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DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination
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DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination (2024)DeepAGS: Deep learning with activity, geo…Bidirectional GRU networks‐based next POI category prediction for healthcare (2021)Bidirectional GRU networks‐ba…A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction (2020)A hierarchical temporal atten…Predicting Human Mobility via Variational Attention (2019)Predicting Human Mobility via…Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction (2018)Spatio-Temporal Attention bas…Location based services: ongoing evolution and research agenda (2018)Location based services: ongo…Individual mobility prediction using transit smart card data (2018)Individual mobility predictio…DeepMove (2018)DeepMoveDeep ROI-Based Modeling for Urban Human Mobility Prediction (2018)Deep ROI-Based Modeling for U…Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data (2018)Analysis and Prediction of Re…Measuring Regularity of Individual Travel Patterns (2017)Measuring Regularity of Indiv…A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories (2017)A Neural Network Approach to …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…Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Next place prediction using mobility Markov chains (2012)Next place prediction using m…n-Gram Geo-trace Modeling (2011)n-Gram Geo-trace ModelingUnderstanding mobility based on GPS data (2008)Limits of Predictability in Human Mobility (2010)Predicting future locations with hidden Markov models (2012)Understanding Human Mobility from Twitter (2015)Understanding individual human mobility patterns (2008)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)Friendship and mobility (2011)Exploring temporal effects for location recommendation on location-based social networks (2013)Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network (2018)Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification (2019)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)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)Activity-based disaggregate travel demand model system with activity schedules (2001)Reality mining: sensing complex social systems (2005)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)Speech and language processing (2010)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)Geographical information science (1992)Journal of Spatial Information Science (2011)Geospatial big data handling theory and methods: A review and research challenges (2015)A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt (2019)Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions (2021)Trackintel: An open-source Python library for human mobility analysis (2023)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification (2021)Self-supervised human mobility learning for next location prediction and trajectory classification (2021)Activity Trajectory Generation via Modeling Spatiotemporal Dynamics (2022)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Learning to Simulate Human Mobility (2020)A survey on deep learning for human mobility (2023)
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References

  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 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
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2018Location based services: ongoing evolution and research agenda317 cited
  • 2017A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories157 cited
  • 2018Individual mobility prediction using transit smart card data140 cited
  • 2017Measuring Regularity of Individual Travel Patterns122 cited
  • 2019Predicting Human Mobility via Variational Attention121 cited
  • 2020A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction112 cited
  • 2021Bidirectional GRU networks‐based next POI category prediction for healthcare95 cited
  • 2018Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data70 cited
  • 2018Deep ROI-Based Modeling for Urban Human Mobility Prediction48 cited
  • 2011n-Gram Geo-trace Modeling

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47 cited
  • 2018Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction27 cited
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