Presentation Information
[E2-03]Classifying Bicycle Sharing Service Stations in Tokyo by Temporal Patterns
*M SANAULLAH KHAN1, Fumiko ITO1 (1. Tokyo Metropolitan University)
Keywords:
Bicycle Sharing Service,Micromobility Services,Clustering Analysis,Spatial Analysis
This research examines the spatial and temporal usage patterns of Bicycle Sharing Services, including Docomo Bike Share and Hello Cycling, in Tokyo using high-resolution station-level data collected over one week at 15-minute intervals. The study employed Principal Component Analysis and identified four dominant temporal patterns, such as commuting peaks on weekdays and leisure flows on weekends. Three distinct clusters were identified using PCA scores for each BSS station: (i) central city residential–industrial commuter origins, (ii) downtown commercial and transit-oriented destinations, and (iii) peripheral residential and suburban local-use stations. The study found a significant association between cluster membership, land use districts, and proximity to a train station using cross-tabulation and the Chi-square test. The spatial distribution of BSS station with cluster membership was examined by mapping. This research, by linking BSS temporal demand characteristics with urban fabric, provides new insights into the integration of BSS within multimodal transport planning.