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Predicting human mobility through the assimilation of social media traces into mobility models
16 references·16 citing·29 second hopsampled
Predicting human mobility through the assimilation of social media traces into mobility models (2016)Predicting human mobility through the ass…An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)An Empirical Study of Geograp…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Uncovering Patterns of Inter-…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…A universal model for mobility and migration patterns (2012)A universal model for mobilit…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)Structure of Urban Movements:…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Stacked Regressions (1996)Stacked RegressionsUrban Travel Demand: A Behavioral Analysis (1977)Urban Travel Demand: A Behavi…The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons (1946)The P 1 P 2 D Hypothesis: On …Intervening Opportunities: A Theory Relating Mobility and Distance (1940)Intervening Opportunities: A …The Laws of Migration (1885)The Laws of MigrationPredicting the network shift of large urban agglomerations in China using the deep-learning gravity model: A perspective of population migration (2023)Predicting the network shift …Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas (2022)Aggravated social segregation…On estimating the predictability of human mobility: the role of routine (2021)On estimating the predictabil…Data-Driven Computational Social Science: A Survey (2020)Data-Driven Computational Soc…Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data (2020)Analyzing Social-Geographic H…Trip distribution modeling with Twitter data (2019)Trip distribution modeling wi…Destination choice game: A spatial interaction theory on human mobility (2019)Destination choice game: A sp…Deciphering Predictability Limits in Human Mobility (2019)Deciphering Predictability Li…Inferring modes of transportation using mobile phone data (2018)Inferring modes of transporta…Enhancing Trip Distribution Prediction with Twitter Data (2018)Enhancing Trip Distribution P…Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr (2017)Quantifying Tourist Behavior …Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method (2017)Potentials of using social me…Estimating local commuting patterns from geolocated Twitter data (2017)Estimating local commuting pa…Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models (2017)Assessing the use of mobile p…Analyzing Refugee Migration Patterns Using Geo-tagged Tweets (2017)Analyzing Refugee Migration P…Characterizing International Travel Behavior from Geotagged Photos: A Case Study of Flickr (2016)Characterizing International …The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Reality mining: sensing complex social systems (2005)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)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Growth, innovation, scaling, and the pace of life in cities (2007)A survey of results on mobile phone datasets analysis (2015)A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences (1978)Built environments and mode choice: toward a normative framework (2002)How the built environment affects physical activity (2002)Push-Pull Migration Laws (1983)Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters (2019)Social physics (2022)The Intra-Urban Migration Process: A Perspective (1970)Research on Internal Migration in the United States: A Survey (2016)Methods For Combining Experts' Probability Assessments (1995)COMBINING FORECASTING PROCEDURES: SOME THEORETICAL RESULTS (2004)The ensemble approach to forecasting: A review and synthesis (2021)Methodological nationalism and beyond: nation–state building, migration and the social sciences (2002)Methodological Nationalism, the Social Sciences, and the Study of Migration: An Essay in Historical Epistemology (2003)Migration and Development: A Theoretical Perspective (2010)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 1885The Laws of Migration3,278 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 1996Stacked Regressions1,945 cited
  • 2012A universal model for mobility and migration patterns1,509 cited
  • 1977Urban Travel Demand: A Behavioral Analysis1,300 cited
  • 1940Intervening Opportunities: A Theory Relating Mobility and Distance1,089 cited
  • 1946The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons1,033 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2011Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows457 cited
  • 2014Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data393 cited

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  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • Cited by

    • 2020Data-Driven Computational Social Science: A Survey77 cited
    • 2019Trip distribution modeling with Twitter data74 cited
    • 2017Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr73 cited
    • 2017Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models70 cited
    • 2017Estimating local commuting patterns from geolocated Twitter data62 cited
    • 2016Characterizing International Travel Behavior from Geotagged Photos: A Case Study of Flickr58 cited
    • 2017Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method58 cited
    • 2023Predicting the network shift of large urban agglomerations in China using the deep-learning gravity model: A perspective of population migration57 cited
    • 2019Destination choice game: A spatial interaction theory on human mobility51 cited
    • 2018Inferring modes of transportation using mobile phone data45 cited
    • 2017Analyzing Refugee Migration Patterns Using Geo-tagged Tweets44 cited
    • 2020Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data39 cited
    • 2022Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas37 cited
    • 2018Enhancing Trip Distribution Prediction with Twitter Data36 cited
    • 2021On estimating the predictability of human mobility: the role of routine34 cited
    • 2019Deciphering Predictability Limits in Human Mobility31 cited