Abstract
Rebuilding the operation scheme of public transportation is a recent topic of discussion in Japan becausethe number of passengers is decreasing especially in rural areas. However, the discussion dependingon the knowledge from transport data such as tendency of boarding and alighting volume, its dailyvariation and so on is only a few cases especially in rural areas of Japan. On the other hand, recently, usage of smart cards for public transport purchases is growing even in the rural area. That means the data of public transport passengers are continually collected, and it can be fundamental information to discuss about public transport marketing strategies. 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 measured in Kochi City. Spatial and Temporal Trip Pattern Dependency what is ratio between appearance of combination of most frequent usage hour and bus/tram stops and total tripped days is defined for all passengers from collected smart card data. The relationship between spatial and temporal trip pattern dependency showed that most of passengers doesn't have specific trip pattern, but children card holders tends to trip same hour and route. Especially elderly passengers tend to do not have any specific trip pattern. They are travelling by different hours and route when they use public transport. Using Spatial and Temporal Trip Pattern Dependency and other users' attribution information prepared from smart card data, groups of the passengers are generated by cluster analysis. The results shows fundamental information focusing on groups of public transport passengers to discuss about public transport marketing scheme, and also this could be fundamental knowledge to discuss more dynamic and individual operation schemes.
