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An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

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Listed:
  • Sarbast Moslem

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics Stoczek u. 2, H-1111 Budapest, Hungary)

  • Muhammet Gul

    (Department of Industrial Engineering, Munzur University, 62000 Tunceli, Turkey)

  • Danish Farooq

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics Stoczek u. 2, H-1111 Budapest, Hungary)

  • Erkan Celik

    (Department of Industrial Engineering, Munzur University, 62000 Tunceli, Turkey)

  • Omid Ghorbanzadeh

    (Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria)

  • Thomas Blaschke

    (Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria)

Abstract

Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This study aims to evaluate and prioritize the significant driver behavior factors related to road safety. In this regard, we integrated a decision-making model of the Best-Worst Method (BWM) with the triangular fuzzy sets as a solution for optimizing our complex decision-making problem, which is associated with uncertainty and ambiguity. Driving characteristics are different in different driving situations which indicate the ambiguous and complex attitude of individuals, and decision-makers (DMs) need to improve the reliability of the decision. Since the crisp values of factors may be inadequate to model the real-world problem considering the vagueness and the ambiguity, and providing the pairwise comparisons with the requirement of less compared data, the BWM integrated with triangular fuzzy sets is used in the study to evaluate risky driver behavior factors for a designed three-level hierarchical structure. The model results provide the most significant driver behavior factors that influence road safety for each level based on evaluator responses on the Driver Behavior Questionnaire (DBQ). Moreover, the model generates a more consistent decision process by the new consistency ratio of F-BWM. An adaptable application process from the model is also generated for future attempts.

Suggested Citation

  • Sarbast Moslem & Muhammet Gul & Danish Farooq & Erkan Celik & Omid Ghorbanzadeh & Thomas Blaschke, 2020. "An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety," Mathematics, MDPI, vol. 8(3), pages 1-20, March.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:3:p:414-:d:332268
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    References listed on IDEAS

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    2. Hannan Amoozad Mahdiraji & Sepas Arzaghi & Gintaras Stauskis & Edmundas Kazimieras Zavadskas, 2018. "A Hybrid Fuzzy BWM-COPRAS Method for Analyzing Key Factors of Sustainable Architecture," Sustainability, MDPI, vol. 10(5), pages 1-26, May.
    3. Sarbast Moslem & Omid Ghorbanzadeh & Thomas Blaschke & Szabolcs Duleba, 2019. "Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
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    Cited by:

    1. Burak Can Altay & Abdullah Erdem Boztas & Abdullah Okumuş & Muhammet Gul & Erkan Çelik, 2023. "How Will Autonomous Vehicles Decide in Case of an Accident? An Interval Type-2 Fuzzy Best–Worst Method for Weighting the Criteria from Moral Values Point of View," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    2. Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    3. Huacai Xian & Yu Wang & Yujia Hou & Shunzhong Dong & Junying Kou & Huili Zeng, 2022. "Research on Influencing Factors of Urban Road Traffic Casualties through Support Vector Machine," Sustainability, MDPI, vol. 14(23), pages 1-15, December.
    4. Danish Farooq & Sarbast Moslem, 2022. "Estimating Driver Behavior Measures Related to Traffic Safety by Investigating 2-Dimensional Uncertain Linguistic Data—A Pythagorean Fuzzy Analytic Hierarchy Process Approach," Sustainability, MDPI, vol. 14(3), pages 1-21, February.
    5. Jinshan Ma & Zhiqi Yuan & Guanghua Zheng & Fushan Lang, 2022. "Combination Generalized Grey Target Decision Method for Mixed Attributes Based on Zero-Sum Game Theory," Group Decision and Negotiation, Springer, vol. 31(6), pages 1121-1143, December.
    6. Hamid Reza Fazeli & Qingjin Peng, 2023. "Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1003-1020, March.
    7. Dávid Baranyai & Tibor Sipos, 2022. "Black-Spot Analysis in Hungary Based on Kernel Density Estimation," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    8. Rajak, Sonu & Mathiyazhagan, K. & Agarwal, Vernika & Sivakumar, K. & Kumar, Vikas & Appolloni, Andrea, 2022. "Issues and analysis of critical success factors for the sustainable initiatives in the supply chain during COVID- 19 pandemic outbreak in India: A case study," Research in Transportation Economics, Elsevier, vol. 93(C).

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