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<p>This study investigated self-reported driving patterns in the Indian context by employing the Driver Behavior Questionnaire (DBQ) to identify the primary determinants of unsafe driving practices. The analysis concentrated on five latent variables: Socio-demographic Variables, Distraction While Driving, Errors While Driving, Violation of Traffic Rules, and Aberrant Driving Behavior, represented by 40 indicators. A structured online questionnaire was disseminated across India, resulting in 604 responses. After removing missing data and outliers using Mahalanobis D-square, 583 valid samples were retained for modeling. Confirmatory Factor Analysis (CFA) was performed to validate the measurement model, followed by Structural Equation Modeling (SEM) to test the proposed hypotheses. The findings indicated that socio-demographic characteristics, distractions, errors, and violations significantly and positively influenced aberrant driving behavior, underscoring their critical role in shaping risky driving patterns among Indian drivers. To support and contextualize the self-reported data, field investigations were conducted using videography to capture the real-world driving behavior of two-wheeler and car users under mixed traffic conditions. The integration of observational and self-reported data enhanced the interpretation of DBQ responses. This study provides significant insights into the behavioral factors affecting road safety and offers practical recommendations for improving driving behavior and informing evidence-based policymaking in India.</p>

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Analysis of Self-reported Driving Behavior Pattern in the Indian Context

  • 期刊论文

  • 发表日期：

    2026年7月6日

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  • Rahul R. Kshatriya,
  • Rajakumar Kuppammasatram,
  • Yogeshwar V. Navandar,
  • K. Krishnamurthy

摘要

This study investigated self-reported driving patterns in the Indian context by employing the Driver Behavior Questionnaire (DBQ) to identify the primary determinants of unsafe driving practices. The analysis concentrated on five latent variables: Socio-demographic Variables, Distraction While Driving, Errors While Driving, Violation of Traffic Rules, and Aberrant Driving Behavior, represented by 40 indicators. A structured online questionnaire was disseminated across India, resulting in 604 responses. After removing missing data and outliers using Mahalanobis D-square, 583 valid samples were retained for modeling. Confirmatory Factor Analysis (CFA) was performed to validate the measurement model, followed by Structural Equation Modeling (SEM) to test the proposed hypotheses. The findings indicated that socio-demographic characteristics, distractions, errors, and violations significantly and positively influenced aberrant driving behavior, underscoring their critical role in shaping risky driving patterns among Indian drivers. To support and contextualize the self-reported data, field investigations were conducted using videography to capture the real-world driving behavior of two-wheeler and car users under mixed traffic conditions. The integration of observational and self-reported data enhanced the interpretation of DBQ responses. This study provides significant insights into the behavioral factors affecting road safety and offers practical recommendations for improving driving behavior and informing evidence-based policymaking in India.