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Understanding temporal and spatial travel patterns of individual passengers by mining smart card data

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References

2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System391 cited
2007Measuring transit use variability with smart-card data283 cited
2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA213 cited
2010Estimation method for railway passengers’ train choice behavior with smart card transaction data150 cited
2012Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system127 cited
2009Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen106 cited
2004What role for smart-card data from bus systems?88 cited
2006Analysing the Variability of Transit Users Behaviour with Smart Card Data86 cited
2012Estimation of behavioural change of railway passengers using smart card data39 cited

Cited by

2019A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data31 cited
2020Exploring Travel Patterns during the Holiday Season—A Case Study of Shenzhen Metro System During the Chinese Spring Festival24 cited
2017Exploiting smartcard data to estimate distributions of passengers’ walking speed and distances along an urban rail transit line20 cited
2021MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems

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19 cited

2017MetroTime: Travel Time Decomposition under Stochastic Time Table for Metro Networks11 cited

2016Extracting potential bus lines of Customized City Bus Service based on public transport big data10 cited

2016Smart card in public transportation: Designing a analysis system at the human scale8 cited

2023Extracting Spatiotemporal Bus Passenger Trip Typologies from Noisy Mobile Ticketing Boarding Data5 cited

2016Representation learning for geospatial areas using large-scale mobility data from smart card5 cited

2017PeopleVis: A visual analysis system for mining travel behavior5 cited

2016An effective simulation model for multi-line metro systems based on origin-destination data2 cited