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The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data
16 references·16 citing·35 second hopsampled
The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data (2019)The effect of temporal sampling intervals…Modifiable Areal Unit Problem (2019)Modifiable Areal Unit ProblemModifiable Areal Unit Problem (2017)Modifiable Areal Unit ProblemThe 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…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…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…A survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…The origin of bursts and heavy tails in human dynamics (2005)The origin of bursts and heav…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Spatial Behavior: A Geographic Perspective (1998)Spatial Behavior: A Geographi…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)WHAT ABOUT PEOPLE IN REGIONAL…A review of human mobility: Linking data, models, and real-world applications (2025)A review of human mobility: L…Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories (2024)Investigating the relative ac…An entropy-based measurement for understanding origin-destination trip distributions: a case study of New York City taxis (2024)An entropy-based measurement …Influence of residential built environment on human mobility in Xining: A mobile phone data perspective (2023)Influence of residential buil…Understanding the impact of temporal scale on human movement analytics (2022)Understanding the impact of t…Exploring temporal and spatial reliability of individual activity space measurements using massive mobile phone data (2022)Exploring temporal and spatia…Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities (2022)Day-to-day intrapersonal vari…Categorizing urban space based on visitor density and diversity: A view through social media data (2022)Categorizing urban space base…The impact of human mobility data scales and processing on movement predictability (2021)The impact of human mobility …Profiling Residents’ Mobility with Grid-Aggregated Mobile Phone Trace Data Using Chengdu as the Case (2021)Profiling Residents’ Mobility…Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda (2021)Mobile Technology and Studies…Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore (2021)Entangled footprints: Underst…Characteristics of human mobility patterns revealed by high-frequency cell-phone position data (2021)Characteristics of human mobi…Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data (2021)Applying frequent-pattern min…Using Mobile Phone Data to Examine Point-of-Interest Urban Mobility (2020)Using Mobile Phone Data to Ex…Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context (2020)Spatial Accuracy Evaluation f…The magical number seven, plus or minus two: Some limits on our capacity for processing information. 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The case for connecting digital rights and freedoms globally (2017)From extractivism to global extractivism: the evolution of an organizing concept (2022)Spatial accessibility of primary care: concepts, methods and challenges (2004)An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians (2009)The Uncertain Geographic Context Problem (2012)Modelling the scaling properties of human mobility (2010)The Vulnerability of Science and the Science of Vulnerability (2003)What makes neighborhood different from home and city? Effects of place scale on place attachment (2009)Measuring segregation: an activity space approach (2010)Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 1970WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?3,414 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2005The origin of bursts and heavy tails in human dynamics2,260 cited
  • 2017Modifiable Areal Unit Problem1,879 cited
  • 1998Spatial Behavior: A Geographic Perspective960 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2016Annals of the American association of geographers762 cited
  • 2015Predicting poverty and wealth from mobile phone metadata700 cited
  • 2019Modifiable Areal Unit Problem673 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2015Returners and explorers dichotomy in human mobility

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491 cited

Cited by

  • 2021Characteristics of human mobility patterns revealed by high-frequency cell-phone position data37 cited
  • 2021The impact of human mobility data scales and processing on movement predictability29 cited
  • 2023Influence of residential built environment on human mobility in Xining: A mobile phone data perspective28 cited
  • 2021Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data20 cited
  • 2025A review of human mobility: Linking data, models, and real-world applications17 cited
  • 2022Categorizing urban space based on visitor density and diversity: A view through social media data15 cited
  • 2021Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda15 cited
  • 2022Understanding the impact of temporal scale on human movement analytics13 cited
  • 2021Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore12 cited
  • 2024An entropy-based measurement for understanding origin-destination trip distributions: a case study of New York City taxis10 cited
  • 2022Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities10 cited
  • 2024Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories8 cited
  • 2020Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context8 cited
  • 2020Using Mobile Phone Data to Examine Point-of-Interest Urban Mobility8 cited
  • 2021Profiling Residents’ Mobility with Grid-Aggregated Mobile Phone Trace Data Using Chengdu as the Case6 cited
  • 2022Exploring temporal and spatial reliability of individual activity space measurements using massive mobile phone data5 cited