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Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
4 references·4 citing·26 second hop
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19 (2021)Countrywide Origin-Destination Matrix Pre…Predicting Human Mobility via Variational Attention (2019)Predicting Human Mobility via…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:…Modeling inter-city population flows: a Deep Radiation model with multisource geographic features (2025)Modeling inter-city populatio…Estimating intercity human mobility flow from city attributes and intercity relations in physical space and cyberspace via graph attention network (2025)Estimating intercity human mo…Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction (2024)Instruction-Tuning Llama-3-8B…AGC-ODE: Adaptive Graph Controlled Neural ODE for Human Mobility Prediction (2024)AGC-ODE: Adaptive Graph Contr…Friendship and mobility (2011)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Learning to Simulate Human Mobility (2020)A survey on deep learning for human mobility (2023)Modelling the scaling properties of human mobility (2010)Mining User Mobility Features for Next Place Prediction in Location-Based Services (2012)User Mobility Synthesis based on Generative Adversarial Networks: A Survey (2020)Transfer Urban Human Mobility via POI Embedding over Multiple Cities (2021)Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach (2021)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)Spatial–Temporal Convolutional Model for Urban Crowd Density Prediction Based on Mobile-Phone Signaling Data (2021)Spatial–Temporal Urban Mobility Pattern Analysis During COVID-19 Pandemic (2022)COVID-19 is linked to changes in the time–space dimension of human mobility (2023)HMP-LLM: Human Mobility Prediction Based on Pre-trained Large Language Models (2024)Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT (2023)YJMob100K: City-scale and longitudinal dataset of anonymized human mobility trajectories (2024)The Laws of Migration (1885)A theory of migration (1966)Theories of International Migration: A Review and Appraisal (1993)Economic Development with Unlimited Supplies of Labour (1954)
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References

  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 cited
  • 2019Predicting Human Mobility via Variational Attention121 cited
  • 2018Deep ROI-Based Modeling for Urban Human Mobility Prediction48 cited

Cited by

  • 2024Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction18 cited
  • 2024AGC-ODE: Adaptive Graph Controlled Neural ODE for Human Mobility Prediction9 cited
  • 2025Modeling inter-city population flows: a Deep Radiation model with multisource geographic features6 cited
  • 2025Estimating intercity human mobility flow from city attributes and intercity relations in physical space and cyberspace via graph attention network4 cited

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