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Exploring spatiotemporal patterns of geosocial media data for urban functional zone identification
16 references·0 citing·47 second hop
Exploring spatiotemporal patterns of geosocial media data for urban functional zone identification (2022)Exploring spatiotemporal patterns of geos…Classification Schemes and Identification Methods for Urban Functional Zone: A Review of Recent Papers (2021)Classification Schemes and Id…What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data (2020)What happens where during dis…Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities (2020)Recognizing urban functional …A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China (2019)A multi‐modal transportation …Using Individual GPS Trajectories to Explore Foodscape Exposure: A Case Study in Beijing Metropolitan Area (2018)Using Individual GPS Trajecto…Representing Urban Functions through Zone Embedding with Human Mobility Patterns (2018)Representing Urban Functions …Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data (2018)Portraying Urban Functional Z…Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data (2018)Identifying Urban Functional …City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)City dynamics through Twitter…Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Mining point-of-interest data…Automated identification and characterization of parcels with OpenStreetMap and points of interest (2015)Automated identification and …Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API (2014)Two 1%s Don’t Make a Whole: C…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…Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Discovering Urban Functional …OMG Earthquake! Can Twitter Improve Earthquake Response? (2010)OMG Earthquake! Can Twitter I…Citizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing (2017)Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data (2017)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)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)Map projections: A working manual (1987)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Regularity and Conformity (2015)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Real-time trip purpose prediction using online location-based search and discovery services (2017)Using Spatial Semantics and Interactions to Identify Urban Functional Regions (2018)Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)A comparison of string distance metrics for name-matching tasks (2003)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Social Media data: Challenges, opportunities and limitations in urban studies (2018)A new insight into land use classification based on aggregated mobile phone data (2014)Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information (2015)Modifiable Areal Unit Problem (2017)A New Urban Vitality Analysis and Evaluation Framework Based on Human Activity Modeling Using Multi-Source Big Data (2020)Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China (2022)The measurement of urban travel demand (1974)Bowling Alone: The Collapse and Revival of American Community (2000)Adversarial Substructured Representation Learning for Mobile User Profiling (2019)Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations (2019)Multi-Graph Fusion Networks for Urban Region Embedding (2022)Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai (2012)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Identifying urban functional zones by capturing multi-spatial distribution patterns of points of interest (2022)Urban Functional Zone Classification Based on POI Data and Machine Learning (2023)Semantic-Enhanced Graph Convolutional Neural Networks for Multi-Scale Urban Functional-Feature Identification Based on Human Mobility (2024)Suggesting frameworks of citizen-sourcing via Government 2.0 (2011)Big data and disaster management: a systematic review and agenda for future research (2017)Mining Twitter Data for Improved Understanding of Disaster Resilience (2018)Understanding the spatial organization of urban functions based on co-location patterns mining: A comparative analysis for 25 Chinese cities (2019)Identification of Urban Functional Areas by Coupling Satellite Images and Taxi GPS Trajectories (2020)Is eye-level greening associated with the use of dockless shared bicycles? 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References

  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 2015Mining point-of-interest data from social networks for urban land use classification and disaggregation337 cited
  • 2015Automated identification and characterization of parcels with OpenStreetMap and points of interest300 cited
  • 2014Spectral clustering for sensing urban land use using Twitter activity205 cited
  • 2010OMG Earthquake! Can Twitter Improve Earthquake Response?196 cited
  • 2018Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data133 cited
  • 2018Representing Urban Functions through Zone Embedding with Human Mobility Patterns119 cited
  • 2017City dynamics through Twitter: Relationships between land use and spatiotemporal demographics117 cited
  • 2014Inferring Urban Land Use Using Large-Scale Social Media Check-in Data102 cited
  • 2021Classification Schemes and Identification Methods for Urban Functional Zone: A Review of Recent Papers95 cited
  • 2018Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data82 cited
  • 2014Two 1%s Don’t Make a Whole: Comparing Simultaneous Samples from Twitter’s Streaming API69 cited
  • 2020Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities52 cited
  • 2019

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A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China
49 cited
  • 2020What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data33 cited
  • 2018Using Individual GPS Trajectories to Explore Foodscape Exposure: A Case Study in Beijing Metropolitan Area30 cited
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