How smart is your smartcard?: measuring travel behaviours, perceptions, and incentives

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A Critical Review of New Mobility Services for Urban Transport (2016, methodology): “Lathia and Capra (2011) analyzed travel trends and travellers’ behavior using London Oyster card data.”
Avoiding the crowds: understanding Tube station congestion patterns from trip data (2012, background): “However, this has had no observable effect on travellers’ journeys [9], with the tube reaching its peak load at around 8:15AM every weekday.”
Does crowding affect the path choice of metro passengers (2015, background): “As pointed by Lathia and Capra (2011) there can be a significant gap between the real and surveyed travel behavior of metro passengers.”
Geospatial Area Embedding Based on the Movement Purpose Hypothesis Using Large-Scale Mobility Data from Smart Card (2016, methodology): “In particular, mobility data from the AFC systems are currently used for several purposes such as visualization [16], disaster prevention [17], and service management [18].”