References

• 2013Mining smart card data for transit riders’ travel patterns606 cited
• 2014Passenger Segmentation Using Smart Card Data195 cited
• 2018Tracking job and housing dynamics with smartcard data193 cited
• 2018Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations99 cited
• 2020Inferring temporal motifs for travel pattern analysis using large scale smart card data69 cited
• 2018Understanding public transit patterns with open geodemographics to facilitate public transport planning62 cited
• 2020Flexible Route Optimization for Demand-Responsive Public Transit Service55 cited
• 2020Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon54 cited
• 2019Analyzing Transit User Behavior with 51 Weeks of Smart Card Data48 cited
• 2016Ridership patterns at subway stations of Seoul capital area and characteristics of station influence area42 cited
• 2013Classification of London's public transport users using smart card data40 cited
• 2019Irregular Travel Groups Detection Based on Cascade Clustering in Urban Subway28 cited
• 2020Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data26 cited
• 2017Estimating the residence zone of frequent public transport users to make travel pattern and time use analysis