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Identifying spatiotemporal urban activities through linguistic signatures
16 references·16 citing·41 second hopsampled
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References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 1962The Death and Life of Great American Cities9,083 cited
  • 2015The Death and Life of Great American Cities8,033 cited
  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 2011Comparing Twitter and Traditional Media Using Topic Models1,214 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2001Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data394 cited
  • 2012Informal urbanism and complex adaptive assemblage289 cited
  • 2016The geography of Twitter topics in London211 cited
  • 2014Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio201 cited
  • 2012Characterizing Urban Landscapes Using Geolocated Tweets200 cited
  • 2013Spatial topic modeling in online social media for location recommendation198 cited
  • 2010Using experienced activity spaces to measure foodscape exposure175 cited
  • 2015Geo-temporal Twitter demographics

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112 cited
  • 2011What you are is when you are109 cited
  • Cited by

    • 2022Social Media Data in Urban Design and Landscape Research: A Comprehensive Literature Review44 cited
    • 2021Exploring the Spatiotemporal Patterns of Residents’ Daily Activities Using Text-Based Social Media Data: A Case Study of Beijing, China41 cited
    • 2022A data-driven perspective for sensing urban functional images: Place-based evidence in Hong Kong25 cited
    • 2020Exploring Travel Patterns during the Holiday Season—A Case Study of Shenzhen Metro System During the Chinese Spring Festival24 cited
    • 2022Mapping urban linguistic diversity with social media and population register data22 cited
    • 2022Demography-Oriented Urban Spatial Matching of Service Facilities: Case Study of Changchun, China22 cited
    • 2021Identifying and characterizing popular non-work destinations by clustering cellphone and point-of-interest data19 cited
    • 2022Modeling activity spaces using big geo‐data: Progress and challenges19 cited
    • 2022Metagraph-Based Life Pattern Clustering With Big Human Mobility Data18 cited
    • 2020Social Activity in Gothenburg’s Intermediate City: Mapping Third Places through Social Media Data18 cited
    • 2020Role of Urban Big Data in Travel Behavior Research17 cited
    • 2019Types and Characteristics Analysis of Human Dynamics in Seoul Using Location- Based Big Data15 cited
    • 2023Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content12 cited
    • 2021Methods of Social Sensing for Urban Studies9 cited
    • 2024A Semantically Enhanced Label Prediction Method for Imbalanced POI Data Category Distribution6 cited
    • 2026Unveiling Individual Climate Behaviors Through Digital Text: A Scoping Review of Natural Language Processing Methods1 cited