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A graph based approach for functional urban areas delineation
11 references·1 citing·39 second hop
A graph based approach for functional urban areas delineation (2019)A graph based approach for functional urb…Using Spatial Semantics and Interactions to Identify Urban Functional Regions (2018)Using Spatial Semantics and I…Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data (2018)Portraying Urban Functional Z…Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Mapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo) and Commercial Points of Interest Collections in Beijing, China (2016)Mapping Dynamic Urban Land Us…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing (2015)Discovering Functional Zones …A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai (2012)Urban land uses and traffic ‘…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Network-Based Functional Regions (2011)Network-Based Functional Regi…Revealing travel patterns and city structure with taxi trip dataRevealing travel patterns and…Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach (2025)Urban region function classif…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)Spatial Mismatch or Automobile Mismatch? An Examination of Race, Residence and Commuting in US Metropolitan Areas (1995)Spatial and Social Dimensions of Commuting (2000)Journal of Regional Science (2010)Belgium through the Lens of Rail Travel Requests: Does Geography Still Matter? (2016)Global spatial organisation of air transport: The definition of functional airline regions (2019)Revealing multi-scale spatial synergy of mega-city region from a human mobility perspective (2024)Cities and Housing. (1970)The scaling laws of human travel (2006)Modelling the scaling properties of human mobility (2010)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Uncovering urban human mobility from large scale taxi GPS data (2015)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)Friendship and mobility (2011)Identifying spatiotemporal urban activities through linguistic signatures (2018)Site Selection of Retail Shops Based on Spatial Accessibility and Hybrid BP Neural Network (2018)Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data (2019)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Natural Scales in Geographical Patterns (2017)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)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)Citizens as sensors: the world of volunteered geography (2007)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? (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)Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities (2020)Central Places in Southern Germany (1967)Difference of urban development in China from the perspective of passenger transport around Spring Festival (2017)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)
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References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
  • 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai423 cited
  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data399 cited
  • n.d.Revealing travel patterns and city structure with taxi trip data246 cited
  • 2011Network-Based Functional Regions134 cited
  • 2018Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data133 cited
  • 2018Using Spatial Semantics and Interactions to Identify Urban Functional Regions84 cited
  • 2016Mapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo) and Commercial Points of Interest Collections in Beijing, China76 cited
  • 2015Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing64 cited

Cited by

  • 2025Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach9 cited

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