Preliminary Insights into Feeder Bus Usage: A Case Study of Asia Jaya LRT Station in the Klang Valley

Abstract

Addressing traffic congestion issues and promoting sustainable transportation in the Klang Valley is achievable by integrating feeder services with rail stations to extend connectivity beyond the existing rail coverage. This study examines the spatial patterns of feeder bus ridership in Petaling Jaya, which features one of the oldest LRT stations in the area. Two complementary feeder bus routes were analysed to visualise the current demand within urban transportation networks at each bus stop along the routes. Using big data, the feeder bus dataset from Asia Jaya LRT Station was obtained through smart card transactions that recorded passenger boarding and alighting. The research employed spatial analysis tools using Geographic Information Systems (GIS) and explored the temporal dimensions of feeder bus usage to provide insights into peak travel periods. Results revealed significant disparities in ridership among various geographic areas that could not be attributed to random chance. The study highlighted potential factors influencing ridership, including land use characteristics, accessibility to points of interest, and demographic considerations. These findings offer a foundation for further research in this domain. The study’s outcomes, encompassing ridership trends, provide valuable insights for urban planners and transport authorities to enhance feeder bus services, improve connectivity, and ultimately increase the efficiency of public transportation networks.