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Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data
16 references·11 citing·31 second hop
Effects of Data Preprocessing Methods on Addressing Location Uncertainty in Mobile Signaling Data (2020)Effects of Data Preprocessing Methods on …The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Annals of the American association of geographers (2016)Annals of the American associ…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Predicting poverty and wealth from mobile phone metadata (2015)Predicting poverty and wealth…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…A survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Friendship and mobility (2011)Friendship and mobilityEstimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Individual Trip Destination E…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning (2025)From biases to opportunities:…Urban Functional Zone Classification via Advanced Multi-Modal Data Fusion (2024)Urban Functional Zone Classif…Influence of residential built environment on human mobility in Xining: A mobile phone data perspective (2023)Influence of residential buil…A Framework of Travel Mode Identification Fusing Deep Learning and Map-Matching Algorithm (2023)A Framework of Travel Mode Id…Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea (2022)Understanding the movement pr…Two-stage procedure for transportation mode detection based on sighting data (2022)Two-stage procedure for trans…Modeling activity spaces using big geo‐data: Progress and challenges (2022)Modeling activity spaces usin…Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data (2021)Revealing correlation pattern…Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda (2021)Mobile Technology and Studies…Combining individual travel behaviour and collective preferences for next location prediction (2021)Combining individual travel b…Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context (2020)Spatial Accuracy Evaluation f…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)Me++ (2003)Me++: The Cyborg Self and the Networked City (2003)Dynamic population mapping using mobile phone data (2014)Human mobility: Models and applications (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)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)The universal visitation law of human mobility (2021)The Strength of Weak Ties (1973)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India (2001)Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017)Economic Growth and Income Inequality (2019)Social physics (2022)The Production of Space (1992)Local Indicators of Spatial Association—LISA (1995)Decolonization is not a metaphor (2012)Digital turn, digital geographies? (2016)What is data justice? The case for connecting digital rights and freedoms globally (2017)From extractivism to global extractivism: the evolution of an organizing concept (2022)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2011Friendship and mobility2,912 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2016Annals of the American association of geographers762 cited
  • 2015Predicting poverty and wealth from mobile phone metadata700 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2015Returners and explorers dichotomy in human mobility491 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore

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472 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • Cited by

    • 2022Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea34 cited
    • 2023A Framework of Travel Mode Identification Fusing Deep Learning and Map-Matching Algorithm28 cited
    • 2023Influence of residential built environment on human mobility in Xining: A mobile phone data perspective28 cited
    • 2021Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data25 cited
    • 2022Modeling activity spaces using big geo‐data: Progress and challenges19 cited
    • 2021Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda15 cited
    • 2025From biases to opportunities: leveraging Location-Based-Service (LBS) data for next-generation transportation planning10 cited
    • 2021Combining individual travel behaviour and collective preferences for next location prediction10 cited
    • 2022Two-stage procedure for transportation mode detection based on sighting data8 cited
    • 2020Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context8 cited
    • 2024Urban Functional Zone Classification via Advanced Multi-Modal Data Fusion5 cited