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Urban human mobility data mining: An overview
16 references·16 citing·27 second hopsampled
Urban human mobility data mining: An overview (2016)Urban human mobility data mining: An over…Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Urban Sensing Using Mobile Ph…Unraveling the origin of exponential law in intra-urban human mobility (2013)Unraveling the origin of expo…Diversity of individual mobility patterns and emergence of aggregated scaling laws (2013)Diversity of individual mobil…Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…A universal model for mobility and migration patterns (2012)A universal model for mobilit…Urban computing with taxicabs (2011)Urban computing with taxicabsThe scaling of human mobility by taxis is exponential (2011)The scaling of human mobility…Towards rich mobile phone datasets: Lausanne data collection campaign (2010)Towards rich mobile phone dat…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Characterizing the human mobility pattern in a large street network (2009)Characterizing the human mobi…Understanding individual human mobility patterns (2008)Understanding individual huma…The scaling laws of human travel (2006)The scaling laws of human tra…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …The Laws of Migration (1885)The Laws of MigrationUrban park accessibility assessment using human mobility data: a systematic review (2024)Urban park accessibility asse…Human mobility reshaped? Deciphering the impacts of the Covid-19 pandemic on activity patterns, spatial habits, and schedule habits (2024)Human mobility reshaped? Deci…Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China (2023)Exploring intra-urban human m…COVID-19 is linked to changes in the time–space dimension of human mobility (2023)COVID-19 is linked to changes…Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)Zooming into mobility to unde…scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)scikit-mobility : A Python Li…Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability (2022)Beyond The Limits of Predicta…Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility (2022)Assessing Reliability of Chin…Sensing and Forecasting Crowd Distribution in Smart Cities: Potentials and Approaches (2021)Sensing and Forecasting Crowd…GCN2CDD: A Commercial District Discovery Framework via Embedding Space Clustering on Graph Convolution Networks (2021)GCN2CDD: A Commercial Distric…A Survey on Deep Learning for Human Mobility (2021)A Survey on Deep Learning for…Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN (2020)Visualization, Spatiotemporal…Deep Learning for Human Mobility: a Survey on Data and Models. (2020)Deep Learning for Human Mobil…Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data (2020)Activity knowledge discovery:…Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications (2019)Systematic Review of the Lite…Extraction and monitoring approach of dynamic urban commercial area using check-in data from Weibo (2018)Extraction and monitoring app…The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)Understanding mobility based on GPS data (2008)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Understanding the tourist mobility using GPS: Where is the next place? (2016)Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Growth, innovation, scaling, and the pace of life in cities (2007)Geo-located Twitter as proxy for global mobility patterns (2014)A survey of results on mobile phone datasets analysis (2015)Human mobility: Models and applications (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Social signal processing: Survey of an emerging domain (2008)Inferring friendship network structure by using mobile phone data (2009)Modelling the scaling properties of human mobility (2010)Understanding intra-urban trip patterns from taxi trajectory data (2012)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Revealing travel patterns and city structure with taxi trip data (2015)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)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
  • 2005Reality mining: sensing complex social systems2,771 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 2012A universal model for mobility and migration patterns1,509 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2011Urban computing with taxicabs529 cited
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2014Urban Sensing Using Mobile Phone Network Data: A Survey of Research334 cited
  • 2009Characterizing the human mobility pattern in a large street network296 cited
  • 2010Towards rich mobile phone datasets: Lausanne data collection campaign278 cited
  • 2011The scaling of human mobility by taxis is exponential239 cited
  • 2013Unraveling the origin of exponential law in intra-urban human mobility165 cited
  • 2013Diversity of individual mobility patterns and emergence of aggregated scaling laws

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159 cited

Cited by

  • 2019Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications126 cited
  • 2022scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data102 cited
  • 2023COVID-19 is linked to changes in the time–space dimension of human mobility71 cited
  • 2022Zooming into mobility to understand cities: A review of mobility-driven urban studies58 cited
  • 2018Extraction and monitoring approach of dynamic urban commercial area using check-in data from Weibo48 cited
  • 2022Beyond The Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability39 cited
  • 2023Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China29 cited
  • 2021A Survey on Deep Learning for Human Mobility29 cited
  • 2024Human mobility reshaped? Deciphering the impacts of the Covid-19 pandemic on activity patterns, spatial habits, and schedule habits28 cited
  • 2020Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN26 cited
  • 2024Urban park accessibility assessment using human mobility data: a systematic review25 cited
  • 2020Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data24 cited
  • 2021Sensing and Forecasting Crowd Distribution in Smart Cities: Potentials and Approaches23 cited
  • 2021GCN2CDD: A Commercial District Discovery Framework via Embedding Space Clustering on Graph Convolution Networks22 cited
  • 2022Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility21 cited
  • 2020Deep Learning for Human Mobility: a Survey on Data and Models.20 cited