Exploring Transit Use Regularity Using Smart Card Data of Students

Abstract

With the popularity of Automated Fare Collection (AFC), transit operators and planners can make use of AFC data to have a better understanding of travelers behaviors, such not only provide meaningful guidance on public transport planning, but also for transit operators provide better services put forward a clear direction. In this paper, the main use of Chengdu on November 2nd to 8th one smart card. Using data mining technology to analysis the spatial and temporal regularity of students. Travel regularity analysis mainly include frequency of use, time of boarding, boarding intensity. This research shows that in a period of time, frequency of use, time of boarding and boarding intensity of student card presents regularity.

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