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Identification of Urban Functional Zones Considering Point of Interest Differences: A Case Study of Nanjing City
15 references·0 citing·46 second hopsampled
Identification of Urban Functional Zones Considering Point of Interest Differences: A Case Study of Nanjing City (2025)Identification of Urban Functional Zones …Spatial heterogeneity in the urban household living conditions: A-GIS-based spatial analysis (2024)Spatial heterogeneity in the …Integrating Point-of-Interest Density and Spatial Heterogeneity to Identify Urban Functional Areas (2022)Integrating Point-of-Interest…GIS and urban data science (2022)GIS and urban data scienceA framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method (2022)A framework for urban land us…Point-of-Interest (POI) Data Validation Methods: An Urban Case Study (2021)Point-of-Interest (POI) Data …Classification Schemes and Identification Methods for Urban Functional Zone: A Review of Recent Papers (2021)Classification Schemes and Id…Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest (2021)Block2vec: An Approach for Id…Analyzing Urban Spatial Patterns and Functional Zones Using Sina Weibo POI Data: A Case Study of Beijing (2021)Analyzing Urban Spatial Patte…A GloVe-Based POI Type Embedding Model for Extracting and Identifying Urban Functional Regions (2021)A GloVe-Based POI Type Embedd…Visualizing and exploring POI configurations of urban regions on POI-type semantic space (2020)Visualizing and exploring POI…Co-location Pattern Mining of Geosocial Data to Characterize Urban Functional Spaces (2019)Co-location Pattern Mining of…Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Beyond Word2vec: An approach …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 …Process Map for Urban-Human Mobility and Civil Infrastructure Data Collection Using Geosocial Networking Platforms (2015)Process Map for Urban-Human M…MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Power-Law Distributions in Empirical Data (2009)Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster (2016)Coupling sentiment and human mobility in natural disasters: a Twitter-based study of the 2014 South Napa Earthquake (2018)Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study (2018)Power-law distributions in empirical data (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)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Classifying urban land use by integrating remote sensing and social media data (2017)Passive crowdsourcing of social media in environmental research: A systematic map (2019)Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)Natural Scales in Geographical Patterns (2017)Natural Scales in Geographical Patterns (2017)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Unsupervised machine learning in urban studies: A systematic review of applications (2022)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Machine learning for spatial analyses in urban areas: a scoping review (2022)Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future (2022)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Which environmental features contribute to positive and negative perceptions of urban parks? A cross-cultural comparison using online reviews and Natural Language Processing methods (2021)URBAN SPATIAL STRUCTURE. (1997)Citizens as sensors: the world of volunteered geography (2007)Urban Spatial Structure (2010)Urban Functional Zone Classification Based on POI Data and Machine Learning (2023)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)Semantic-Enhanced Graph Convolutional Neural Networks for Multi-Scale Urban Functional-Feature Identification Based on Human Mobility (2024)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Conflating point of interest (POI) data: A systematic review of matching methods (2023)The effects of urban land use on energy-related CO2 emissions in China (2023)Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Urban Area Characterization and Structure Analysis: A Combined Data-Driven Approach by Remote Sensing Information and Spatial–Temporal Wireless Data (2023)Refined Identification of Urban Functional Zones Integrating Multisource Data Features: A Case Study of Lanzhou, China (2024)The Nonlinear Relationship and Synergistic Effects between Built Environment and Urban Vitality at the Neighborhood Scale: A Case Study of Guangzhou’s Central Urban Area (2024)The Analysis of Spatial Association by Use of Distance Statistics (1992)PLS-SEM: Indeed a Silver Bullet (2011)The Truly Disadvantaged (2012)A GIS-based Evaluation of Urban Livability using Factor Analysis and a Combination of Environmental and Socio-economic Indicators (2024)Multidimensional spatial inequality in China and its relationship with economic growth (2024)Spatial Accessibility to Healthcare Facilities: GIS-Based Public–Private Comparative Analysis Using Floating Catchment Methods (2025)
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References

  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks482 cited
  • 2016Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method274 cited
  • 2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs261 cited
  • 2020Visualizing and exploring POI configurations of urban regions on POI-type semantic space150 cited
  • 2022A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method104 cited
  • 2021Classification Schemes and Identification Methods for Urban Functional Zone: A Review of Recent Papers95 cited
  • 2021Analyzing Urban Spatial Patterns and Functional Zones Using Sina Weibo POI Data: A Case Study of Beijing75 cited
  • 2022Integrating Point-of-Interest Density and Spatial Heterogeneity to Identify Urban Functional Areas73 cited
  • 2024Spatial heterogeneity in the urban household living conditions: A-GIS-based spatial analysis70 cited
  • 2015Process Map for Urban-Human Mobility and Civil Infrastructure Data Collection Using Geosocial Networking Platforms64 cited
  • 2021Point-of-Interest (POI) Data Validation Methods: An Urban Case Study62 cited
  • 2021Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest47 cited

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2021
A GloVe-Based POI Type Embedding Model for Extracting and Identifying Urban Functional Regions
31 cited
  • 2022GIS and urban data science11 cited
  • 2019Co-location Pattern Mining of Geosocial Data to Characterize Urban Functional Spaces5 cited
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