The World Health Organization reports that around 1.3 million people die each year from road traffic crashes, predominantly affecting young adults and teenagers known for riskier driving behaviors. This study employs machine learning to analyze risky driving behaviours in Auckland, New Zealand. Utilizing Compass IoT Data, it aims to identify key factors like road geometry and community influence on risky driving, through data analysis, categorization of bike lanes and clustering of suburbs.