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Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities
12 references·14 citing·39 second hop
Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities (2020)Recognizing urban functional zones by a h…Using Spatial Semantics and Interactions to Identify Urban Functional Regions (2018)Using Spatial Semantics and I…Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Beyond Word2vec: An approach …A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data (2018)A framework for mixed-use dec…Integrating multi-source big data to infer building functions (2017)Integrating multi-source big …Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data (2016)Latent spatio-temporal activi…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Inferring Urban Land Use Using Large-Scale Social Media Check-in Data (2014)Inferring Urban Land Use Usin…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Land-Use Classification Using Taxi GPS Traces (2012)Land-Use Classification Using…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Revealing Urban Spatial Interaction Characteristics and Crowd Travel Patterns from Trajectory Data (2025)Revealing Urban Spatial Inter…Revealing the hierarchical overlapping urban structure using taxi trajectory data (2025)Revealing the hierarchical ov…Modular Design Strategies for Community Public Spaces in the Context of Rapid Urban Transformation: Balancing Spatial Efficiency and Cultural Continuity (2025)Modular Design Strategies for…Quantitative Identification of Mixed Urban Functions: A Probabilistic Approach Based on Physical and Social Sensing Data (2024)Quantitative Identification o…Evaluating Spatial Accessibility to COVID-19 Vaccination Sites based on Fine-Scale Population Distributions and Heterogeneous Travel Modes: A Case Study in Xiangtan, China (2024)Evaluating Spatial Accessibil…Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data (2024)Adaptive weighted multi-view …A novel dynamic quantification model for diurnal urban land use intensity (2024)A novel dynamic quantificatio…Exploring Crowd Travel Demands Based on the Characteristics of Spatiotemporal Interaction between Urban Functional Zones (2023)Exploring Crowd Travel Demand…A Novel Graph-Based Framework for Classifying Urban Functional Zones with Multisource Data and Human Mobility Patterns (2023)A Novel Graph-Based Framework…URBAN FUNCTIONAL DISTRICT IDENTIFICATION AND ANALYSIS FROM MULTI-SOURCE DATA (2022)URBAN FUNCTIONAL DISTRICT IDE…Understanding railway usage behavior with ten million GPS records (2022)Understanding railway usage b…Mining hourly population dynamics by activity type based on decomposition of sequential snapshot data (2022)Mining hourly population dyna…Exploring spatiotemporal patterns of geosocial media data for urban functional zone identification (2022)Exploring spatiotemporal patt…Tempo‐spatial variability of urban leisure functional zones: An analysis based on geo‐big data (2021)Tempo‐spatial variability of …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)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Urban computing with taxicabs (2011)Uncovering urban human mobility from large scale taxi GPS data (2015)Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations (2018)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)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)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)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)Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Tobler's First Law and Spatial Analysis (2004)A multi‐modal transportation data‐driven approach to identify urban functional zones: An exploration based on Hangzhou City, China (2019)Sensing multiple semantics of urban space from crowdsourcing positioning data (2019)Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest (2021)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Visualizing and exploring POI configurations of urban regions on POI-type semantic space (2020)Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)Real-time trip purpose prediction using online location-based search and discovery services (2017)Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Understanding the spatial organization of urban functions based on co-location patterns mining: A comparative analysis for 25 Chinese cities (2019)A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development (2020)Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China (2021)
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References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 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
  • 2012Inferring land use from mobile phone activity299 cited
  • 2012Land-Use Classification Using Taxi GPS Traces290 cited
  • 2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs258 cited
  • 2017Integrating multi-source big data to infer building functions106 cited
  • 2014Inferring Urban Land Use Using Large-Scale Social Media Check-in Data102 cited
  • 2018Using Spatial Semantics and Interactions to Identify Urban Functional Regions84 cited
  • 2016Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data70 cited
  • 2018A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data67 cited

Cited by

  • 2023A Novel Graph-Based Framework for Classifying Urban Functional Zones with Multisource Data and Human Mobility Patterns32 cited

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  • 2022Exploring spatiotemporal patterns of geosocial media data for urban functional zone identification18 cited
  • 2023Exploring Crowd Travel Demands Based on the Characteristics of Spatiotemporal Interaction between Urban Functional Zones16 cited
  • 2024A novel dynamic quantification model for diurnal urban land use intensity16 cited
  • 2024Quantitative Identification of Mixed Urban Functions: A Probabilistic Approach Based on Physical and Social Sensing Data16 cited
  • 2021Tempo‐spatial variability of urban leisure functional zones: An analysis based on geo‐big data14 cited
  • 2022Mining hourly population dynamics by activity type based on decomposition of sequential snapshot data13 cited
  • 2022Understanding railway usage behavior with ten million GPS records11 cited
  • 2024Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data7 cited
  • 2025Revealing Urban Spatial Interaction Characteristics and Crowd Travel Patterns from Trajectory Data6 cited
  • 2025Modular Design Strategies for Community Public Spaces in the Context of Rapid Urban Transformation: Balancing Spatial Efficiency and Cultural Continuity5 cited
  • 2024Evaluating Spatial Accessibility to COVID-19 Vaccination Sites based on Fine-Scale Population Distributions and Heterogeneous Travel Modes: A Case Study in Xiangtan, China4 cited
  • 2022URBAN FUNCTIONAL DISTRICT IDENTIFICATION AND ANALYSIS FROM MULTI-SOURCE DATA3 cited
  • 2025Revealing the hierarchical overlapping urban structure using taxi trajectory data2 cited