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Estimating Latent People Flow without Tracking Individuals
7 references·1 citing·32 second hop
Estimating Latent People Flow without Tracking Individuals (2018)Estimating Latent People Flow without Tra…Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory (2017)Understanding People Lifestyl…Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models (2017)Estimating People Flow from S…Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Prediction of human emergency…Tracking unmodified smartphones using wi-fi monitors (2012)Tracking unmodified smartphon…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Challenges and business models for mobile location-based services and advertising (2011)Challenges and business model…Travel route recommendation using geotags in photo sharing sites (2010)Travel route recommendation u…Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations (2020)Time-delayed collective flow …Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Data-Driven Techniques in Disaster Information Management (2017)Big Data in Natural Disaster Management: A Review (2018)Applications of artificial intelligence for disaster management (2020)Using GPS to learn significant locations and predict movement across multiple users (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)Mapping the world's photos (2009)Mining Travel Patterns from Geotagged Photos (2012)Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)LORE (2014)COUNTERSPECULATION, AUCTIONS, AND COMPETITIVE SEALED TENDERS (1961)Developing GIS-supported location-based services (2002)Evolution of mobile location-based services (2003)Addressing the Personalization–Privacy Paradox: An Empirical Assessment from a Field Experiment on Smartphone Users1 (2013)Customer knowledge management via social media: the case of Starbucks (2013)SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)Urban computing with taxicabs (2011)Deep learning models for population flow generation from aggregated mobility data (2019)Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data (2019)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach (2021)Mobility knowledge graph: review and its application in public transport (2023)Urban Knowledge Graph Aided Mobile User Profiling (2023)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)How talkative is your mobile device? (2015)A Study of MAC Address Randomization in Mobile Devices and When it Fails (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)
this work references cited by second hop

References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2011Challenges and business models for mobile location-based services and advertising331 cited
  • 2010Travel route recommendation using geotags in photo sharing sites319 cited
  • 2012Tracking unmodified smartphones using wi-fi monitors256 cited
  • 2014Prediction of human emergency behavior and their mobility following large-scale disaster183 cited
  • 2017Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory34 cited
  • 2017Estimating People Flow from Spatiotemporal Population Data via Collective Graphical Mixture Models21 cited

Cited by

  • 2020Time-delayed collective flow diffusion models for inferring latent people flow from aggregated data at limited locations6 cited

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