2022 Rapid KL Bus Accident Analysis and Insights for Improved Safety and Operational Efficiency
DOI:
https://doi.org/10.11113/oiji2024.12n2.313Keywords:
Public Transportation, Data Visualization, Visual Analytics, Rapid KL, TableauAbstract
Rapid KL operates one of Malaysia's most extensive public transportation networks, facing challenges in ensuring passenger safety and minimizing operational disruptions. In 2022, multiple bus accidents resulted in injuries, fatalities, and significant financial losses. This study analyzes accident data from that year to identify high-risk routes, assess contributing factors like road conditions and driver behavior, and evaluate financial impacts. Using Tableau for visual analytics, this research uncovers critical patterns, providing actionable recommendations such as targeted driver training and route-specific interventions to enhance safety measures, optimize route management, and improve operational efficiency.