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Urban Region Representation Learning with OpenStreetMap Building Footprints
9 references·4 citing·42 second hop
Urban Region Representation Learning with OpenStreetMap Building Footprints (2023)Urban Region Representation Learning with…Estimating urban functional distributions with semantics preserved POI embedding (2022)Estimating urban functional d…Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)Delineating urban functional …Crowdsourced geospatial data quality: challenges and future directions (2019)Crowdsourced geospatial data …Representing Urban Functions through Zone Embedding with Human Mobility Patterns (2018)Representing Urban Functions …Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Beyond Word2vec: An approach …Regions, Periods, Activities (2017)Regions, Periods, ActivitiesRegion Representation Learning via Mobility Flow (2017)Region Representation Learnin…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…FlexiReg: Flexible Urban Region Representation Learning (2025)FlexiReg: Flexible Urban Regi…A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data (2025)A Transformer-Based Approach …Urban Region Embedding via Multi-View Contrastive Prediction (2024)Urban Region Embedding via Mu…Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data (2024)Learning context-aware region…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 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Understanding Our Socioeconomic Environments (2015)Visualizing and exploring POI configurations of urban regions on POI-type semantic space (2020)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Internet encyclopaedias go head to head (2005)Citizens as sensors: the world of volunteered geography (2007)Assuring the quality of volunteered geographic information (2012)Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities (2022)Accessibility inequality across Europe: a comparison of 15-minute pedestrian accessibility in cities with 100,000 or more inhabitants (2023)Crowdsourcing Geospatial Data for Earth and Human Observations: A Review (2023)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)Relationship between built environment characteristics of TOD and subway ridership: A causal inference and regression analysis of the Beijing subway (2022)Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review (2022)The Compact City (2003)The Geography of Transport Systems (2013)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Recognizing mixed urban functions from human activities using representation learning methods (2023)A review of crowdsourced geographic information for land-use and land-cover mapping: current progress and challenges (2024)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives (2024)SILO: Semantic Integration for Location Prediction with Large Language Models (2025)Methodologies for Cross-Domain Data Fusion: An Overview (2015)
this work references cited by second hop

References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data399 cited
  • 2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs258 cited
  • 2017Regions, Periods, Activities142 cited
  • 2019Crowdsourced geospatial data quality: challenges and future directions135 cited
  • 2021Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London132 cited
  • 2017Region Representation Learning via Mobility Flow121 cited
  • 2022Estimating urban functional distributions with semantics preserved POI embedding121 cited
  • 2018Representing Urban Functions through Zone Embedding with Human Mobility Patterns119 cited

Cited by

  • 2024Urban Region Embedding via Multi-View Contrastive Prediction37 cited
  • 2024Learning context-aware region similarity with effective spatial normalization over Point-of-Interest data12 cited
  • 2025FlexiReg: Flexible Urban Region Representation Learning8 cited
  • 2025A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data3 cited

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