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Types and Characteristics Analysis of Human Dynamics in Seoul Using Location- Based Big Data
16 references·1 citing·47 second hop
Types and Characteristics Analysis of Human Dynamics in Seoul Using Location- Based Big Data (2019)Types and Characteristics Analysis of Hum…Urban spatiotemporal analysis using mobile phone data: Case study of medium- and large-sized Korean cities (2018)Urban spatiotemporal analysis…Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality (2018)Seoul's Wi-Fi hotspots: Wi-Fi…Identifying spatiotemporal urban activities through linguistic signatures (2018)Identifying spatiotemporal ur…City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)City dynamics through Twitter…Big data and urban system model - Substitutes or complements? A case study of modelling commuting patterns in Beijing (2017)Big data and urban system mod…Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago (2016)Explore spatiotemporal and de…Spectral clustering for sensing urban land use using Twitter activity (2014)Spectral clustering for sensi…Inferring Urban Land Use Using Large-Scale Social Media Check-in Data (2014)Inferring Urban Land Use Usin…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Clustering daily patterns of human activities in the city (2012)Clustering daily patterns of …Automated land use identification using cell-phone records (2011)Automated land use identifica…Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network (2009)Eigenplaces: Analysing Cities…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…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)A Computer Movie Simulating U…A Study on the Measurement of Floating Population and Locational Characteristics Using IoT-based Urban Data Sensors in Seoul (2022)A Study on the Measurement of…Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)Computational socioeconomics (2019)Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)The magical number seven, plus or minus two: Some limits on our capacity for processing information. 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References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 2005The origin of bursts and heavy tails in human dynamics2,260 cited
  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data399 cited
  • 2012Inferring land use from mobile phone activity299 cited
  • 2012Clustering daily patterns of human activities in the city282 cited
  • 2009Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network262 cited
  • 2016Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago225 cited
  • 2014Spectral clustering for sensing urban land use using Twitter activity205 cited
  • 2018Seoul's Wi-Fi hotspots: Wi-Fi access points as an indicator of urban vitality163 cited
  • 2017City dynamics through Twitter: Relationships between land use and spatiotemporal demographics117 cited
  • 2011Automated land use identification using cell-phone records116 cited
  • 2014Inferring Urban Land Use Using Large-Scale Social Media Check-in Data102 cited
  • 2018Urban spatiotemporal analysis using mobile phone data: Case study of medium- and large-sized Korean cities66 cited

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  • 2018Identifying spatiotemporal urban activities through linguistic signatures46 cited
  • 2017Big data and urban system model - Substitutes or complements? A case study of modelling commuting patterns in Beijing40 cited
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    • 2022A Study on the Measurement of Floating Population and Locational Characteristics Using IoT-based Urban Data Sensors in Seoul4 cited