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Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification
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Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification (2021)Mobility Prediction Using a Weighted Mark…Urban Human Mobility (2019)Urban Human MobilityPredicting Human Mobility via Variational Attention (2019)Predicting Human Mobility via…A hybrid Markov-based model for human mobility prediction (2017)A hybrid Markov-based model f…Mining GPS data for mobility patterns: A survey (2013)Mining GPS data for mobility …Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…The scaling laws of human travel (2006)The scaling laws of human tra…A review of human mobility: Linking data, models, and real-world applications (2025)A review of human mobility: L…Uncovering Equity and Travelers’ Behavior on the Expressway: A Case Study of Shandong, China (2023)Uncovering Equity and Travele…An Information Theory Based Method for Quantifying the Predictability of Human Mobility (2023)An Information Theory Based M…Research on Smart Tourism Oriented Sensor Network Construction and Information Service Mode (2022)Research on Smart Tourism Ori…Human Mobility Prediction with Calibration for Noisy Trajectories (2022)Human Mobility Prediction wit…Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Understanding individual human mobility patterns (2008)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Understanding mobility based on GPS data (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)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Self-supervised human mobility learning for next location prediction and trajectory classification (2021)Activity Trajectory Generation via Modeling Spatiotemporal Dynamics (2022)Predicting Human Mobility via Graph Convolutional Dual-attentive Networks (2022)Smart tourism: foundations and developments (2015)Toward a holistic understanding of continued use of social networking tourism: A mixed-methods approach (2016)The Spatial Economy: Cities, Regions, and International Trade (2000)Gravity with Gravitas: A Solution to the Border Puzzle (2003)Duration as the Sixth Dimension of the Built Environment Travel Behaviour Framework (2026)A Mobility Analytical Framework for Big Mobile Data in Densely Populated Area (2016)Mining smartphone data for app usage prediction and recommendations: A survey (2017)Big data and understanding change in the context of planning transport systems (2018)A survey of results on mobile phone datasets analysis (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Human mobility: Models and applications (2018)Attentional Markov Model for Human Mobility Prediction (2021)Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction (2021)Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability (2022)Population mobility modelling for mobility data simulation (2020)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)
this work references cited by second hop

References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2013Mining GPS data for mobility patterns: A survey159 cited
  • 2019Predicting Human Mobility via Variational Attention121 cited
  • 2019Urban Human Mobility111 cited
  • 2017A hybrid Markov-based model for human mobility prediction91 cited

Cited by

  • 2025A review of human mobility: Linking data, models, and real-world applications17 cited
  • 2022Research on Smart Tourism Oriented Sensor Network Construction and Information Service Mode12 cited
  • 2023An Information Theory Based Method for Quantifying the Predictability of Human Mobility4 cited
  • 2023Uncovering Equity and Travelers’ Behavior on the Expressway: A Case Study of Shandong, China3 cited
  • 2022Human Mobility Prediction with Calibration for Noisy Trajectories3 cited

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