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Analysis of Hospitalizing Behaviors Based on Big Trajectory Data
6 references·0 citing·26 second hop
Analysis of Hospitalizing Behaviors Based on Big Trajectory Data (2019)Analysis of Hospitalizing Behaviors Based…Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective (2018)Exploring Human Mobility Patt…A survey of evaluation methods for personal route and destination prediction from mobility traces (2017)A survey of evaluation method…Understanding urban mobility patterns with a probabilistic tensor factorization framework (2016)Understanding urban mobility …Travel mode detection based on GPS track data and Bayesian networks (2015)Travel mode detection based o…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Inferring trip purposes and u…Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)Limits of Predictability in Human Mobility (2010)Unravelling daily human mobility motifs (2013)Human mobility: Models and applications (2018)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Urban Human Mobility (2019)Spatial-temporal potential exposure risk analytics and urban sustainability impacts related to COVID-19 mitigation: A perspective from car mobility behaviour (2020)Friendship and mobility (2011)Investigating the Operational Dynamics of Different Transportation Modes in Vehicular Networks (2021)Promoting sustainable and personalized travel behaviors while preserving data privacy (2024)The scaling laws of human travel (2006)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)A Survey of Emergencies Management Systems in Smart Cities (2022)Conditional logit analysis of qualitative choice behavior (1972)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)A Survey of Digital Map Processing Techniques (2014)Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies (2016)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Transportation mode identification with GPS trajectory data and GIS information (2021)
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References

  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2015Inferring trip purposes and uncovering travel patterns from taxi trajectory data254 cited
  • 2016Understanding urban mobility patterns with a probabilistic tensor factorization framework175 cited
  • 2015Travel mode detection based on GPS track data and Bayesian networks154 cited
  • 2018Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective149 cited
  • 2017A survey of evaluation methods for personal route and destination prediction from mobility traces34 cited

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