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Learning functional compositions of urban spaces with crowd-augmented travel survey data
16 references·1 citing·43 second hop
Learning functional compositions of urban spaces with crowd-augmented travel survey data (2015)Learning functional compositions of urban…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Inferring Urban Land Use Using Large-Scale Social Media Check-in Data (2014)Inferring Urban Land Use Usin…Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data (2014)Activity Recognition for a Sm…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Temporal decomposition and semantic \nenrichment of mobility flows (2013)Temporal decomposition and se…Placer (2013)PlacerWhen a city tells a story (2012)When a city tells a storyUrban area characterization based on crowd behavioral lifelogs over Twitter (2012)Urban area characterization b…Mining the semantics of origin-destination flows using taxi traces (2012)Mining the semantics of origi…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…Inferring land use from mobile phone activity (2012)Inferring land use from mobil…Clustering daily patterns of human activities in the city (2012)Clustering daily patterns of …Characterizing Urban Landscapes Using Geolocated Tweets (2012)Characterizing Urban Landscap…Urban Area Characterization Based on Semantics of Crowd Activities in Twitter (2011)Urban Area Characterization B…Revealing travel patterns and city structure with taxi trip dataRevealing travel patterns and…Multi-View Graph Contrastive Learning for Urban Region Representation (2023)Multi-View Graph Contrastive …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)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Discovering regions of different functions in a city using human mobility and POIs (2012)Real-time trip purpose prediction using online location-based search and discovery services (2017)Using Spatial Semantics and Interactions to Identify Urban Functional Regions (2018)Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)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)Optimization approaches for generalization and data abstraction (2005)Mapping the world's photos (2009)"I'm eating a sandwich in Glasgow" (2011)Spectral clustering for sensing urban land use using Twitter activity (2014)Detection and Resolution of Rumours in Social Media (2018)Population Bias in Geotagged Tweets (2021)Motivation and personality (1993)Motivation and Personality (1997)A review of urban computing for mobile phone traces (2013)Inferring patterns in the multi-week activity sequences of public transport users (2016)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)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)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Computational Social Science (2009)Cyber Cities: Social Media as a Tool for Understanding Cities (2015)“Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities? (2016)Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data (2018)The Death and Life of Great American Cities (2015)Urban magnetism through the lens of geo-tagged photography (2015)Central Places in Southern Germany (1967)Difference of urban development in China from the perspective of passenger transport around Spring Festival (2017)
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References

  • 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
  • 2012Inferring land use from mobile phone activity299 cited
  • 2012Land-Use Classification Using Taxi GPS Traces290 cited
  • 2012Clustering daily patterns of human activities in the city282 cited
  • n.d.Revealing travel patterns and city structure with taxi trip data246 cited
  • 2012Characterizing Urban Landscapes Using Geolocated Tweets200 cited
  • 2012Inferring land use from mobile phone activity113 cited
  • 2012When a city tells a story107 cited
  • 2014Inferring Urban Land Use Using Large-Scale Social Media Check-in Data102 cited
  • 2013Placer101 cited
  • 2012Urban area characterization based on crowd behavioral lifelogs over Twitter86 cited
  • 2011Urban Area Characterization Based on Semantics of Crowd Activities in Twitter62 cited
  • 2012Mining the semantics of origin-destination flows using taxi traces59 cited
  • 2013Temporal decomposition and semantic \nenrichment of mobility flows35 cited
  • 2014

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Activity Recognition for a Smartphone Based Travel Survey Based on Cross-User History Data
25 cited

Cited by

  • 2023Multi-View Graph Contrastive Learning for Urban Region Representation5 cited