IDEAS home Printed from https://ideas.repec.org/a/spr/pubtra/v14y2022i2d10.1007_s12469-021-00271-3.html
   My bibliography  Save this article

Public transportation vehicle selection by the grey relational analysis method

Author

Listed:
  • Gülçin Canbulut

    (Nuh Naci Yazgan University)

  • Erkan Köse

    (Nuh Naci Yazgan University)

  • Oğuzhan Ahmet Arik

    (Nuh Naci Yazgan University)

Abstract

The success of businesses today is largely dependent on their ability to find solutions to complex problems they encounter. Vehicle selection, which requires considering many objective and subjective criteria, is at the top of these problems. The tramway selection problem of a company operating in the public transport sector in Turkey is discussed in this study. The company wants to increase passenger carrying capacity and renew its vehicle fleet. For this purpose, it has to choose from eight alternative vehicles with different superior features. Considering the high costs that may arise from wrong selection, it becomes clear how important it is to use the right method to solve the problem. In this study, the evaluation criteria were determined by taking the opinions of experts first. Then, weights were assigned to the criteria using the Analytical Hierarchy Process (AHP). In the last stage, the best alternative has been tried to be determined by using grey relationship analysis (GRA). It is common to use more than one method to test the reliability of the results in solving multi-criteria decision-making (MCDM) problems. In this study, multi-objective optimization, based on ratio analysis (MOORA), which is one of the most preferred methods to solve MCDM problems, was used to test the accuracy of the results. Although various MCDM methods are used in the literature to solve similar problems, the use of grey relationship analysis has not been encountered. With this aspect, this study has expanded the application of grey theory and made an important contribution to the literature. Another important contribution of the study is that the evaluation criteria for the tramway selection problem have been determined with the help of experts. Finally, this study presents a scientific approach to the solution of a complex real-life problem.

