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Understanding the dynamics of urban areas of interest through volunteered geographic information
16 references·16 citing·41 second hopsampled
Understanding the dynamics of urban areas of interest through volunteered geographic information (2018)Understanding the dynamics of urban areas…Data ex Machina: Introduction to Big Data (2017)Data ex Machina: Introduction…The geography of Twitter topics in London (2016)The geography of Twitter topi…Processing Social Media Messages in Mass Emergency (2015)Processing Social Media Messa…Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Mining point-of-interest data…Extracting and understanding urban areas of interest using geotagged photos (2015)Extracting and understanding …A Survey of Digital Map Processing Techniques (2014)A Survey of Digital Map Proce…Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr (2013)Spatial, temporal, and socioe…Accidental, open and everywhere: Emerging data sources for the understanding of cities (2013)Accidental, open and everywhe…Mining Travel Patterns from Geotagged Photos (2012)Mining Travel Patterns from G…Geographic Information Analysis (2010)Geographic Information Analys…Exploring place through user-generated content: Using Flickr to describe city cores (2010)Exploring place through user-…Mapping the world's photos (2009)Mapping the world's photosCitizens as sensors: the world of volunteered geography (2007)Citizens as sensors: the worl…In the nature of cities urban political ecology and the politics of urban metabolism (2006)In the nature of cities urban…Geographic Information Analysis (2005)Geographic Information Analys…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…A complex network analysis of urban human mobility in Tokyo (2025)A complex network analysis of…Vivid London: Assessing the resilience of urban vibrancy during the COVID-19 pandemic using social media data (2024)Vivid London: Assessing the r…Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments (2024)Mapping Great Britain's seman…GIScience I: The rise, fragmentation, and future of VGI (2024)GIScience I: The rise, fragme…A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies (2024)A data-driven clustering appr…Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data (2023)Exploring public sentiment an…Cooperating and competing for land-based interests in the growth coalition of market-oriented urban redevelopment: The case of Longsheng village, Shenzhen (2023)Cooperating and competing for…Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content (2023)Content-location relationship…Cities for citizens! Public value spheres for understanding conflicts in urban planning (2023)Cities for citizens! Public v…Measuring the local complementarity of population, amenities and digital activities to identify and understand urban areas of interest (2022)Measuring the local complemen…Spatial sensitivity analysis for urban hotspots using cell phone traces (2021)Spatial sensitivity analysis …Social Media Data Collection and Quality for Urban Studies (2021)Social Media Data Collection …Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City (2021)Identifying and understanding…A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo (2021)A machine learning-based appr…Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognition (2020)Quantifying the Characteristi…Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest (2019)Using Volunteered Geographic …Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)AIMQ: a methodology for information quality assessment (2002)Data quality assessment (2002)Toward a Theory of Situation Awareness in Dynamic Systems (1995)Disasters by Design: A Reassessment of Natural Hazards in the United States (1999)Microblogging during two natural hazards events (2010)Fifteen years of social media in emergencies: A retrospective review and future directions for crisis Informatics (2017)Detection and Resolution of Rumours in Social Media (2018)Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management (2019)Interactive Spatial Data Analysis (1995)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Twitter mood predicts the stock market (2011)Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information (2015)Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas (2017)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Quantitative geography : perspectives on spatial data analysis (2000)Using the fuzzy majority approach for GIS-based multicriteria group decision-making (2009)It’s the Local Economy, Stupid! Geographic Wealth Dispersion and Conflict Outbreak Location (2011)Spatial Optimization in Geography (2012)A comparison of string distance metrics for name-matching tasks (2003)Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice (2011)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Social Media data: Challenges, opportunities and limitations in urban studies (2018)The ghost map : the story of London's most terrifying epidemic--and how it changed science, cities, and the modern world (2007)Crowdsourcing geographic information for disaster response: a research frontier (2010)Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation (2012)Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS (2007)Modelling vague places with knowledge from the Web (2008)Activity space environment and dietary and physical activity behaviors: A pilot study (2011)You are where you tweet (2010)Friendship and mobility (2011)Measuring human perceptions of a large-scale urban region using machine learning (2018)Travel mode detection based on GPS track data and Bayesian networks (2015)Social media for intelligent public information and warning in disasters: An interdisciplinary review (2019)The Political Ecology of Uneven Urban Green Space (2006)Collective culture and urban public space (2008)The Political Economy and Political Ecology of the Hydro‐Social Cycle (2009)
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References

  • 1996Beyond Accuracy: What Data Quality Means to Data Consumers4,663 cited
  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2010Geographic Information Analysis1,064 cited
  • 2006In the nature of cities urban political ecology and the politics of urban metabolism813 cited
  • 2015Processing Social Media Messages in Mass Emergency800 cited
  • 2009Mapping the world's photos782 cited
  • 2014A Survey of Digital Map Processing Techniques694 cited
  • 2005Geographic Information Analysis601 cited
  • 2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr420 cited
  • 2015Mining point-of-interest data from social networks for urban land use classification and disaggregation337 cited
  • 2010Exploring place through user-generated content: Using Flickr to describe city cores328 cited
  • 2015Extracting and understanding urban areas of interest using geotagged photos310 cited
  • 2017Data ex Machina: Introduction to Big Data304 cited
  • 2012Mining Travel Patterns from Geotagged Photos229 cited
  • 2016The geography of Twitter topics in London211 cited

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2013
Accidental, open and everywhere: Emerging data sources for the understanding of cities
201 cited

Cited by

  • 2019Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest58 cited
  • 2021Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City49 cited
  • 2020Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognition31 cited
  • 2023Cities for citizens! Public value spheres for understanding conflicts in urban planning28 cited
  • 2024Vivid London: Assessing the resilience of urban vibrancy during the COVID-19 pandemic using social media data28 cited
  • 2024A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies24 cited
  • 2021A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo19 cited
  • 2023Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data16 cited
  • 2021Spatial sensitivity analysis for urban hotspots using cell phone traces13 cited
  • 2023Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content12 cited
  • 2023Cooperating and competing for land-based interests in the growth coalition of market-oriented urban redevelopment: The case of Longsheng village, Shenzhen11 cited
  • 2024Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments11 cited
  • 2021Social Media Data Collection and Quality for Urban Studies10 cited
  • 2024GIScience I: The rise, fragmentation, and future of VGI9 cited
  • 2022Measuring the local complementarity of population, amenities and digital activities to identify and understand urban areas of interest8 cited
  • 2025A complex network analysis of urban human mobility in Tokyo5 cited