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Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures

Author

Listed:
  • Danish Farooq

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Sarbast Moslem

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Rana Faisal Tufail

    (Department of Civil Engineering, Comsats University Islamabad, Wah Cantt 47040, Pakistan)

  • Omid Ghorbanzadeh

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

  • Szabolcs Duleba

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Ahsen Maqsoom

    (Department of Civil Engineering, Comsats University Islamabad, Wah Cantt 47040, Pakistan)

  • Thomas Blaschke

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

Abstract

Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different traffic cultures such as Hungary, Turkey, Pakistan and China. The study utilized the FAHP framework to compare and quantify the driver behavior criteria designed on a three-level hierarchical structure. The FAHP procedure computed the weight factors and ranked the significant driver behavior criteria based on pairwise comparisons (PCs) of driver’s responses on the Driver Behavior Questionnaire (DBQ). The study results observed “violations” as the most significant driver behavior criteria for level 1 by all nominated regions except Hungary. While for level 2, “aggressive violations” is observed as the most significant driver behavior criteria by all regions except Turkey. Moreover, for level 3, Hungary and Turkey drivers evaluated the “drive with alcohol use” as the most significant driver behavior criteria. While Pakistan and China drivers evaluated the “fail to yield pedestrian” as the most significant driver behavior criteria. Finally, Kendall’s agreement test was performed to measure the agreement degree between observed groups for each level in a hierarchical structure. The methodology applied can be easily transferable to other study areas and our results in this study can be helpful for the drivers of each region to focus on highlighted significant driver behavior criteria to reduce fatal and seriously injured traffic accidents.

Suggested Citation

  • Danish Farooq & Sarbast Moslem & Rana Faisal Tufail & Omid Ghorbanzadeh & Szabolcs Duleba & Ahsen Maqsoom & Thomas Blaschke, 2020. "Analyzing the Importance of Driver Behavior Criteria Related to Road Safety for Different Driving Cultures," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:1893-:d:332536
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    References listed on IDEAS

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    1. Danish Farooq & Sarbast Moslem & Szabolcs Duleba, 2019. "Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
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    Cited by:

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    2. Waseem Alam & Haiyan Wang & Amjad Pervez & Muhammad Safdar & Arshad Jamal & Meshal Almoshaogeh & Hassan M. Al-Ahmadi, 2024. "Analysis and Prediction of Risky Driving Behaviors Using Fuzzy Analytical Hierarchy Process and Machine Learning Techniques," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    3. Sadia Samar Ali & Belkız Torğul & Turan Paksoy & Sunil Luthra & Yasanur Kayikci, 2024. "A novel hybrid decision‐making framework for measuring Industry 4.0‐driven circular economy performance for textile industry," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 7825-7854, December.
    4. Shanchuan Yu & Yu Chen & Lang Song & Zhaoze Xuan & Yi Li, 2023. "Modelling and Mitigating Secondary Crash Risk for Serial Tunnels on Freeway via Lighting-Related Microscopic Traffic Model with Inter-Lane Dependency," IJERPH, MDPI, vol. 20(4), pages 1-29, February.
    5. Muhammad Zahid & Yangzhou Chen & Sikandar Khan & Arshad Jamal & Muhammad Ijaz & Tufail Ahmed, 2020. "Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter?," IJERPH, MDPI, vol. 17(11), pages 1-21, June.
    6. Faris Tarlochan & Mohamed Izham Mohamed Ibrahim & Batool Gaben, 2022. "Understanding Traffic Accidents among Young Drivers in Qatar," IJERPH, MDPI, vol. 19(1), pages 1-13, January.
    7. Bong Gu Kang & Byeong Soo Kim, 2023. "A Study on Cognitive Error Validation for LED In-Ground Traffic Lights Using a Digital Twin and Virtual Environment," Mathematics, MDPI, vol. 11(17), pages 1-16, September.

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