Kabir, Nur Asyikin (2021) Analysis Of Motorcyclists’ Risky Behavior While Performing Safety Training With Safety Riding Training (Srt) Simulation. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Awam. (Submitted)
|
PDF
Download (686kB) | Preview |
Abstract
Motorcycles are transportation that is often involved in road accidents. Risky behavior was identified as one of the main causes of such accidents. This study aimed to understand the training used in Safety Riding Training (SRT) simulation and how safety riding training simulation affecting the motorcyclists’ behavior as well as increasing the risk perception by focusing on the following objectives which are to determine the parameter in the safety riding training simulation, to investigate the motorcyclists’ risky behavior based on the emerging events in the safety riding training simulation and to analyze the relationship between the motorcyclists’ risky behavior and the events in the safety riding training simulation. There were total of 90 respondents in this study. This project used statistical data analysis. In safety riding training simulation, the parameter used to evaluate the respondents is the events. As a result, Course 1 is categorized as the simplest course, while Course 6 is categorized as the most difficult course due to the types of intervention and difficulties in the events. Meanwhile, this finding demonstrates that the existence of events can influence the presence of risky behavior. As a consequence, the relationship between risky behavior and events is inversely propositional. Therefore, when the value of risky behaviors decrease, the total score of events will increase. In conclusion, safety riding training simulation is useful for motorcyclists. This is because it can be used as guidance for them to be more alert and careful to dangerous situations that occur on the road so that risky behavior can be avoided and road accidents can be reduced. Through this approach as well, risk perception among motorcyclists can be improved.
Actions (login required)
 |
View Item |
