SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach
11 references·0 citing·43 second hop
Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach (2025)Urban region function classification via …A self-supervised detection method for mixed urban functions based on trajectory temporal image (2024)A self-supervised detection m…Classifying Urban Functional Zones Based on Modeling POIs by Deepwalk (2023)Classifying Urban Functional …Analyzing travel mobility patterns in city destinations: Implications for destination design (2023)Analyzing travel mobility pat…Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)Delineating urban functional …Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest (2021)Block2vec: An Approach for Id…A graph based approach for functional urban areas delineation (2019)A graph based approach for fu…Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Delineating urban functional …Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Mining point-of-interest data…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)From mobile phone data to the spatial structure of cities (2014)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Space and Place: The Perspective of Experience. (1978)Citizens as sensors: the world of volunteered geography (2007)Crowdsourcing geographic information for disaster response: a research frontier (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Measuring human perceptions of a large-scale urban region using machine learning (2018)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)A comparison of string distance metrics for name-matching tasks (2003)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Social Media data: Challenges, opportunities and limitations in urban studies (2018)Discovering regions of different functions in a city using human mobility and POIs (2012)Measuring accessibility: positive and normative implementations of various accessibility indicators (2012)Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou (2020)Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors (2021)Natural Scales in Geographical Patterns (2017)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Understanding house price appreciation using multi-source big geo-data and machine learning (2020)Zipf's Law for Cities: An Explanation (1999)Modifiable Areal Unit Problem (2017)Identifying urban functional zones by capturing multi-spatial distribution patterns of points of interest (2022)Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review (2022)Urban Region Representation Learning with OpenStreetMap Building Footprints (2023)Toward a Sociology of International Tourism (1972)Why Destination Areas Rise and Fall in Popularity (1974)Big data in tourism research: A literature review (2018)Travel patterns and spatial structure: understanding winter tourism by trajectory data mining (2024)Understanding attractions’ connection patterns based on intra-destination tourist mobility: A network motif approach (2024)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data (2024)Classifying Urban Functional Zones by Integrating the Homogeneity and Structural Similarity of POIs (2024)Identifying dynamic functions of urban areas with a multi-temporal collaborative graph neural network model (2025)Control problems of grey systems (1982)Mixed land-uses and commuting: Evidence from the American Housing Survey (1996)Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017)Identifying urban spatial clusters via flow dynamics: a coupled tensor-based method (2025)Analyzing the impact of three-dimensional building structure on CO2 emissions based on random forest regression (2021)GeoBERT: Pre-Training Geospatial Representation Learning on Point-of-Interest (2022)
this work references cited by second hop

References

  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data399 cited
  • 2015Mining point-of-interest data from social networks for urban land use classification and disaggregation337 cited
  • 2016Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method268 cited
  • 2021Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London132 cited
  • 2021Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest47 cited
  • 2023Analyzing travel mobility patterns in city destinations: Implications for destination design35 cited
  • 2023Classifying Urban Functional Zones Based on Modeling POIs by Deepwalk17 cited
  • 2024A self-supervised detection method for mixed urban functions based on trajectory temporal image13 cited
  • 2019A graph based approach for functional urban areas delineation10 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work