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Call Detail Records for Human Mobility Studies
9 references·6 citing·43 second hopsampled
Call Detail Records for Human Mobility Studies (2017)Call Detail Records for Human Mobility St…Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation (2016)Beyond the “single-operator, …Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…A review of urban computing for mobile phone traces (2013)A review of urban computing f…Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data (2012)Steps towards the Extraction …Are call detail records biased for sampling human mobility? (2012)Are call detail records biase…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Real-Time Urban Monitoring Us…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Deriving origin–destination data from a mobile phone network (2007)Deriving origin–destination d…Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data (2022)Commuting Analysis of the Bud…Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research (2022)Capturing Unobserved Tourists…Evaluating the Effect of the Financial Status to the Mobility Customs (2021)Evaluating the Effect of the …Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study (2021)Analyzing the Behavior and Fi…Activity Pattern Analysis of the Mobile Phone Network During a Large Social Event (2019)Activity Pattern Analysis of …Analysis of Call Detail Records for Understanding Users Behavior and Anomaly Detection Using Neo4j (2018)Analysis of Call Detail Recor…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Urban Computing (2014)Human mobility: Models and applications (2018)Measuring serendipity (2009)Trajectory reconstruction from mobile positioning data using cell-to-cell travel time information (2015)Cell phone big data to compute mobility scenarios for future smart cities (2017)Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring (2024)The origin of bursts and heavy tails in human dynamics (2005)Modeling bursts and heavy tails in human dynamics (2006)The scaling laws of human travel (2006)Computational Social Science (2009)Friendship and mobility (2011)Simulating dynamical features of escape panic (2000)Reality mining: sensing complex social systems (2005)A universal model for mobility and migration patterns (2012)Smart cities of the future (2012)Extracting origin destination information from mobile phone data (2002)Location based services—new challenges for planning and public administration? (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Development of origin–destination matrices using mobile phone call data (2014)OPERATIONAL PARAMETERS AFFECTING THE USE OF ANONYMOUS CELL PHONE TRACKING FOR GENERATING TRAFFIC INFORMATION (2003)Cellular Census: Explorations in Urban Data Collection (2007)Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)A literature survey on smart cities (2015)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Dynamic population mapping using mobile phone data (2014)A survey of results on mobile phone datasets analysis (2015)Towards a methodological framework for estimating present population density from mobile network operator data (2020)Unveiling large-scale commuting patterns based on mobile phone cellular network data (2020)A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions (2023)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)A survey of data fusion in smart city applications (2019)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Environment and Planning b: Planning and Design (1998)Returners and explorers dichotomy in human mobility (2015)Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning (2023)SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques (2024)Quantifying barriers of urban mobility (2025)Measuring Large-Scale Social Networks with High Resolution (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)
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References

  • 2008Understanding individual human mobility patterns6,185 cited
  • 2010Limits of Predictability in Human Mobility3,282 cited
  • 2010Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome632 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore483 cited
  • 2007Deriving origin–destination data from a mobile phone network277 cited
  • 2013A review of urban computing for mobile phone traces258 cited
  • 2012Are call detail records biased for sampling human mobility?124 cited
  • 2016Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation56 cited
  • 2012Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data34 cited

Cited by

  • 2022Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data15 cited
  • 2021Evaluating the Effect of the Financial Status to the Mobility Customs13 cited
  • 2022Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research11 cited
  • 2021Analyzing the Behavior and Financial Status of Soccer Fans from a Mobile Phone Network Perspective: Euro 2016, a Case Study10 cited
  • 2018Analysis of Call Detail Records for Understanding Users Behavior and Anomaly Detection Using Neo4j

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6 cited
  • 2019Activity Pattern Analysis of the Mobile Phone Network During a Large Social Event4 cited