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Building Function Type Identification Using Mobile Signaling Data Based on a Machine Learning Method
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Building Function Type Identification Using Mobile Signaling Data Based on a Machine Learning Method (2022)Building Function Type Identification Usi…Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Portraying the spatial dynami…Social-media data for urban sustainability (2018)Social-media data for urban s…Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data (2018)Portraying Urban Functional Z…Integrating multi-source big data to infer building functions (2017)Integrating multi-source big …Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Coupling mobile phone and soc…Editorial: human dynamics in the mobile and big data era (2016)Editorial: human dynamics in …Inferring building functions from a probabilistic model using public transportation data (2014)Inferring building functions …The Geography of Transport Systems (2013)The Geography of Transport Sy…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Good is Volunteered Geogr…Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen (2009)Understanding individual and …Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea (2008)Use of Smart Card Data to Def…Understanding individual human mobility patterns (2008)Understanding individual huma…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …The potential of public transport smart card data (2005)The potential of public trans…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)Geography: A Modern Synthesis (1972)Geography: a modern synthesis (2004)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Spatiotemporal Patterns of Urban Human Mobility (2012)Behavioural data mining of transit smart card data: A data fusion approach (2014)The world is flat: a brief history of the twenty-first century (2006)Citizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Assuring the quality of volunteered geographic information (2012)Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation (2012)Travel demand and the 3Ds: Density, diversity, and design (1997)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2016)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)The Geography of Transport Systems (2020)You are where you tweet (2010)CRITICAL QUESTIONS FOR BIG DATA (2012)Big Data and cloud computing: innovation opportunities and challenges (2016)Using social media to assess nature-based tourism: Current research and future trends (2020)Urban Resilience for Urban Sustainability: Concepts, Dimensions, and Perspectives (2022)Media attention, green technology innovation and industrial enterprises’ sustainable development: The moderating effect of environmental regulation (2023)Spatial Econometrics: Methods and Models (1988)The impacts of urban vitality and urban density on innovation: Evidence from China's Greater Bay Area (2021)Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China (2022)Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity (2023)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Research on the influence of after-sales service quality factors on customer satisfaction (2020)Active accessibility: A review of operational measures of walking and cycling accessibility (2015)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets1,640 cited
  • 2013The Geography of Transport Systems746 cited
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  • 2012Inferring land use from mobile phone activity299 cited
  • 2017Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns298 cited
  • 2018Social-media data for urban sustainability291 cited
  • 2019Portraying the spatial dynamics of urban vibrancy using multisource urban big data262 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2018Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data133 cited
  • 2016Editorial: human dynamics in the mobile and big data era132 cited
  • 2014Inferring building functions from a probabilistic model using public transportation data131 cited
  • 2017Integrating multi-source big data to infer building functions106 cited
  • 2009Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen

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106 cited
  • 2008Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea98 cited
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