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Station-to-User Transfer Learning
16 references·0 citing·43 second hop
Station-to-User Transfer Learning (2020)Station-to-User Transfer LearningUrban Human Mobility (2019)Urban Human MobilityUnderstanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization (2019)Understanding Urban Dynamics …Where You Really Are: User Trip Based City Functional Zone Ascertainment (2018)Where You Really Are: User Tr…Identification of tidal-traffic patterns in metro-area mobile networks via Matrix Factorization based model (2017)Identification of tidal-traff…Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes (2017)Human Mobility Synchronizatio…Daily metro origin-destination pattern recognition using dimensionality reduction and clustering methods (2017)Daily metro origin-destinatio…Smart card in public transportation: Designing a analysis system at the human scale (2016)Smart card in public transpor…Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization (2016)Mining Ticketing Logs for Usa…A mixture model clustering approach for temporal passenger pattern characterization in public transport (2015)A mixture model clustering ap…Supporting large-scale travel surveys with smartphones – A practical approach (2013)Supporting large-scale travel…On the importance of temporal dynamics in modeling urban activity (2013)On the importance of temporal…Human mobility characterization from cellular network data (2013)Human mobility characterizati…Exploring spatiotemporal characteristics of intra-urban trips using metro smartcard records (2012)Exploring spatiotemporal char…Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen (2009)Understanding individual and …Celebrating the third place : inspiring stories about the "great good places" at the heart of our communities (2001)Celebrating the third place :…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Big Data Integration (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Nonresponse in Household Interview Surveys (1999)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)Understanding mobility based on GPS data (2008)Discovering urban activity patterns in cell phone data (2015)Smartphone GPS tracking—Inexpensive and efficient data collection on recreational movement (2016)Applying mobile phone data to travel behaviour research: A literature review (2017)Friendship and mobility (2011)Analyzing temporal characteristics of check-in data (2014)ReAct (2017)Revealing Urban Dynamics by Learning Online and Offline Behaviours Together (2019)The social life of small urban spaces (1980)The scaling laws of human travel (2006)Detecting the dynamics of urban structure through spatial network analysis (2014)Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data (2016)Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns (2019)Driving with knowledge from the physical world (2011)Measuring social functions of city regions from large-scale taxi behaviors (2011)Urban computing with taxicabs (2011)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Urban Computing (2014)Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model (2016)A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)CEPR (2015)DeepCrime (2018)Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes (2018)Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation (2019)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems (2021)Analysis of mobility patterns for urban taxi ridership: the role of the built environment (2023)Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction (2023)A Deep Gravity model for mobility flows generation (2021)A Survey on Deep Learning for Human Mobility (2021)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)Conceptualizing the healthscape: Contributions of time geography, location technologies and spatial ecology to place and health research (2009)Third Places and the Social Life of Streets (2009)Smart city or smart citizens? The Barcelona case (2015)
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References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,151 cited
  • 2001Celebrating the third place : inspiring stories about the "great good places" at the heart of our communities366 cited
  • 2013Human mobility characterization from cellular network data315 cited
  • 2013Supporting large-scale travel surveys with smartphones – A practical approach154 cited
  • 2019Urban Human Mobility111 cited
  • 2009Understanding individual and collective mobility patterns from smart card records: A case study in Shenzhen106 cited
  • 2019Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization74 cited
  • 2017Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes69 cited
  • 2017Identification of tidal-traffic patterns in metro-area mobile networks via Matrix Factorization based model33 cited
  • 2013On the importance of temporal dynamics in modeling urban activity30 cited
  • 2012Exploring spatiotemporal characteristics of intra-urban trips using metro smartcard records30 cited
  • 2016Mining Ticketing Logs for Usage Characterization with Nonnegative Matrix Factorization23 cited
  • 2017Daily metro origin-destination pattern recognition using dimensionality reduction and clustering methods21 cited
  • 2015A mixture model clustering approach for temporal passenger pattern characterization in public transport

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14 cited
  • 2016Smart card in public transportation: Designing a analysis system at the human scale8 cited
  • 2018Where You Really Are: User Trip Based City Functional Zone Ascertainment7 cited
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