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A probabilistic kernel method for human mobility prediction with smartphones
10 references·14 citing·38 second hop
A probabilistic kernel method for human mobility prediction with smartphones (2014)A probabilistic kernel method for human m…The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data (2013)The Places of Our Lives: Visi…The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Predictability of individuals' mobility with high-resolution positioning data (2012)Predictability of individuals…Contextual conditional models for smartphone-based human mobility prediction (2012)Contextual conditional models…NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)NextPlace: A Spatio-temporal …Mining large-scale smartphone data for personality studies (2011)Mining large-scale smartphone…Towards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Predestination: Inferring Destinations from Partial Trajectories (2006)Predestination: Inferring Des…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda (2021)Mobile Technology and Studies…On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies (2019)On the accuracy and potential…Identifying Atypical Travel Patterns for Improved Medium-Term Mobility Prediction (2019)Identifying Atypical Travel P…Big Five personality traits predict daily spatial behavior: Evidence from smartphone data (2019)Big Five personality traits p…Understanding predictability and exploration in human mobility (2018)Understanding predictability …Mobile crowd location prediction with hybrid features using ensemble learning (2018)Mobile crowd location predict…How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology (2018)How Big Data Fast Tracked Hum…Comparing Sequential and Temporal Patterns from Human Mobility Data for Next-Place Prediction (2018)Comparing Sequential and Temp…A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz (2018)A new procedure using network…Human mobility in space from three modes of public transportation (2017)Human mobility in space from …Dynamic radius and confidence prediction in grid-based location prediction algorithms (2017)Dynamic radius and confidence…The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives (2016)The Mobile Territorial Lab: a…Assessing spatiotemporal predictability of LBSN: a case study of three Foursquare datasets (2016)Assessing spatiotemporal pred…A novel collaborative approach for location prediction in mobile networks (2016)A novel collaborative approac…Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Predicting future locations with hidden Markov models (2012)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)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)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)An Introduction to the Five‐Factor Model and Its Applications (1992)Internet paradox: A social technology that reduces social involvement and psychological well-being? (1998)A very brief measure of the Big-Five personality domains (2003)A Survey of Personality Computing (2014)Smartphone usage in the 21st century: who is active on WhatsApp? (2015)Predicting personality from patterns of behavior collected with smartphones (2020)Friendship and mobility (2011)From big smartphone data to worldwide research: The Mobile Data Challenge (2013)Exploiting machine learning techniques for location recognition and prediction with smartphone logs (2015)Exploring the potential of phone call data to characterize the relationship between social network and travel behavior (2015)Summary of Travel Trends 2001 National Household Travel Survey (2005)Learning and inferring transportation routines (2007)Mining Individual Life Pattern Based on Location History (2009)Travel route recommendation using geotags in photo sharing sites (2010)Understanding mobility based on GPS data (2008)The influence of temporal and spatial features on the performance of next-place prediction algorithms (2013)A refined limit on the predictability of human mobility (2014)On the properties of human mobility (2016)Computational Social Science (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones (2011)Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015)Hierarchical Cooperative Discovery of Personal Places from Location Traces (2017)Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches (2021)gSCorr (2012)Interdependence and predictability of human mobility and social interactions (2013)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)
this work references cited by second hop

References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories464 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 2011Mining large-scale smartphone data for personality studies381 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
  • 2012Contextual conditional models for smartphone-based human mobility prediction113 cited
  • 2013The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data104 cited
  • 2012Predictability of individuals' mobility with high-resolution positioning data90 cited

Cited by

  • 2018How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology54 cited
  • 2018A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz48 cited
  • 2017Human mobility in space from three modes of public transportation40 cited
  • 2019Big Five personality traits predict daily spatial behavior: Evidence from smartphone data

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39 cited
  • 2019On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies34 cited
  • 2018Mobile crowd location prediction with hybrid features using ensemble learning30 cited
  • 2016Assessing spatiotemporal predictability of LBSN: a case study of three Foursquare datasets29 cited
  • 2016The Mobile Territorial Lab: a multilayered and dynamic view on parents’ daily lives26 cited
  • 2021Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda15 cited
  • 2016A novel collaborative approach for location prediction in mobile networks14 cited
  • 2018Understanding predictability and exploration in human mobility13 cited
  • 2019Identifying Atypical Travel Patterns for Improved Medium-Term Mobility Prediction7 cited
  • 2017Dynamic radius and confidence prediction in grid-based location prediction algorithms5 cited
  • 2018Comparing Sequential and Temporal Patterns from Human Mobility Data for Next-Place Prediction5 cited