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On Non-Routine Places in Urban Human Mobility
15 references·1 citing·41 second hop
On Non-Routine Places in Urban Human Mobility (2018)On Non-Routine Places in Urban Human Mobi…There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas (2017)There's a Path for Everyone: …On the properties of human mobility (2016)On the properties of human mo…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Multidimensional Human Dynamics in Mobile Phone Communications (2014)Multidimensional Human Dynami…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…How many places do you visit a day? (2013)How many places do you visit …Deriving Operational Origin-Destination Matrices From Large Scale Mobile Phone Data (2013)Deriving Operational Origin-D…AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data (2013)AllAboard: A System for Explo…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Friendship and mobility (2011)Friendship and mobilityEvaluating long‐distance travel patterns in Israel by tracking cellular phone positions (2011)Evaluating long‐distance trav…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Generating Trajectories from Mobile Phone Data (2010)Generating Trajectories from …Measuring serendipity (2009)Measuring serendipityUnderstanding individual human mobility patterns (2008)Understanding individual huma…Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data (2022)Identification and Classifica…Reality mining: sensing complex social systems (2005)Limits of Predictability in Human Mobility (2010)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Using GPS to learn significant locations and predict movement across multiple users (2003)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)The scaling laws of human travel (2006)Are call detail records biased for sampling human mobility? (2012)A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study (2016)The origin of bursts and heavy tails in human dynamics (2005)A universal model for mobility and migration patterns (2012)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)Observing the rhythms of daily life: A six-week travel diary (2002)Deriving origin–destination data from a mobile phone network (2007)Uncovering individual and collective human dynamics from mobile phone records (2008)A Bayesian approach to detect pedestrian destination-sequences from WiFi signatures (2014)Closer to the total? Long-distance travel of French mobile phone users (2017)Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata (2018)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)Transportation Systems Engineering: Theory and Methods (2001)Building a validation measure for activity-based transportation models based on mobile phone data (2014)From Cells to Streets (2014)Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data (2016)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Measuring objective and subjective well-being: dimensions and data sources (2020)The universal visitation law of human mobility (2021)Is bigger better? The emergence of big data as a tool for international development policy (2014)Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal (2016)Mobile Big Data: The Fuel for Data-Driven Wireless (2017)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2011Friendship and mobility2,912 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2015Returners and explorers dichotomy in human mobility491 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2009Measuring serendipity170 cited
  • 2013AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data123 cited
  • 2011Evaluating long‐distance travel patterns in Israel by tracking cellular phone positions80 cited
  • 2010Generating Trajectories from Mobile Phone Data60 cited
  • 2016On the properties of human mobility58 cited
  • 2013Deriving Operational Origin-Destination Matrices From Large Scale Mobile Phone Data38 cited
  • 2014Multidimensional Human Dynamics in Mobile Phone Communications29 cited
  • 2013How many places do you visit a day?19 cited
  • 2017There's a Path for Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas14 cited

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  • 2022Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data10 cited