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A mixture model clustering approach for temporal passenger pattern characterization in public transport

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References

2013Mining smart card data for transit riders’ travel patterns606 cited
2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
2008Enriching Archived Smart Card Transaction Data for Transit Demand Modeling150 cited
2006Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning129 cited
2004What role for smart-card data from bus systems?88 cited
2006Analysing the Variability of Transit Users Behaviour with Smart Card Data86 cited
2012The Hidden Image of the City: Sensing Community Well-Being from Urban Mobility84 cited
2011How smart is your smartcard?74 cited
2012Individuals among commuters: Building personalised transport information services from fare collection systems73 cited
2012Are transit users loyal? Revelations from a hazard model based on smart card data50 cited

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2022Unravelling individual mobility temporal patterns using longitudinal smart card data28 cited
2020Identifying and Segmenting Commuting Behavior Patterns Based on Smart Card Data and Travel Survey Data

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2021Extracting spatiotemporal commuting patterns from public transit data22 cited

2021What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition17 cited

2022Travel pattern-based bus trip origin-destination estimation using smart card data17 cited

2022Spatiotemporal Evolution of Travel Pattern Using Smart Card Data13 cited

2023Modeling non-compensatory strategies on path choices in a complex urban rail transit network considering characteristics of transfer passengers and trips11 cited

2024Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation11 cited

2025Understanding bus delay patterns under different temporal and weather conditions: A Bayesian Gaussian mixture model11 cited

2018Using Mobile Phone Data to Observe and Understand Mobility Behavior, Territories, and Transport Usage8 cited

2022Interactive visual analytics of moving passenger flocks using massive smart card data8 cited