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Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach

Author

Listed:
  • Hakan Murat Arslan

    (Duzce University, Faculty of Business, Department of Management and Information Systems, Düzce, Türkiye)

  • Ismail Durak

    (Duzce University, Faculty of Business, Department of Management and Information Systems, Düzce, Türkiye)

  • Ece Yavuzyilmaz

    (Duzce University, Faculty of Business, Department of Management and Information Systems, Düzce, Türkiye)

Abstract

One of the key service elements of travel companies operating in the road transportation sector are passenger buses. Deciding to purchase a new bus requires managers to consider various aspects, complicating the decision-making process. In this context, implementing Multi-Criteria Decision Making (MCDM) methodologies in such decision problems can provide more accurate and effective solutions. The aim of this study is to investigate the new bus purchase decision processes of travel companies operating in Turkey with MCDM methods and to determine the most suitable bus model. Ten major bus models were analyzed in the study using four different MCDM approaches based on four major criteria and 16 sub-criteria. The weights of the criteria used in the evaluation of the relevant decision problem were determined by the Entropy method. Moreover, WASPAS, EDAS, and Gray Relational Analysis were utilized separately to discover the best suitable alternative. Furthermore, the rankings generated by these several MCDM approaches were compared using Spearman Rank Correlation Analysis in the study, and they were found to be highly consistent. The study provides several key recommendations for academic research and industry practice moving forward.

Suggested Citation

  • Hakan Murat Arslan & Ismail Durak & Ece Yavuzyilmaz, 2024. "Determining the Most Suitable Bus Model for the Urban Transportation Sector: A Hybrid Multi-Criteria Decision-Making Approach," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 22(5), pages 616-632.
    • Handle: RePEc:zna:indecs:v:22:y:2024:i:5:p:616-632
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    More about this item

    Keywords

    intercity passenger transport; entropy method; EDAS method; WASPAS method; grey relational analysis method;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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