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Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago
16 references·16 citing·33 second hopsampled
Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago (2016)Explore spatiotemporal and demographic ch…Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Is the Sample Good Enough? Co…Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…Understanding Human Mobility from Twitter (2015)Understanding Human Mobility …Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Friendship and mobility (2011)Friendship and mobilityUnderstanding individual human mobility patterns (2009)Understanding individual huma…Understanding individual human mobility patterns (2008)Understanding individual huma…The scaling laws of human travel (2006)The scaling laws of human tra…The origin of bursts and heavy tails in human dynamics (2005)The origin of bursts and heav…Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set (2000)Interactive geovisualization …Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework (1998)Space‐Time and Integral Measu…Modelling accessibility using space-time prism concepts within geographical information systems (1991)Modelling accessibility using…What about people in Regional Science? (1970)What about people in Regional…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)WHAT ABOUT PEOPLE IN REGIONAL…Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data (2023)Understanding temporal and sp…Uncovering the socioeconomic facets of human mobility (2021)Uncovering the socioeconomic …Urban Mobility and Activity Space (2020)Urban Mobility and Activity S…Understanding livable dense urban form for social activities in transit-oriented development through human-scale measurements (2020)Understanding livable dense u…Social media for enhanced understanding of disaster resilience during Hurricane Florence (2020)Social media for enhanced und…Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)Crowdsourced Data Mining for …A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development (2020)A Review of Human Mobility Re…Social media and urban mobility: Using twitter to calculate home-work travel matrices (2019)Social media and urban mobili…Inferring demographics from human trajectories and geographical context (2019)Inferring demographics from h…Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Urban mobility and neighborho…Tracking job and housing dynamics with smartcard data (2018)Tracking job and housing dyna…Mining location from social media: A systematic review (2018)Mining location from social m…Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis (2018)Access and egress times to hi…Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data (2017)Depicting urban boundaries fr…City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)City dynamics through Twitter…Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity (2016)Leveraging geotagged Twitter …Empirical study of topic modeling in Twitter (2010)Twitter use in election campaigns: A systematic literature review (2015)Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)A Survey on Bias and Fairness in Machine Learning (2021)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The Single Server Queue (1983)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Robust dynamic classes revealed by measuring the response function of a social system (2008)Limits of Predictability in Human Mobility (2010)How Accessibility Shapes Land Use (1959)Measuring Accessibility: An Exploration of Issues and Alternatives (1997)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Spatial accessibility of primary care: concepts, methods and challenges (2004)An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians (2009)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)Space and Place: The Perspective of Experience. (1978)Citizens as sensors: the world of volunteered geography (2007)Crowdsourcing geographic information for disaster response: a research frontier (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Measuring human perceptions of a large-scale urban region using machine learning (2018)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)International Encyclopedia of Unified Science (1937)Accessibility, equity and health care: review and research directions for transport geographers (2015)Geographical and Temporal Weighted Regression (GTWR) (2015)A universal model for mobility and migration patterns (2012)Human mobility: Models and applications (2018)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 1970WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?3,414 cited
  • 2011Friendship and mobility2,912 cited
  • 2005The origin of bursts and heavy tails in human dynamics2,260 cited
  • 2006The scaling laws of human travel2,207 cited
  • 1970What about people in Regional Science?1,584 cited
  • 1998Space‐Time and Integral Measures of Individual Accessibility: A Comparative Analysis Using a Point‐based Framework1,152 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 1991Modelling accessibility using space-time prism concepts within geographical information systems680 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2015Understanding Human Mobility from Twitter558 cited
  • 2009Understanding individual human mobility patterns484 cited

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  • 2000Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set460 cited
  • Cited by

    • 2018Urban mobility and neighborhood isolation in America’s 50 largest cities404 cited
    • 2018Tracking job and housing dynamics with smartcard data193 cited
    • 2020Urban Mobility and Activity Space169 cited
    • 2017City dynamics through Twitter: Relationships between land use and spatiotemporal demographics117 cited
    • 2017Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data113 cited
    • 2020Social media for enhanced understanding of disaster resilience during Hurricane Florence103 cited
    • 2018Mining location from social media: A systematic review102 cited
    • 2021Uncovering the socioeconomic facets of human mobility99 cited
    • 2020A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development98 cited
    • 2020Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods97 cited
    • 2016Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity85 cited
    • 2019Social media and urban mobility: Using twitter to calculate home-work travel matrices79 cited
    • 2023Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data79 cited
    • 2019Inferring demographics from human trajectories and geographical context67 cited
    • 2020Understanding livable dense urban form for social activities in transit-oriented development through human-scale measurements67 cited
    • 2018Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis64 cited