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Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach
16 references·12 citing·40 second hop
Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach (2021)Individual Mobility Prediction in Mass Tr…Individual mobility prediction using transit smart card data (2018)Individual mobility predictio…DeepMove (2018)DeepMoveMeasuring Regularity of Individual Travel Patterns (2017)Measuring Regularity of Indiv…A Generative Model of Urban Activities from Cellular Data (2017)A Generative Model of Urban A…Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Urban activity pattern classification using topic models from online geo-location data (2014)Urban activity pattern classi…Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Activity-based models of travel demand: promises, progress and prospects (2013)Activity-based models of trav…Predicting future locations with hidden Markov models (2012)Predicting future locations w…Next place prediction using mobility Markov chains (2012)Next place prediction using m…Human mobility prediction based on individual and collective geographical preferences (2010)Human mobility prediction bas…Activity-Based Modeling of Travel Demand (2006)Activity-Based Modeling of Tr…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Activity-Based Modeling of Travel Demand (1999)Activity-Based Modeling of Tr…Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Activity‐based approaches to …Why metro passengers change travel behavior: Individual-level insights from interpretable machine learning (2025)Why metro passengers change t…Personalization in Public Transport Passenger Information Systems: A Systematic Review and Framework (2025)Personalization in Public Tra…LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction (2025)LingoTrip: Spatiotemporal con…Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data (2024)Unveiling mobility patterns b…Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data (2024)Testing feasibility of using …Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network (2024)Activity-Aware Human Mobility…Context-aware multi-head self-attentional neural network model for next location prediction (2023)Context-aware multi-head self…Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type (2023)Activity‐based model based on…Activity-based model based on long short-term memory network and mobile phone signalling data (2023)Activity-based model based on…A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning (2023)A Multi-Context Aware Human M…Knowledge Graph-Based Enhanced Transformer for Metro Individual Travel Destination Prediction (2022)Knowledge Graph-Based Enhance…A Dual-Flow Attentive Network With Feature Crossing for Chained Trip Purpose Inference (2022)A Dual-Flow Attentive Network…Understanding mobility based on GPS data (2008)Limits of Predictability in Human Mobility (2010)Understanding Human Mobility from Twitter (2015)Understanding individual human mobility patterns (2008)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Friendship and mobility (2011)Discovering themes and trends in transportation research using topic modeling (2017)Social-media data for urban sustainability (2018)Applications of artificial intelligence for disaster management (2020)Exploring Millions of Footprints in Location Sharing Services (2021)Predicting Depression via Social Media (2021)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Creating synthetic baseline populations (1996)Overview of Land Use Transport Models (2004)Out-of-home activities, daily travel, and subjective well-being (2010)Annals of the Association of American Geographers (1921)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Discovering urban activity patterns in cell phone data (2015)Land use–transport interaction modeling: A review of the literature and future research directions (2015)Examining the relationship between built environment and metro ridership at station-to-station level (2020)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Inferring friendship network structure by using mobile phone data (2009)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Understanding the tourist mobility using GPS: Where is the next place? (2016)Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Predicting Human Mobility via Variational Attention (2019)Learning to Simulate Human Mobility (2020)A survey on deep learning for human mobility (2023)
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References

  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 cited
  • 1992Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems649 cited
  • 2012Next place prediction using mobility Markov chains555 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2013Activity-based models of travel demand: promises, progress and prospects320 cited
  • 2014Urban activity pattern classification using topic models from online geo-location data289 cited
  • 2017A Generative Model of Urban Activities from Cellular Data185 cited
  • 2006Activity-Based Modeling of Travel Demand152 cited
  • 1999Activity-Based Modeling of Travel Demand152 cited
  • 2018Individual mobility prediction using transit smart card data140 cited
  • 2010Human mobility prediction based on individual and collective geographical preferences

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133 cited
  • 2017Measuring Regularity of Individual Travel Patterns122 cited
  • Cited by

    • 2023Context-aware multi-head self-attentional neural network model for next location prediction45 cited
    • 2023A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning23 cited
    • 2025LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction16 cited
    • 2024Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network14 cited
    • 2025Personalization in Public Transport Passenger Information Systems: A Systematic Review and Framework14 cited
    • 2022Knowledge Graph-Based Enhanced Transformer for Metro Individual Travel Destination Prediction14 cited
    • 2023Activity-based model based on long short-term memory network and mobile phone signalling data11 cited
    • 2024Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data11 cited
    • 2024Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data8 cited
    • 2022A Dual-Flow Attentive Network With Feature Crossing for Chained Trip Purpose Inference7 cited
    • 2023Activity‐based model based on multi‐day cellular data: Considering the lack of personal attributes and activity type7 cited
    • 2025Why metro passengers change travel behavior: Individual-level insights from interpretable machine learning5 cited