IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i10p1590-d1397668.html
   My bibliography  Save this article

Performance Evaluation of Railway Infrastructure Managers: A Novel Hybrid Fuzzy MCDM Model

Author

Listed:
  • Aida Kalem

    (Faculty of Traffic and Communications, University of Sarajevo, Zmaja od Bosne 8, 71000 Sarajevo, Bosnia and Herzegovina)

  • Snežana Tadić

    (Logistics Department, Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Mladen Krstić

    (Logistics Department, Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia
    Department of Economic Sciences, University of Salento, Via Monteroni Snc, 73100 Lecce, Italy)

  • Nermin Čabrić

    (Faculty of Traffic and Communications, University of Sarajevo, Zmaja od Bosne 8, 71000 Sarajevo, Bosnia and Herzegovina)

  • Nedžad Branković

    (Faculty of Traffic and Communications, University of Sarajevo, Zmaja od Bosne 8, 71000 Sarajevo, Bosnia and Herzegovina)

Abstract

Modern challenges such as the liberalization of the railway sector and growing demands for sustainability, high-quality services, and user satisfaction set new standards in railway operations. In this context, railway infrastructure managers (RIMs) play a crucial role in ensuring innovative approaches that will strengthen the position of railways in the market by enhancing efficiency and competitiveness. Evaluating their performance is essential for assessing the achieved objectives, and it is conducted through a wide range of key performance indicators (KPIs), which encompass various dimensions of operations. Monitoring and analyzing KPIs are crucial for improving service quality, achieving sustainability, and establishing a foundation for research and development of new strategies in the railway sector. This paper provides a detailed overview and evaluation of KPIs for RIMs. This paper creates a framework for RIM evaluation using various scientific methods, from identifying KPIs to applying complex analysis methods. A novel hybrid model, which integrates the fuzzy Delphi method for aggregating expert opinions on the KPIs’ importance, the extended fuzzy analytic hierarchy process (AHP) method for determining the relative weights of these KPIs, and the ADAM method for ranking RIMs, has been developed in this paper. This approach enables a detailed analysis and comparison of RIMs and their performances, providing the basis for informed decision-making and the development of new strategies within the railway sector. The analysis results provide insight into the current state of railway infrastructure and encourage further efforts to improve the railway sector by identifying key areas for enhancement. The main contributions of the research include a detailed overview of KPIs for RIMs and the development of a hybrid multi-criteria decision making (MCDM) model. The hybrid model represents a significant step in RIM performance analysis, providing a basis for future research in this area. The model is universal and, as such, represents a valuable contribution to MCDM theory.

Suggested Citation

  • Aida Kalem & Snežana Tadić & Mladen Krstić & Nermin Čabrić & Nedžad Branković, 2024. "Performance Evaluation of Railway Infrastructure Managers: A Novel Hybrid Fuzzy MCDM Model," Mathematics, MDPI, vol. 12(10), pages 1-31, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1590-:d:1397668
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/10/1590/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/10/1590/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ismail Iyigun, 2019. "Evaluation Of Efficiency Of Rail Transportation Of Black Sea Countries By Using An Integrated Mcdm Approach," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 13(1), pages 305-323.
    2. John Dodgson, 2011. "New, disaggregated, British railway total factor productivity growth estimates, 1875 to 1912," Economic History Review, Economic History Society, vol. 64(2), pages 621-643, May.
    3. Milovan Kovač & Snežana Tadić & Mladen Krstić & Miloš Veljović, 2023. "A Methodology for Planning City Logistics Concepts Based on City-Dry Port Micro-Consolidation Centres," Mathematics, MDPI, vol. 11(15), pages 1-21, July.
    4. Christian Growitsch & Heike Wetzel, 2009. "Testing for Economies of Scope in European Railways: An Efficiency Analysis," Journal of Transport Economics and Policy, University of Bath, vol. 43(1), pages 1-24, January.
    5. Marchetti, Dalmo & Wanke, Peter, 2017. "Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies," Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pages 26-42.
    6. Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
    7. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    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. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Nor, Khalil M.D. & Khoshnoudi, Masoumeh, 2016. "Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework," Energy, Elsevier, vol. 117(P1), pages 131-148.
    2. Niu, Yanliang & Li, Xin & Zhang, Jiangxue & Deng, Xiaopeng & Chang, Yuan, 2023. "Efficiency of railway transport: A comparative analysis for 16 countries," Transport Policy, Elsevier, vol. 141(C), pages 42-53.
    3. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    4. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos M.Taboada & Campos, Lucila M.S., 2016. "Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 182-197.
    5. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    6. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Stahre, Johan, 2017. "Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030," International Journal of Production Economics, Elsevier, vol. 191(C), pages 154-169.
    7. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    8. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    9. Zhang, Hong & Gu, Chao-lin & Gu, Lu-wen & Zhang, Yan, 2011. "The evaluation of tourism destination competitiveness by TOPSIS & information entropy – A case in the Yangtze River Delta of China," Tourism Management, Elsevier, vol. 32(2), pages 443-451.
    10. Volkan Hasan Kaya & Doris Elster, 2019. "A Critical Consideration of Environmental Literacy: Concepts, Contexts, and Competencies," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
    11. Gaurav Khatwani & Gopal Das, 2016. "Evaluating combination of individual pre-purchase internet information channels using hybrid fuzzy MCDM technique: demographics as moderators," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 28-49.
    12. Petreski Marjan & Petreski Blagica & Tumanoska Despina & Narazani Edlira & Kazazi Fatush & Ognjanov Galjina & Jankovic Irena & Mustafa Arben & Kochovska Tereza, 2017. "The Size and Effects of Emigration and Remittances in the Western Balkans. A Forecasting Based on a Delphi Process," Südosteuropa. Journal of Politics and Society, De Gruyter, vol. 65(4), pages 679-695, December.
    13. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.
    14. Aparicio, Gloria & Basco, Rodrigo & Iturralde, Txomin & Maseda, Amaia, 2017. "An exploratory study of firm goals in the context of family firms: An institutional logics perspective," Journal of Family Business Strategy, Elsevier, vol. 8(3), pages 157-169.
    15. Nibedita Mukherjee & Jean Huge & Farid Dahdouh-Guebas & Nico Koedam, 2014. "Ecosystem service valuations of mangrove ecosystems to inform decision making and future valuation exercises," ULB Institutional Repository 2013/217963, ULB -- Universite Libre de Bruxelles.
    16. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    17. Sheida Abdoli & Farah Habib & Mohammad Babazadeh, 2018. "Making spatial development scenario for south of Bushehr province, Iran, based on strategic foresight," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1293-1309, June.
    18. Shannon Li & Anne Honey & Francesca Coniglio & Peter Schaecken, 2022. "Mental Health Peer Worker Perspectives on Resources Developed from Lived Experience Research Findings: A Delphi Study," IJERPH, MDPI, vol. 19(7), pages 1-15, March.
    19. Ngoc Thach Pham & Anh Duc Do & Quang Vinh Nguyen & Van Loi Ta & Thi Thanh Binh Dao & Dieu Linh Ha & Xuan Truong Hoang, 2021. "Research on Knowledge Management Models at Universities Using Fuzzy Analytic Hierarchy Process (FAHP)," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    20. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.

    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:gam:jmathe:v:12:y:2024:i:10:p:1590-:d:1397668. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.