Trip purpose inference using automated fare collection data
mode - subway/metro, place - north america, place - urban, technology - ticketing systems, technology - passenger information, ridership - behaviour
smart cards, automated fare collection (AFC) data, trip purpose inference
In this paper, we exploit the extensive smart card transaction data for deriving useful information about transit passenger behavior, namely trip purpose or activity. We show how the automated fare collection data (e.g., smart card) can be used to infer trip purpose and to reveal travel patterns in an urban area. A case study demonstrates the process of trip purpose inference based on smart card data from Metro Transit in the Minneapolis/St. Paul metropolitan area.
Permission to publish the abstract has been given by SpringerLink, copyright remains with them.
Lee, S.G. & Hickman, M. (2014). Trip purpose inference using automated fare collection data. Public Transport, Vol. 6, No. 1-2, pp. 1-20.