Suggested Citation

  • Gülçin Canbulut & Erkan Köse & Oğuzhan Ahmet Arik, 2022. "Public transportation vehicle selection by the grey relational analysis method," Public Transport, Springer, vol. 14(2), pages 367-384, June.
    • Handle: RePEc:spr:pubtra:v:14:y:2022:i:2:d:10.1007_s12469-021-00271-3
    DOI: 10.1007/s12469-021-00271-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12469-021-00271-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12469-021-00271-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Luigi Moccia & Duncan W. Allen & Gilbert Laporte, 2020. "A spatially disaggregated model for the technology selection and design of a transit line," Public Transport, Springer, vol. 12(3), pages 647-691, October.
    2. Milan Janic, 2003. "Multicriteria Evaluation of High-speed Rail, Transrapid Maglev and Air Passenger Transport in Europe," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(6), pages 491-512, December.
    3. Manik Chandra Das & Abanish Pandey & Arun Kumar Mahato & Rajnish Kumar Singh, 2019. "Comparative performance of electric vehicles using evaluation of mixed data," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 1067-1090, September.
    4. Willem Brauers, 2013. "Multi-objective seaport planning by MOORA decision making," Annals of Operations Research, Springer, vol. 206(1), pages 39-58, July.
    5. Willem Karel M. Brauers & Romualdas Ginevičius, 2009. "Robustness in regional development studies. The case of Lithuania," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 10(2), pages 121-140, February.
    6. Luigi Moccia & Duncan W. Allen & Eric C. Bruun, 2018. "A technology selection and design model of a semi-rapid transit line," Public Transport, Springer, vol. 10(3), pages 455-497, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luigi Moccia & Duncan W. Allen & Gilbert Laporte & Andrea Spinosa, 2022. "Mode boundaries of automated metro and semi-rapid rail in urban transit," Public Transport, Springer, vol. 14(3), pages 739-802, October.
    2. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    3. Christian Wankmüller & Maximilian Kunovjanek & Robert Gennaro Sposato & Gerald Reiner, 2020. "Selecting E-Mobility Transport Solutions for Mountain Rescue Operations," Energies, MDPI, vol. 13(24), pages 1-19, December.
    4. Wang, Kun & Xia, Wenyi & Zhang, Anming & Zhang, Qiong, 2018. "Effects of train speed on airline demand and price: Theory and empirical evidence from a natural experiment," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 99-130.
    5. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2016. "Air transport and high-speed rail competition: Environmental implications and mitigation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 261-276.
    6. Łatuszyńska Anna, 2014. "Multiple-Criteria Decision Analysis Using Topsis Method For Interval Data In Research Into The Level Of Information Society Development," Folia Oeconomica Stetinensia, Sciendo, vol. 13(2), pages 1-14, July.
    7. Zhao, Deng & Zhen-fu, Li & Yu-tao, Zhou & Xiao, Chen & Shan-shan, Liang, 2020. "Measurement and spatial spillover effects of port comprehensive strength: Empirical evidence from China," Transport Policy, Elsevier, vol. 99(C), pages 288-298.
    8. Yi Lixin & Cheng Ke & Cao Xiaoying & Sun Yueling & Cheng Xiaoqing & He Ye, 2017. "Analysis of social vulnerability of residential community to hazards in Tianjin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 1223-1243, June.
    9. Eda Ustaoglu & Brendan Williams & Laura O. Petrov & Harutyun Shahumyan & Hedwig Van Delden, 2017. "Developing and Assessing Alternative Land-Use Scenarios from the MOLAND Model: A Scenario-Based Impact Analysis Approach for the Evaluation of Rapid Rail Provisions and Urban Development in the Greate," Sustainability, MDPI, vol. 10(1), pages 1-34, December.
    10. Sergey G. Belyaev & Nikolay I. Dorogov & Ivan A. Kapitonov & Ivan A. Kapitonov & Svetlana N. Asabina, 2020. "Ensuring competition in the context of globalization of maritime transport services," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 1597-1611, March.
    11. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2015. "Would competition between air transport and high-speed rail benefit environment and social welfare?," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 118-137.
    12. Romualdas Ginevičius & Dainora Gedvilaite & Šarunas Bruzge, 2015. "Assessment of a Country’s Regional Economic Development on the Basis of Estimation of a Single Process (ESP) Method," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 3(2), pages 141-153.
    13. Peyman Babashamsi & Nur Izzi Md Yusoff & Halil Ceylan & Nor Ghani Md Nor & Hashem Salarzadeh Jenatabadi, 2016. "Sustainable Development Factors in Pavement Life-Cycle: Highway/Airport Review," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    14. Uroš Kramar & Dejan Dragan & Darja Topolšek, 2019. "The Holistic Approach to Urban Mobility Planning with a Modified Focus Group, SWOT, and Fuzzy Analytical Hierarchical Process," Sustainability, MDPI, vol. 11(23), pages 1-29, November.
    15. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Moustafa Zino, 2023. "Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    16. Macharis, Cathy & De Witte, Astrid & Turcksin, Laurence, 2010. "The Multi-Actor Multi-Criteria Analysis (MAMCA) application in the Flemish long-term decision making process on mobility and logistics," Transport Policy, Elsevier, vol. 17(5), pages 303-311, September.
    17. Barfod, Michael Bruhn & Salling, Kim Bang, 2015. "A new composite decision support framework for strategic and sustainable transport appraisals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 1-15.
    18. Afaq Ahmad & Muhammad Khalid & Zahid Ullah & Naveed Ahmad & Mohammad Aljaidi & Faheem Ahmed Malik & Umar Manzoor, 2022. "Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging," Energies, MDPI, vol. 15(24), pages 1-32, December.
    19. Yeu-Shiang Huang & Wei-Hao Li, 2012. "A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making," Group Decision and Negotiation, Springer, vol. 21(4), pages 461-473, July.
    20. Babar, Abdul Haseeb Khan & Ali, Yousaf, 2021. "Enhancement of electric vehicles’ market competitiveness using fuzzy quality function deployment," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pubtra:v:14:y:2022:i:2:d:10.1007_s12469-021-00271-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.