Abstract 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.
Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data
2012-08-21
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Smart card data , Daily variation of number of trip , Spatial-temporal trip pattern variation Engineering , Electrical Engineering , Automotive Engineering , Robotics and Automation , Computer Imaging, Vision, Pattern Recognition and Graphics , Civil Engineering , User Interfaces and Human Computer Interaction
Spatial-Temporal Similarity Correlation between Public Transit Passengers Using Smart Card Data
DOAJ | 2017
|Transportation Research Record | 2022
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