payment vs. reference compared to 3,379,570 transactions (5% data set): 49.8% of transactions should fall into this category.
data vs. behaviour & perception+ estimating travel time > estimating travel needs+ users inaccurately estimate payments+ high usage of modalities that are “never used”+ high proportion of travel to “non typical” stations
the oyster cardbeyond payment?a sensor for science?future ubicomp applications?
mobility vs. student discounts“... as a student with a flexibletimetable, it isnt always obviouswhether a travel card is a better dealthan pay as you go...”
mobility vs. daily capping91,391,155 pay as you go tripssplit into capped vs. non-capped (free) (non-free)
mobility vs. daily cappingnot-free: 54.83% trips by busfree: 73.53% trips by bus
the oyster carda tool to evaluate policy?a sensor to test incentives?
N. Lathia, J. Froehlich, L. Capra. Mining Public TransportUsage for Personalised Intelligent Transport Systems. InIEEE ICDM 2010, Sydney, Australia, December 2010.N. Lathia, L. Capra. Mining Mobility Data to MinimiseTravellers Spending on Public Transport. In ACM KDD 2011,San Diego, USA, August 2011.
how smart is your smart card?measuring travel behaviours, perceptions, and incentives @neal_lathia dept. of computer science university college london ubicomp 2011