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Analysis of smart card data for understanding spatial changes in consumption-oriented human flows
6 references·0 citing·30 second hopsampled
Analysis of smart card data for understanding spatial changes in consumption-oriented human flows (2016)Analysis of smart card data for understan…Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data (2016)Variability in Regularity: Mi…Measuring variability of mobility patterns from multiday smart-card data (2015)Measuring variability of mobi…Spectral clustering for sensing urban land use using Twitter activity (2014)Spectral clustering for sensi…Extracting Land-Use Patterns using Location Data from Smartphones (2014)Extracting Land-Use Patterns …An analysis on movement patterns between zones using smart card data in subway networks (2014)An analysis on movement patte…Finger on the pulse (2013)Finger on the pulseMobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data (2011)Transportation mode detection using mobile phones and GIS information (2011)Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis (2019)Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression (2021)Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs (2025)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)City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)Computational socioeconomics (2019)Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)The English indices of deprivation 2004 (2004)Understanding individual human mobility patterns (2008)A universal model for mobility and migration patterns (2012)The Geography of Pokémon GO (2017)The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement (2019)Measuring objective and subjective well-being: dimensions and data sources (2020)Modelling the scaling properties of human mobility (2010)Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage (2018)Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations (2018)Future directions in human mobility science (2023)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Inferring Social Functions Available in the Metro Station Area from Passengers’ Staying Activities in Smart Card Data (2017)Monitoring transit-served areas with smartcard data: A Brisbane case study (2017)Identifying primary public transit corridors using multi-source big transit data (2018)Limits of Predictability in Human Mobility (2010)Route choice stickiness of public transport passengers: Measuring habitual bus ridership behaviour using smart card data (2017)Using mobility data as proxy for measuring urban vitality (2018)The Geography of Transport Systems (2020)
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References

  • 2014Spectral clustering for sensing urban land use using Twitter activity205 cited
  • 2016Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data179 cited
  • 2015Measuring variability of mobility patterns from multiday smart-card data131 cited
  • 2013Finger on the pulse41 cited
  • 2014An analysis on movement patterns between zones using smart card data in subway networks39 cited
  • 2014Extracting Land-Use Patterns using Location Data from Smartphones13 cited

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