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A refined limit on the predictability of human mobility
5 references·16 citing·35 second hop
A refined limit on the predictability of human mobility (2014)A refined limit on the predictability of …Predicting future locations with hidden Markov models (2012)Predicting future locations w…Predictability of individuals' mobility with high-resolution positioning data (2012)Predictability of individuals…NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)NextPlace: A Spatio-temporal …Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Predestination: Where Do You Want to Go Today? (2007)Predestination: Where Do You …The Indoor Predictability of Human Mobility: Estimating Mobility With Smart Home Sensors (2022)The Indoor Predictability of …Survey of Automated Fare Collection Solutions in Public Transportation (2022)Survey of Automated Fare Coll…Revealing an Inherently Limiting Factor in Human Mobility Prediction (2022)Revealing an Inherently Limit…Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data (2021)Web Routineness and Limits of…The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility (2021)The Impact of Stationarity, R…The impact of human mobility data scales and processing on movement predictability (2021)The impact of human mobility …Putting human behavior predictability in context (2021)Putting human behavior predic…On estimating the predictability of human mobility: the role of routine (2021)On estimating the predictabil…Examining the Limits of Predictability of Human Mobility (2019)Examining the Limits of Predi…Deciphering Predictability Limits in Human Mobility (2019)Deciphering Predictability Li…Selecting Individual and Population Models for Predicting Human Mobility (2018)Selecting Individual and Popu…Enriching sparse mobility information in Call Detail Records (2018)Enriching sparse mobility inf…Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy (2018)Comparing Regional Patterns o…An alternative approach to the limits of predictability in human mobility (2017)An alternative approach to th…Home location inference from sparse and noisy data: models and applications (2016)Home location inference from …Home Location Inference from Sparse and Noisy Data: Models and Applications (2015)Home Location Inference from …Understanding individual human mobility patterns (2008)Understanding mobility based on GPS data (2008)Next place prediction using mobility Markov chains (2012)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)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)Personality Structure: Emergence of the Five-Factor Model (1990)Power laws, Pareto distributions and Zipf's law (2005)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis (2021)Approaching the Limit of Predictability in Human Mobility (2013)Predicting human mobility through the assimilation of social media traces into mobility models (2016)Understanding individuals' proclivity for novelty seeking (2020)Friendship and mobility (2011)Correcting missingness in passively-generated mobile data with Multi-Task Gaussian Processes (2024)Human mobility prediction with causal and spatial-constrained multi-task network (2024)LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction (2025)Using GPS to learn significant locations and predict movement across multiple users (2003)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)The influence of temporal and spatial features on the performance of next-place prediction algorithms (2013)A probabilistic kernel method for human mobility prediction with smartphones (2014)On the properties of human mobility (2016)Identity, profiling algorithms and a world of ambient intelligence (2010)Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries (2018)Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data (2020)Travel mode recognition of urban residents using mobile phone data and MapAPI (2021)Comparison of home detection algorithms using smartphone GPS data (2024)From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning (2025)
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References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
  • 2012Predictability of individuals' mobility with high-resolution positioning data90 cited
  • 2007Predestination: Where Do You Want to Go Today?85 cited

Cited by

  • 2017An alternative approach to the limits of predictability in human mobility42 cited
  • 2019Examining the Limits of Predictability of Human Mobility39 cited
  • 2021On estimating the predictability of human mobility: the role of routine34 cited
  • 2018Enriching sparse mobility information in Call Detail Records32 cited
  • 2019Deciphering Predictability Limits in Human Mobility31 cited
  • 2022Survey of Automated Fare Collection Solutions in Public Transportation29 cited
  • 2021The impact of human mobility data scales and processing on movement predictability29 cited
  • 2021Putting human behavior predictability in context29 cited
  • 2018Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy24 cited
  • 2016Home location inference from sparse and noisy data: models and applications

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21 cited
  • 2021Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data21 cited
  • 2018Selecting Individual and Population Models for Predicting Human Mobility19 cited
  • 2021The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility17 cited
  • 2022Revealing an Inherently Limiting Factor in Human Mobility Prediction15 cited
  • 2015Home Location Inference from Sparse and Noisy Data: Models and Applications14 cited
  • 2022The Indoor Predictability of Human Mobility: Estimating Mobility With Smart Home Sensors14 cited