SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training
8 references·3 citing·41 second hop
GODDAG: Generating Origin-Destination Flow for New Cities Via Domain Adversarial Training (2023)GODDAG: Generating Origin-Destination Flo…Transfer Urban Human Mobility via POI Embedding over Multiple Cities (2021)Transfer Urban Human Mobility…What is the Human Mobility in a New City: Transfer Mobility Knowledge Across Cities (2020)What is the Human Mobility in…Trip distribution modeling with Twitter data (2019)Trip distribution modeling wi…A Machine Learning Approach to Modeling Human Migration (2018)A Machine Learning Approach t…Systematic comparison of trip distribution laws and models (2016)Systematic comparison of trip…A universal model for mobility and migration patterns (2012)A universal model for mobilit…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Principles of social science (1888)Principles of social scienceLearning the complexity of urban mobility with deep generative network (2025)Learning the complexity of ur…Capturing spatial heterogeneity of population-level human mobility via a prior-guided graph neural network (2025)Capturing spatial heterogenei…A fusion model of temporal graph attention network and machine learning for inferring commuting flow from human activity intensity dynamics (2023)A fusion model of temporal gr…A Theoretical Foundation for the Gravity Equation. (1979)Understanding individual human mobility patterns (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)Growth, innovation, scaling, and the pace of life in cities (2007)Limits of Predictability in Human Mobility (2010)Geo-located Twitter as proxy for global mobility patterns (2014)A survey of results on mobile phone datasets analysis (2015)Intervening Opportunities: A Theory Relating Mobility and Distance (1940)A theory of migration (1966)Enhancing Trip Distribution Prediction with Twitter Data (2018)Artificial Intelligence for Social Good: A Survey (2020)Integration of dockless bike-sharing and metro: Prediction and explanation at origin-destination level (2023)Annals of the Association of American Geographers (1921)An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques (2024)How do transportation barriers affect healthcare visits? Using mobile-based trajectory data to inform health equity (2025)Human mobility is well described by closed-form gravity-like models learned automatically from data (2025)Location-Based Services for Mobile Telephony: a study of users' privacy concerns (2003)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)DeepMove (2018)Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning (2020)Inferring Origin-Destination Flows from Population Distribution (2021)TrajSGAN: A Semantic-Guiding Adversarial Network for Urban Trajectory Generation (2023)Discovering regions of different functions in a city using human mobility and POIs (2012)Human mobility modeling at metropolitan scales (2012)Regularity and Conformity (2015)STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19 (2022)Exploring human mobility: a time-informed approach to pattern mining and sequence similarity (2024)Understanding urban traffic flows in response to COVID-19 pandemic with emerging urban big data in Glasgow (2024)Human mobility: Models and applications (2018)The Geography of Transport Systems (2020)The scaling laws of human travel (2006)From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning (2025)The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence (1985)Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region (2003)Data-driven generation of spatio-temporal routines in human mobility (2017)The statistical physics of cities (2019)A METHOD OF FITTING THE GRAVITY MODEL BASED ON THE POISSON DISTRIBUTION* (1982)Modeling social influence through network autocorrelation: constructing the weight matrix (2002)
this work references cited by second hop

References

  • 2012A universal model for mobility and migration patterns1,509 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 1888Principles of social science220 cited
  • 2016Systematic comparison of trip distribution laws and models204 cited
  • 2018A Machine Learning Approach to Modeling Human Migration122 cited
  • 2019Trip distribution modeling with Twitter data74 cited
  • 2020What is the Human Mobility in a New City: Transfer Mobility Knowledge Across Cities54 cited
  • 2021Transfer Urban Human Mobility via POI Embedding over Multiple Cities45 cited

Cited by

  • 2025Learning the complexity of urban mobility with deep generative network18 cited
  • 2023A fusion model of temporal graph attention network and machine learning for inferring commuting flow from human activity intensity dynamics12 cited
  • 2025Capturing spatial heterogeneity of population-level human mobility via a prior-guided graph neural network7 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work