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The use of public spaces in a medium-sized city: from Twitter data to mobility patterns
12 references·3 citing·47 second hop
The use of public spaces in a medium-sized city: from Twitter data to mobility patterns (2017)The use of public spaces in a medium-size…Spatialities of data: mapping social media ‘beyond the geotag’ (2016)Spatialities of data: mapping…Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information (2015)Social Media and the City: Re…Scaling of City Attractiveness for Foreign Visitors through Big Data of Human Economical and Social Media Activity (2015)Scaling of City Attractivenes…Multi-scale population and mobility estimation with geo-tagged Tweets (2015)Multi-scale population and mo…Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data (2015)Modeling and Visualizing Regu…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr (2013)Spatial, temporal, and socioe…Mapping the global Twitter heartbeat: The geography of Twitter (2013)Mapping the global Twitter he…GeoDa: An Introduction to Spatial Data Analysis (2009)GeoDa: An Introduction to Spa…Crecimiento urbano y globalización: transformaciones del Área Metropolitana de Concepción, Chile, 1992-2002 (2007)Crecimiento urbano y globaliz…World Urbanization Prospects (2005)World Urbanization ProspectsGeoDa : An Introduction to Spatial Data Analysis (2005)GeoDa : An Introduction to Sp…Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid (2024)Recovering urban nightlife: C…Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway (2024)Georeferenced X (formerly twi…Mapping Gated Communities (2020)Mapping Gated CommunitiesHuman behavior and the principle of least effort (1949)Growth, innovation, scaling, and the pace of life in cities (2007)Understanding individual human mobility patterns (2008)Cities through the Prism of People’s Spending Behavior (2016)Structure of 311 service requests as a signature of urban location (2017)Analyzing and visualizing the spatial interactions between tourists and locals: A Flickr study in ten US cities (2018)The Hypothesis of the Mobility Transition (1971)Urban Growth in Developing Countries: A Review of Current Trends and a Caution Regarding Existing Forecasts (2003)Reducing Disaster Risk: a challenge for development (2004)The ‘Urban Age’ in Question (2013)The Age of Migration (1998)Friendship and mobility (2011)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Interactive Spatial Data Analysis (1995)How Good is Volunteered Geographical Information? 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Insights from Lodz, Poland (2018)Placing volunteered geographic health information: Socio-spatial bias in 311 bed bug report data for New York City (2020)Citizens as sensors: the world of volunteered geography (2007)Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS (2015)Ten simple rules for responsible big data research (2017)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Estimation Methods for Models of Spatial Interaction (1975)Spatial Dependence in linear Regression Models with an Introduction to Spatial Econometrics (1998)On the use of ZIP codes and ZIP code tabulation areas (ZCTAs) for the spatial analysis of epidemiological data. (2006)PySAL: A Python Library of Spatial Analytical Methods (2007)Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston (2023)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Spontaneous Collective Action: Peripheral Mobilization During the Arab Spring (2017)Social Media data: Challenges, opportunities and limitations in urban studies (2018)
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References

  • 2005GeoDa : An Introduction to Spatial Data Analysis2,566 cited
  • 2005World Urbanization Prospects1,746 cited
  • 2009GeoDa: An Introduction to Spatial Data Analysis722 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2013Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr420 cited
  • 2015Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information388 cited
  • 2013Mapping the global Twitter heartbeat: The geography of Twitter379 cited
  • 2015Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data97 cited
  • 2015Scaling of City Attractiveness for Foreign Visitors through Big Data of Human Economical and Social Media Activity81 cited
  • 2016Spatialities of data: mapping social media ‘beyond the geotag’45 cited
  • 2015Multi-scale population and mobility estimation with geo-tagged Tweets28 cited
  • 2007Crecimiento urbano y globalización: transformaciones del Área Metropolitana de Concepción, Chile, 1992-200215 cited

Cited by

  • 2024Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid8 cited
  • 2024Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway

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4 cited
  • 2020Mapping Gated Communities3 cited