References

• 2013Mining smart card data for transit riders’ travel patterns606 cited
• 2007Measuring transit use variability with smart-card data271 cited
• 2016Clustering Smart Card Data for Urban Mobility Analysis214 cited
• 2017Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data191 cited
• 2017Analyzing year-to-year changes in public transport passenger behaviour using smart card data182 cited
• 2016Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data179 cited
• 2016Early birds, night owls, and tireless/recurring itinerants: An exploratory analysis of extreme transit behaviors in Beijing, China63 cited
• 2021Public transport fare elasticities from smartcard data: Evidence from a natural experiment62 cited
• 2019Clustering Analysis of Ridership Patterns at Subway Stations: A Case in Nanjing, China56 cited
• 2020Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon54 cited
• 2020Profiling tourists' use of public transport through smart travel card data52 cited
• 2018A high-precision heuristic model to detect home and work locations from smart card data48 cited
• 2019Analyzing Transit User Behavior with 51 Weeks of Smart Card Data48 cited
• 2016A mixture model clustering approach for temporal passenger pattern characterization in public transport