An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety
Sarbast Moslem,
Muhammet Gul,
Danish Farooq,
Erkan Celik,
Omid Ghorbanzadeh and
Thomas Blaschke
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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
Mathematics, 2020, vol. 8, issue 3, 1-20
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.
Keywords: fuzzy best worst method; driver behavior factors; road safety; DBQ; Budapest city (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:8:y:2020:i:3:p:414-:d:332268
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