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Decision Support in Selecting a Reliable Strategy for Sustainable Urban Transport Based on Laplacian Energy of T -Spherical Fuzzy Graphs

Author

Listed:
  • Preeti Devi

    (Department of Mathematics, BBN College, Hamirpur 176039, Himachal Pradesh, India)

  • Bartłomiej Kizielewicz

    (Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland)

  • Abhishek Guleria

    (Department of Physical Sciences & Languages, College of Basic Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya (CSKHPKV), Palampur 176062, Himachal Pradesh, India)

  • Andrii Shekhovtsov

    (Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland)

  • Jarosław Wątróbski

    (Institute of Management, University of Szczecin, Cukrowa 8, 71-004 Szczecin, Poland)

  • Tomasz Królikowski

    (Faculty of Mechanical Engineering, Koszalin University of Technology, Śniadeckich 2, 75-453 Koszalin, Poland)

  • Jakub Więckowski

    (Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland)

  • Wojciech Sałabun

    (Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland
    National Institute of Telecommunications, Szachowa 1, 04-894 Warsaw, Poland)

Abstract

Sustainable transportation has a significant impact on factors related to urban development and economic development. Therefore, much research is being undertaken to select the best strategies to manage sustainable transportation. Transportation requires a carefully designed method to manage the development of mobility modes in terms of the pollution they produce or the use of renewable energy sources. However, due to numerous preferences of decision-makers and data uncertainty problems, it is challenging to select the optimal strategy. In this paper, we focus on creating a framework for determining the best strategy for sustainable transportation management. For this purpose, T -spherical fuzzy graphs will be used, which, together with the combination of Laplacian Energy, can accurately represent decision-makers’ preferences in an uncertain environment. Due to the lack of limitations of T -spherical fuzzy graphs and its numerous membership functions, decision-makers can decide which factor seems most important for selecting the optimal sustainable transportation strategy. Additionally, due to the applicability, the SFS TOPSIS approach has been used in this approach. The obtained results demonstrate the high performance of the proposed approach and the applicability of the approach in management and sustainable transport problems.

Suggested Citation

  • Preeti Devi & Bartłomiej Kizielewicz & Abhishek Guleria & Andrii Shekhovtsov & Jarosław Wątróbski & Tomasz Królikowski & Jakub Więckowski & Wojciech Sałabun, 2022. "Decision Support in Selecting a Reliable Strategy for Sustainable Urban Transport Based on Laplacian Energy of T -Spherical Fuzzy Graphs," Energies, MDPI, vol. 15(14), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:4970-:d:857591
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    References listed on IDEAS

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    1. Kębłowski, Wojciech & Dobruszkes, Frédéric & Boussauw, Kobe, 2022. "Moving past sustainable transport studies: Towards a critical perspective on urban transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 74-83.
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    5. Demostenis Ramos Cassiano & Bruno Vieira Bertoncini & Leise Kelli de Oliveira, 2021. "A Conceptual Model Based on the Activity System and Transportation System for Sustainable Urban Freight Transport," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    6. Wojciech Keblowski & Frédéric Dobruszkes & Kobe Boussauw, 2022. "Moving past sustainable transport studies: Towards a critical perspective on urban transport," ULB Institutional Repository 2013/341191, ULB -- Universite Libre de Bruxelles.
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    1. Aytekin, Ahmet & Korucuk, Selçuk & Görçün, Ömer Faruk, 2024. "Determining the factors affecting transportation demand management and selecting the best strategy: A case study," Transport Policy, Elsevier, vol. 146(C), pages 150-166.
    2. Saeid Jafarzadeh Ghoushchi & Mohd Nizam Ab Rahman & Moein Soltanzadeh & Muhammad Zeeshan Rafique & Hernadewita & Fatemeh Yadegar Marangalo & Ahmad Rasdan Ismail, 2023. "Assessing Sustainable Passenger Transportation Systems to Address Climate Change Based on MCDM Methods in an Uncertain Environment," Sustainability, MDPI, vol. 15(4), pages 1-22, February.

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