CYCLIST SAFETY: IDENTIFYING HIGH-RISK GROUPS THROUGH DATA ANALYSIS

Cycling has gained global popularity due to its health, environmental, and cost benefits; however, cyclist safety remains a significant concern. Understanding the factors contributing to risky cycling behaviours in Malaysia is therefore crucial for developing effective safety interventions. This study aimed to identify high-risk cyclist groups in Kuala Terengganu and Dungun, Terengganu, Malaysia, focusing on helmet non-use, reflective clothing non-use, and riding two abreast. A total of 2,205 cyclists were observed at eight locations over six days, revealing significant associations between behaviours and explanatory variables such as age, time of day, day of the week, speed, and road type, using a binary logistic regression model. Helmet non-use increased at speeds above 10 km/h, was less common among children and adolescents, and was less likely to occur during morning peak hours and on municipal roads. Non-use of reflective clothing increased during evening peak hours, was less common at speeds between 10 and 20 km/h and decreased on state roads. Riding two abreast was more common on weekdays and on state roads but less likely at speeds over 20 km/h and on municipal roads. The findings of this study may support the development of targeted interventions, including cyclist awareness programmes for specific groups, policy enforcement, promotion of safety gear, and other safety initiatives essential for improving cyclist safety.