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Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow
4 references·7 citing·37 second hop
Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow (2015)Mobility Viewer: An Eulerian Approach for…Coupling human mobility and social ties (2015)Coupling human mobility and s…User mobility from the view of cellular data networks (2014)User mobility from the view o…Discovering Spatial Interaction Communities from Mobile Phone D ata (2013)Discovering Spatial Interacti…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter (2021)Mobile Positioning and Trajec…Pareto-Optimal Transit Route Planning With Multi-Objective Monte-Carlo Tree Search (2020)Pareto-Optimal Transit Route …Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data (2019)Understanding Metropolitan Cr…Assessing Refugees’ Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors (2019)Assessing Refugees’ Integrati…Assessing Refugees’ Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors (2019)Assessing Refugees’ Integrati…Adaptively Exploring Population Mobility Patterns in Flow Visualization (2017)Adaptively Exploring Populati…Spatial–temporal visualization of city-wide crowd movement (2016)Spatial–temporal visualizatio…Understanding individual human mobility patterns (2008)Friendship and mobility (2011)Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster (2016)Big data in public transportation: a review of sources and methods (2019)Urban Mobility and Activity Space (2020)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Rethinking big data: A review on the data quality and usage issues (2015)Big data and analytics in hospitality and tourism: a systematic literature review (2021)Survey of wireless big data (2017)Discovering Periodic Patterns for Large Scale Mobile Traffic Data: Method and Applications (2018)Mobile Social Data Learning for User-Centric Location Prediction With Application in Mobile Edge Service Migration (2019)Exploring Millions of Footprints in Location Sharing Services (2021)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)Discovering regions of different functions in a city using human mobility and POIs (2012)Understanding Human Activity and Urban Mobility Patterns From Massive Cellphone Data: Platform Design and Applications (2020)Visual Human–Computer Interactions for Intelligent Vehicles and Intelligent Transportation Systems: The State of the Art and Future Directions (2020)A study of the spatial network structure of ethnic regions in Northwest China based on multiple factor flows in the context of COVID-19: Evidence from Ningxia (2024)Rethinking Assimilation Theory for a New Era of Immigration (1997)Quantifying the relationship between mobility patterns and socioeconomic status of dockless bike-sharing users (2024)Urban Bus Transit Route Network Design Using Genetic Algorithm (1998)Transit network design and scheduling: A global review (2008)Real-time routing with OpenStreetMap data (2011)A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers’ Travel Demands (2020)Public Transport Planning (2021)MetroBUX: A Topology-Based Visual Analytics for Bus Operational Uncertainty EXploration (2024)Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Estimating human trajectories and hotspots through mobile phone data (2014)Human mobility: Models and applications (2018)Visualization and Assessment of the Effect of Roadworks on Traffic Congestion Using AVL Data of Public Transit (2022)Visualizing population mobility from spatiotemporally aggregated mobile phone data via a 3D gradient approach (2022)HealthWalks (2020)Will You Come Back / Check-in Again? (2020)CellSense (2021)
this work references cited by second hop

References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2013Discovering Spatial Interaction Communities from Mobile Phone D ata249 cited
  • 2015Coupling human mobility and social ties188 cited
  • 2014User mobility from the view of cellular data networks53 cited

Cited by

  • 2017Adaptively Exploring Population Mobility Patterns in Flow Visualization36 cited
  • 2020Pareto-Optimal Transit Route Planning With Multi-Objective Monte-Carlo Tree Search36 cited
  • 2016Spatial–temporal visualization of city-wide crowd movement21 cited
  • 2019Understanding Metropolitan Crowd Mobility via Mobile Cellular Accessing Data19 cited
  • 2019Assessing Refugees’ Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors8 cited
  • 2021Mobile Positioning and Trajectory Reconstruction Based on Mobile Phone Network Data: A Tentative Using Particle Filter6 cited
  • 2019Assessing Refugees’ Integration via Spatio-Temporal Similarities of Mobility and Calling Behaviors4 cited

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