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Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility Modeling
16 references·2 citing·36 second hop
Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility Modeling (2020)Extending Coverage of Stationary Sensing …MAC (2019)MACDPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data (2019)DPLink: User Identity Linkage…Online Deep Ensemble Learning for Predicting Citywide Human Mobility (2018)Online Deep Ensemble Learning…DeepMove (2018)DeepMoveDeep ROI-Based Modeling for Urban Human Mobility Prediction (2018)Deep ROI-Based Modeling for U…Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Automatic user identification method across heterogeneous mobility data sources (2016)Automatic user identification…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Regularity and Conformity (2015)Regularity and ConformityCityMomentum (2015)CityMomentumGruMon (2014)GruMonExploring human mobility with multi-source data at extremely large metropolitan scales (2014)Exploring human mobility with…Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach (2013)Reconstructing Individual Mob…Human mobility modeling at metropolitan scales (2012)Human mobility modeling at me…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…BikeCAP: Deep Spatial-temporal Capsule Network for Multi-step Bike Demand Prediction (2022)BikeCAP: Deep Spatial-tempora…Mover (2021)MoverSocial Influence: Compliance and Conformity (2004)Understanding individual human mobility patterns (2008)The Geography of Pokémon GO (2017)The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement (2019)Context-aware Deep Model for Joint Mobility and Time Prediction (2020)Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Modelling the scaling properties of human mobility (2010)A universal model for mobility and migration patterns (2012)Friendship and mobility (2011)Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data (2017)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic (2021)Eigenbehaviors: identifying structure in routine (2009)Context-aware real-time population estimation for metropolis (2016)A mobility network approach to identify and anticipate large crowd gatherings (2018)A Variational Autoencoder Based Generative Model of Urban Human Mobility (2019)The scaling laws of human travel (2006)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Measuring objective and subjective well-being: dimensions and data sources (2020)The universal visitation law of human mobility (2021)A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Data from mobile phone operators: A tool for smarter cities? (2014)Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Predicting Human Mobility via Variational Attention (2019)Learning to Simulate Human Mobility (2020)A survey on deep learning for human mobility (2023)CP-Link: Exploiting Continuous Spatio-Temporal Check-In Patterns for User Identity Linkage (2022)Urban Knowledge Graph Aided Mobile User Profiling (2023)User Identity Linkage via Graph Convolutional Network Across Location-Based Social Networks (2023)
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References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 cited
  • 2015Returners and explorers dichotomy in human mobility491 cited
  • 2012Human mobility modeling at metropolitan scales295 cited
  • 2014Exploring human mobility with multi-source data at extremely large metropolitan scales153 cited
  • 2015Regularity and Conformity139 cited
  • 2015CityMomentum122 cited
  • 2019DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data93 cited
  • 2014GruMon87 cited
  • 2018Online Deep Ensemble Learning for Predicting Citywide Human Mobility53 cited
  • 2013Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach52 cited
  • 2018Deep ROI-Based Modeling for Urban Human Mobility Prediction48 cited
  • 2016Automatic user identification method across heterogeneous mobility data sources44 cited
  • 2019

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MAC
32 cited

Cited by

  • 2022BikeCAP: Deep Spatial-temporal Capsule Network for Multi-step Bike Demand Prediction6 cited
  • 2021Mover4 cited