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Discovering City Dynamics through Sports Tracking Applications
6 references·1 citing·28 second hop
Discovering City Dynamics through Sports Tracking Applications (2011)Discovering City Dynamics through Sports …Exploring place through user-generated content: Using Flickr to describe city cores (2010)Exploring place through user-…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Sampling urban mobility through on-line repositories of GPS tracks (2009)Sampling urban mobility throu…Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Digital Footprinting: Uncover…Bicycle cycles and mobility patterns - Exploring and characterizing data from a community bicycle program (2008)Bicycle cycles and mobility p…Acquisition of a vernacular gazetteer from web sources (2008)Acquisition of a vernacular g…Modelling Spatial Patterns of Outdoor Physical Activities Using Mobile Sports Tracking Application Data (2016)Modelling Spatial Patterns of…Reality mining: sensing complex social systems (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The scaling laws of human travel (2006)Citizens as sensors: the world of volunteered geography (2007)Why we tag (2007)Geographic Information Analysis (2010)Extracting and understanding urban areas of interest using geotagged photos (2015)Social media analytics for natural disaster management (2017)Social-media data for urban sustainability (2018)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)Endurance running and the evolution of Homo (2004)Targeted interest-driven advertising in cities using Twitter (2017)CHAPMAN AND HALL (1985)Modelling vague places with knowledge from the Web (2008)Similarity matching for integrating spatial information extracted from place descriptions (2016)Towards the Spatial Analysis of Vague and Imaginary Place and Space: Evolving the Spatial Humanities through Medieval Romance (2017)Exploring the Potential of Twitter to Understand Traffic Events and Their Locations in Greater Mumbai, India (2019)Urban Sprawl and Risk for Being Overweight or Obese (2004)Processing Raw Data from Global Positioning Systems without Additional Information (2009)Quality Assessment of the French OpenStreetMap Dataset (2010)Smart Mobility, the Role of Mobile Games (2017)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)
this work references cited by second hop

References

  • 2008Digital Footprinting: Uncovering Tourists with User-Generated Content470 cited
  • 2010Exploring place through user-generated content: Using Flickr to describe city cores328 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2008Acquisition of a vernacular gazetteer from web sources36 cited
  • 2009Sampling urban mobility through on-line repositories of GPS tracks17 cited
  • 2008Bicycle cycles and mobility patterns - Exploring and characterizing data from a community bicycle program10 cited

Cited by

  • 2016Modelling Spatial Patterns of Outdoor Physical Activities Using Mobile Sports Tracking Application Data7 cited

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