Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data

Document Type

Journal Article

Publication Date


Subject Area

mode - mass transit, place - asia, technology - ticketing systems


Smart card data, Daily variation of number of trip, Spatial-temporal trip pattern variation


Rebuilding the operation scheme of public transportation is a recent topic of discussion in Japan because the number of passengers is decreasing especially in rural areas. This research empirically analyzes variations in trip patterns to understand how passengers’ daily travel patterns vary temporally and spatially among one month using smart card data. The analysis reveals that the daily number of trips for the entire network does not vary significantly. However, it also reveals that daily frequent trip patters of individual passengers vary, i.e., most passengers are not traveling by a single trip pattern. This could be fundamental knowledge to discuss more detail or individual operation schemes.


Permission to publish the abstract has been given by Springer, copyright remains with them.