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DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks
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DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks (2021)DeepFlowGen: Intention-Aware Fine Grained…Visualizing the Relationship Between Human Mobility and Points of Interest (2017)Visualizing the Relationship …The Gravity Equation in International Trade: An Explanation (2017)The Gravity Equation in Inter…Context-aware real-time population estimation for metropolis (2016)Context-aware real-time popul…Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2015)Understanding Mobile Traffic …Multi-scale population and mobility estimation with geo-tagged Tweets (2015)Multi-scale population and mo…CityMomentum (2015)CityMomentumFine-resolution population mapping using OpenStreetMap points-of-interest (2014)Fine-resolution population ma…CitySpectrum (2014)CitySpectrumHow big is the crowd? (2013)How big is the crowd?Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Urban Knowledge Graph Aided Mobile User Profiling (2023)Urban Knowledge Graph Aided M…Eigenbehaviors: identifying structure in routine (2009)Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network (2009)Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization (2016)Data-Driven Techniques in Disaster Information Management (2017)Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization (2019)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Private traits and attributes are predictable from digital records of human behavior (2013)Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data (2018)MAC (2019)Revealing Urban Dynamics by Learning Online and Offline Behaviours Together (2019)Human mobility modeling at metropolitan scales (2012)A mobility network approach to identify and anticipate large crowd gatherings (2018)A Variational Autoencoder Based Generative Model of Urban Human Mobility (2019)I'm the mayor of my house (2011)Sensing the Pulse of Urban Activity Centers Leveraging Bike Sharing Open Data (2015)Using Social Media for Attendees Density Estimation in City-Scale Events (2018)Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data (2020)Exploring Millions of Footprints in Location Sharing Services (2021)Citizens as sensors: the world of volunteered geography (2007)The credibility of volunteered geographic information (2008)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets (2015)Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data (2017)OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing (2020)Friendship and mobility (2011)Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata (2018)Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China (2018)Using human mobility data to quantify experienced urban inequalities (2025)The Geography of Transport Systems (2013)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Location2vec: A Situation-Aware Representation for Visual Exploration of Urban Locations (2019)Impact of COVID-19 on Urban Mobility during Post-Epidemic Period in Megacities: From the Perspectives of Taxi Travel and Social Vitality (2020)The Geography of Transport Systems (2020)Conflating point of interest (POI) data: A systematic review of matching methods (2023)Endogenous Technological Change (1990)The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity (2003)The Log of Gravity (2006)Power Laws in Economics: An Introduction (2016)Global Firms (2018)The Welfare Effects of Transportation Infrastructure Improvements (2022)The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons (1946)The origin of bursts and heavy tails in human dynamics (2005)A universal model for mobility and migration patterns (2012)The use of public spaces in a medium-sized city: from Twitter data to mobility patterns (2017)Capturing and Characterizing Human Activities Using Building Locations in America (2019)Understanding collective human movement dynamics during large-scale events using big geosocial data analytics (2021)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)
this work references cited by second hop

References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2017The Gravity Equation in International Trade: An Explanation303 cited
  • 2014Fine-resolution population mapping using OpenStreetMap points-of-interest250 cited
  • 2015Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment151 cited
  • 2015CityMomentum122 cited
  • 2014CitySpectrum96 cited
  • 2017Visualizing the Relationship Between Human Mobility and Points of Interest92 cited
  • 2016Context-aware real-time population estimation for metropolis70 cited
  • 2015Multi-scale population and mobility estimation with geo-tagged Tweets28 cited
  • 2013How big is the crowd?22 cited

Cited by

  • 2023Urban Knowledge Graph Aided Mobile User Profiling9 cited

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