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<p>Due to the rising rates of injury, morbidity, and fatalities in motorcycle crashes, drivers in Bangladesh are now very concerned about their safety. On the other hand, empirical&#xa0;data regarding the severity of motorcycle crashes is lacking. This study aims to investigate the relationship between the motor cycle crash risk and unsafe riding behavior in Dhaka city. A structural equation model (SEM) has been developed with 318 normally distributed data to identify the motor cycle crash risk and unsafe riding behavior. The developed SE model is further validated by evaluating the responses by means of relative importance index (RII) approach. From the study, “Behavioral impact” latent variable has the most influence on motor cycle crashes. Under the “Behavioral impact” latent variable, “Aggressive riding”, “Violating traffic rules”, and “Breaking traffic rules” have the most significance impact on motor cycle crash risk and unsafe riding behavior. These findings can help the policy makers and stakeholders to minimize the motor cycle crashes and ensure roadway safety in Dhaka city.</p>

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Perceived Risk Factors Influencing Motorcycle Riding Behavior and Safety in Dhaka: A Structural Equation Modeling Approach

  • 期刊论文

  • 发表日期：

    2026年5月12日

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  • Md. Mohaimenul Islam Sourav,
  • Muhammad Saifur Rahman,
  • Md. Shaharul Islam,
  • Mohammed Russedul Islam,
  • Md. Hazrat Ali

摘要

Due to the rising rates of injury, morbidity, and fatalities in motorcycle crashes, drivers in Bangladesh are now very concerned about their safety. On the other hand, empirical data regarding the severity of motorcycle crashes is lacking. This study aims to investigate the relationship between the motor cycle crash risk and unsafe riding behavior in Dhaka city. A structural equation model (SEM) has been developed with 318 normally distributed data to identify the motor cycle crash risk and unsafe riding behavior. The developed SE model is further validated by evaluating the responses by means of relative importance index (RII) approach. From the study, “Behavioral impact” latent variable has the most influence on motor cycle crashes. Under the “Behavioral impact” latent variable, “Aggressive riding”, “Violating traffic rules”, and “Breaking traffic rules” have the most significance impact on motor cycle crash risk and unsafe riding behavior. These findings can help the policy makers and stakeholders to minimize the motor cycle crashes and ensure roadway safety in Dhaka city.