Halmeaho, T., Karvonen, V., & Nylund, N. O. (2014, December). Fully electric city buses—The viable option. In 2014 IEEE International Electric Vehicle Conference (IEVC) (pp. 1–8). IEEE.Google Scholar
  12. Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.MathSciNetCrossRefGoogle Scholar
  13. Saaty, T. L. (1980). The analytical hierarchical process. New York: Wiley.Google Scholar
  14. Saaty, T. L., & Ergu, D. (2015). When is a decision-making method trustworthy? Criteria for evaluating multi-criteria decision making methods. International Journal of Information Technology & Decision Making, 14, 1171–1187.CrossRefGoogle Scholar
  15. Shiau, T. A. (2013). Evaluating sustainable transport strategies for the counties of Taiwan based on their degree of urbanization. Transport Policy, 30, 101–108.CrossRefGoogle Scholar
  16. Tzeng, G. H., & Shiau, T. A. (1987). Energy conservation strategies in urban transportation. Energy Systems and Policy; (United States), 11(1).Google Scholar
  17. Tzeng, G. H., Lin, C. W., & Opricovic, S. (2005). Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy, 33(11), 1373–1383.CrossRefGoogle Scholar
  18. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169, 1–29.MathSciNetCrossRefGoogle Scholar
  19. Vargas, L. G. (1990). An overview of the analytic hierarchy process and its applications. European Journal of Operational Research, 48, 2–8.CrossRefGoogle Scholar
  20. Wang, X., & González, J. A. (2013). Assessing feasibility of electric buses in small and medium-sized communities. International Journal of Sustainable Transportation, 7(6), 431–448.CrossRefGoogle Scholar
  21. Wang, N., Li, Y., & Liu, Y. (2014, October). Economic evaluation of electric bus charging infrastructure. In 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2799–2804). IEEE.Google Scholar
  22. Yedla, S., & Shrestha, R. M. (2003). Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi. Transportation Research Part A: Policy and Practice, 37(8), 717–729.Google Scholar
  23. Zahedi, F. (1986). The analytic hierarchy process—A survey of the method and its applications. Interfaces, 16, 96–108.CrossRefGoogle Scholar
  24. Zeng, X., Yang, N., Song, D., Zhang, C., Wang, J., Wang, J., et al. (2016). Multi-factor integrated parametric design of power-split hybrid electric bus. Journal of Cleaner Production, 115, 88–100.CrossRefGoogle Scholar
  25. Zhou, B., Wu, Y., Zhou, B., Wang, R., Ke, W., Zhang, S., et al. (2016). Real-world performance of battery electric buses and their life-cycle benefits with respect to energy consumption and carbon dioxide emissions. Energy, 96, 603–613.CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Industrial Engineering Department, Engineering FacultyUniversity of YalovaYalovaTurkey

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