Factors of Aggressive Behavior Among Motorcycle Drivers and Its Relationship With Dangerous Driving Index in the State of Penang

Abstract

This study aims to identify the factors of aggressive behavior among motorcyclists in the state of Penang. Also identify the relationship between aggressive behavior factors and the dangerous driving index. This study is quantitative in nature by distributing questionnaires to 140 individuals who have been convicted under Section 42 (1) of the Road Transport Act 1987. Descriptive and inferential analysis methods are used to answer the research questions. Independent sample t-tests and one-way Anova were conducted to identify differences in the level of aggressive behavior among respondents based on demographic factors and conducted Pearson correlation analysis to identify the relationship between the two study variables. The findings of this study provide real figures related to the level of aggressive behavior from the perception of individuals who have ever made such mistakes. Independent sample t tests showed that there were behavioral differences based on gender factors. Meanwhile, one-way Anova test shows that there are differences based on employment factors and not education level. Correlation analysis showed that there was a relationship between aggressive behavior with a dangerous driving index with a value of r 0.349. Thus, this study helps in identifying the relationship between aggressive behavior and against the increase in the dangerous driving index among motorcyclists. All parties should mobilize their energy to reduce the dangerous driving index and pose a danger due to aggressive behavior factors on the road.

Modeling Motorcyclists’ Aggressive Driving Behavior Using Computational and Statistical Analysis of Real-Time Driving Data to Improve Road Safety and Reduce Accidents

“…Accelerometers [21][22][23], on-board diagnostics (OBD) [24], GPS sensing [25,26], gyroscopes [24,25], and ProLaser-III with motorcycles [27] have all been used in research studies related to road accidents. Despite the many disadvantages of the devices, they at least offer a complete record regarding day-to-day driving [11]. Even though the quantity of real-time driving studies (as research using this technology is identified) is restricted because of the resources and expenses required, they are becoming more frequent [28].…”

“…Normal driving behavior, also called "typical" or "safe" driving, refers to a driver's behavior when the driver avoids unsafe activities and reactions [11]. Normal driving style is defined as driving with no dangerous behaviors and without the qualities listed in aggressive driving, careless driving, alcoholic driving, and drowsy driving [34].…”

“…Step 2:Define the normal deceleration threshold with Equation ( 10), then from Equation (1), which has been formulated in Equation (11).…”

“…normal deceleration m/s 2 ≤ average deceleration + Standard deviation (11) where average deceleration = mean.…”

“…In addition, aggressive driving is considered the driver's behavior categorization or pattern that includes normal speeding and inconsistent or excessive acceleration and deceleration, which is a significant cause in more than 90% of road crashes. For gaining a better knowledge of driving behavior, researchers explored a variety of methodologies [11]. However, as previous research has shown, techniques based on self-reported behavior, demographic profiles [12], and personal risk perceptions tend to presume that behavior in groups is homogeneous.…”