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From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks
8 references·3 citing·33 second hop
From Mobility Analysis to Mobility Hubs Discovery: A Concept Based on Using CDR Data of the Mobile Networks (2018)From Mobility Analysis to Mobility Hubs D…Towards an adaptive completion of sparse Call Detail Records for mobility analysis (2017)Towards an adaptive completio…Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data (2017)Spatio-temporal mobility anal…Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data (2017)Clustering Weekly Patterns of…Human mobility characterization from cellular network data (2013)Human mobility characterizati…Mobile Phone Data as Source to Discover Spatial Activity and Motion Patterns (2012)Mobile Phone Data as Source t…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…A dynamic model for urban population density estimation using mobile phone location data (2010)A dynamic model for urban pop…Understanding individual human mobility patterns (2008)Understanding individual huma…Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic (2023)Using passive Wi-Fi for commu…Mainstreaming Sustainable Urban Mobility – The Mieri-Mobil Project (2023)Mainstreaming Sustainable Urb…Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks (2019)Exploring a New Model for Mob…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Limits of Predictability in Human Mobility (2010)Big Data Integration (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)From the Guest Editors: Mobility, Communication, and Urban Space (2014)Towards dynamic exposure-based schedule for hazardous material trains (2016)Fine-Scale Dasymetric Population Mapping with Mobile Phone and Building Use Data Based on Grid Voronoi Method (2020)Identifying Important Places in People’s Lives from Cellular Network Data (2011)Vehicle travel path recognition in urban dense road network environments by using mobile phone data (2021)Discovering regions of different functions in a city using human mobility and POIs (2012)Comparison of the spatiotemporal mobility patterns among typical subgroups of the actual population with mobile phone data: A case study of Beijing (2020)Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis (2021)How did human dwelling and working intensity change over different stages of COVID-19 in Beijing? (2021)Uncovering individual and collective human dynamics from mobile phone records (2008)Inferring friendship network structure by using mobile phone data (2009)OD-Matrix Extraction based on Trajectory Reconstruction from Mobile Data (2019)Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19 (2023)Mobility Detection Using Everyday GSM Traces (2006)Tracking unmodified smartphones using wi-fi monitors (2012)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Intermodal Mobility Hubs and User Needs (2019)Computational socioeconomics (2019)Identifying tourist experiences in Maui, Hawaii using mobile location data (2020)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2013Human mobility characterization from cellular network data311 cited
  • 2017Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data85 cited
  • 2012Mobile Phone Data as Source to Discover Spatial Activity and Motion Patterns21 cited
  • 2010A dynamic model for urban population density estimation using mobile phone location data13 cited
  • 2017Towards an adaptive completion of sparse Call Detail Records for mobility analysis13 cited
  • 2017Spatio-temporal mobility analysis for community detection in the mobile networks using CDR data13 cited

Cited by

  • 2023Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic8 cited
  • 2023Mainstreaming Sustainable Urban Mobility – The Mieri-Mobil Project6 cited
  • 2019Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks6 cited

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