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Public Transport Commuting Analytics: A Longitudinal Study Based on GPS Tracking and Unsupervised Learning

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References

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2013Future Mobility Survey227 cited
2016Inferring patterns in the multi-week activity sequences of public transport users197 cited
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2009Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City122 cited
2016Understanding individual routing behaviour116 cited
2008Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil106 cited

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2021The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area103 cited

2013Passengers’ Perception of and Behavioral Adaptation to Unreliability in Public Transportation103 cited

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2023Extracting Spatiotemporal Bus Passenger Trip Typologies from Noisy Mobile Ticketing Boarding Data5 cited
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2025Overcoming Data Scarcity in Transit Planning: A Novel Framework Combining Machine Learning and Metaheuristics4 cited
2026Do nearby activities result in short trips? Examining the relationship between spatial accessibility and travel behaviour in 15-minute neighbourhoods3 cited