Abstract
Online transportation has widely spread across the globe in the past three years. It provokes changes in transportation management. Driver’s quality improvement is crucial to prevent problems related to accidents and driver-passenger relationships. This paper employs regression analysis to identify the effect of driving attitude, self-awareness, and social self-supervision on aberrant driving behavior in online taxi drivers in Indonesia. One hundred Grab and Go-Jek drivers are selected from the DKI Jakarta area. Data are collected via questionnaires. Data analysis, as well as statistical calculation, reveals the negative effects of social self-supervision on aberrant driving behavior.
Highlights
Aberrant driving behavior is driving with attention and memory failures, errors, and violations (Huang, Lin, & Wang, 2018)
The results show that participants have a minimum aberrant driving behavior and self-unawareness
The computation of bivariate correlation tests the correlation between aberrant driving behavior and other variables
Summary
Aberrant driving behavior is driving with attention and memory failures, errors, and violations (Huang, Lin, & Wang, 2018). It manifests in various things, such as failure in keeping road users’ safety, ineffective and inefficient driving, and traffic violations (Reason, Manstead, Stradling, Baxter, & Campbell, 1990). Violations and attention failures risk the drivers to have severe accidents, while errors lead them to minor ones (Parker, Reason, Manstead, & Stradling, 1995). Awareness is one of the mental processes (Kaukab, Adawiyah, Setyanto, & Suroso, 2020) It is different from others, such as cognition, motive, and emotion. A study has shown that those driving in high alertness have less deviant behavior and are less likely involved in accidents as well as traffic violations (Koppel et al, 2018). Drivers whose focuses are not on the present time (for example, they think about the past or imagining of the future) are prone to aberrant driving behavior (Yuchen Wang, Qu, Ge, Sun, & Zhang, 2018)
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