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Forecasting urban dynamics with mobility logs by bilinear Poisson regression
14 references·16 citing·39 second hop
Forecasting urban dynamics with mobility logs by bilinear Poisson regression (2015)Forecasting urban dynamics with mobility …Sensing WiFi packets in the air (2014)Sensing WiFi packets in the a…CitySpectrum (2014)CitySpectrumThe influence of temporal and spatial features on the performance of next-place prediction algorithms (2013)The influence of temporal and…Sensing the pulse of urban refueling behavior (2013)Sensing the pulse of urban re…Modeling temporal effects of human mobile behavior on location-based social networks (2013)Modeling temporal effects of …Modeling and probabilistic reasoning of population evacuation during large-scale disaster (2013)Modeling and probabilistic re…Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system (2012)Using smart card data to extr…PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data (2011)PFlow: Reconstructing People …Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)Activity-Aware Map: Identifyi…Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network (2009)Eigenplaces: Analysing Cities…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Renormalization of human mobility based on a revised electric circuit model and a new gravity relation (2025)Renormalization of human mobi…Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs (2025)Early crowd forecasting away …A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions (2025)A comprehensive methodologica…Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression (2021)Simultaneous Multiple POI Pop…Parasitic Location Logging: Estimating Users’ Location from Context of Passersby (2020)Parasitic Location Logging: E…VARIATION PROPERTIES OF TRIP GENERATION, TRIP ATTRACTION, INTRA-ZONAL TRIPS, AND TRAVEL TIME UNDER TRANSPORT NETWORK DISRUPTION (2019)VARIATION PROPERTIES OF TRIP …Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis (2019)Spatiality Preservable Factor…Understanding the Interdependency of Land Use and Mobility for Urban Planning (2018)Understanding the Interdepend…Spatio-Temporal Analysis for Understanding the Traffic Demand After the 2016 Kumamoto Earthquake Using Mobile Usage Data (2018)Spatio-Temporal Analysis for …Predictive population behavior analysis from multiple contexts with multilinear poisson regression (2018)Predictive population behavio…The effect of Pokémon Go on the pulse of the city: a natural experiment (2017)The effect of Pokémon Go on t…Modeling and reproducing human daily travel behavior from GPS data (2017)Modeling and reproducing huma…Efficient Content Distribution in DOOH Advertising Networks Exploiting Urban Geo-Social Connectivity (2017)Efficient Content Distributio…Representation learning for geospatial areas using large-scale mobility data from smart card (2016)Representation learning for g…CityProphet (2016)CityProphetCityCoupling (2016)CityCouplingUnderstanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Correlating mobile phone usage and travel behavior – A case study of Harbin, China (2011)Intra-urban human mobility patterns: An urban morphology perspective (2011)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Modelling the scaling properties of human mobility (2010)A Variational Autoencoder Based Generative Model of Urban Human Mobility (2019)Computational socioeconomics (2019)Discovering regions of different functions in a city using human mobility and POIs (2012)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)Revealing travel patterns and city structure with taxi trip dataCellular Census: Explorations in Urban Data Collection (2007)Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks (2010)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Principal Component Analysis on Spatial Data: An Overview (2012)Smart card data use in public transit: A literature review (2011)Urban computing with taxicabs (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Valuation of sitting and standing in metro trains using revealed preferences (2016)A probabilistic Passenger-to-Train Assignment Model based on automated data (2017)Defining and Estimating a Trading Area (1964)Encapsulating Urban Traffic Rhythms into Road Networks (2014)Mining spatiotemporal patterns of urban dwellers from taxi trajectory data (2015)The origin of bursts and heavy tails in human dynamics (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Unravelling daily human mobility motifs (2013)Development of origin–destination matrices using mobile phone call data (2014)A survey of results on mobile phone datasets analysis (2015)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Inferring friendship network structure by using mobile phone data (2009)The Massachusetts Institute of Technology (1999)Mining large-scale smartphone data for personality studies (2011)Measuring Large-Scale Social Networks with High Resolution (2014)Bridging the gap between physical location and online social networks (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)
this work references cited by second hop

References

  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2009Eigenbehaviors: identifying structure in routine439 cited
  • 2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data280 cited
  • 2009Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network262 cited
  • 2012Using smart card data to extract passenger's spatio-temporal density and train's trajectory of MRT system127 cited
  • 2013Modeling and probabilistic reasoning of population evacuation during large-scale disaster97 cited
  • 2014CitySpectrum96 cited
  • 2013Sensing the pulse of urban refueling behavior95 cited
  • 2013Modeling temporal effects of human mobile behavior on location-based social networks92 cited
  • 2011PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data92 cited
  • 2013The influence of temporal and spatial features on the performance of next-place prediction algorithms57 cited
  • 2014Sensing WiFi packets in the air54 cited

Cited by

  • 2017

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The effect of Pokémon Go on the pulse of the city: a natural experiment
47 cited
  • 2016CityProphet33 cited
  • 2018Understanding the Interdependency of Land Use and Mobility for Urban Planning20 cited
  • 2016CityCoupling17 cited
  • 2025A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions9 cited
  • 2019Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis9 cited
  • 2018Spatio-Temporal Analysis for Understanding the Traffic Demand After the 2016 Kumamoto Earthquake Using Mobile Usage Data7 cited
  • 2019VARIATION PROPERTIES OF TRIP GENERATION, TRIP ATTRACTION, INTRA-ZONAL TRIPS, AND TRAVEL TIME UNDER TRANSPORT NETWORK DISRUPTION6 cited
  • 2016Representation learning for geospatial areas using large-scale mobility data from smart card5 cited
  • 2017Modeling and reproducing human daily travel behavior from GPS data5 cited
  • 2017Efficient Content Distribution in DOOH Advertising Networks Exploiting Urban Geo-Social Connectivity5 cited
  • 2018Predictive population behavior analysis from multiple contexts with multilinear poisson regression5 cited
  • 2020Parasitic Location Logging: Estimating Users’ Location from Context of Passersby4 cited
  • 2025Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs3 cited
  • 2021Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression3 cited
  • 2025Renormalization of human mobility based on a revised electric circuit model and a new gravity relation3 cited