Abstract
The demand for understanding the functional relationship between changes in traffic safety level and human-related factors has increased remarkably due to a steady increase in population and traffic volume. Motor vehicle crashes can cause a serious impact on the victims, families, and the community resulting in instability of family and large socio-economic costs to society and healthcare service. Statistical studies of drivers’ behavior as a function of some of the human characteristics, in particular, have become increasingly important for establishing an evidence-based framework through which transportation and healthcare authorities can develop innovative solutions to mitigate serious consequences of risky driving. This paper uses a real-world dataset to analyze the relationship between the human characteristics and both the behavior and risk-level. In addition to that, this paper conducts several analytical studies to investigate the extent to which the risky driving behavior may affect the severity of the crash and human injury.
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Ghadban, N.R., Abdella, G.M., Al-Khalifa, K.N., Hamouda, A.M., Abdur-Rouf, K.B. (2018). A Real Case-Based Study Exploring Influence of Human Age and Gender on Drivers’ Behavior and Traffic Safety. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_77
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DOI: https://doi.org/10.1007/978-3-319-60441-1_77
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