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A Hierarchical Passenger Mobility Prediction Model Applicable to Large Crowding Events
16 references·1 citing·48 second hopsampled
A Hierarchical Passenger Mobility Prediction Model Applicable to Large Crowding Events (2022)A Hierarchical Passenger Mobility Predict…Understanding individual and collective human mobility patterns in twelve crowding events occurred in Shenzhen (2022)Understanding individual and …Fare evasion in public transport systems: a review of the literature (2020)Fare evasion in public transp…On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies (2019)On the accuracy and potential…Assessment of urban human mobility perturbation under extreme weather events: A case study in Nanjing, China (2019)Assessment of urban human mob…Individual mobility prediction using transit smart card data (2018)Individual mobility predictio…A mobility network approach to identify and anticipate large crowd gatherings (2018)A mobility network approach t…Uncovering stable and occasional human mobility patterns: A case study of the Beijing subway (2017)Uncovering stable and occasio…Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Spatio-Temporal Analysis of P…Early Warning of Human Crowds Based on Query Data from Baidu Maps: Analysis Based on Shanghai Stampede (2017)Early Warning of Human Crowds…Collective benefits in traffic during mega events via the use of information technologies (2017)Collective benefits in traffi…Advances in Crowd Analysis for Urban Applications Through Urban Event Detection (2017)Advances in Crowd Analysis fo…Using Twitter for Next-Place Prediction, with an Application to Crime Prediction (2015)Using Twitter for Next-Place …Inferring Unusual Crowd Events from Mobile Phone Call Detail Records (2015)Inferring Unusual Crowd Event…Predicting future locations with hidden Markov models (2012)Predicting future locations w…Predictability of population displacement after the 2010 Haiti earthquake (2012)Predictability of population …Next place prediction using mobility Markov chains (2012)Next place prediction using m…A New Individual Mobility Prediction Model Applicable to Both Ordinary Conditions and Large Crowding Events (2023)A New Individual Mobility Pre…Predestination: Inferring Destinations from Partial Trajectories (2006)Understanding mobility based on GPS data (2008)Limits of Predictability in Human Mobility (2010)Approaching the Limit of Predictability in Human Mobility (2013)Understanding Human Mobility from Twitter (2015)DeepMove (2018)Understanding individual human mobility patterns (2008)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Power-Law Distributions in Empirical Data (2009)Dynamic population mapping using mobile phone data (2014)A survey of results on mobile phone datasets analysis (2015)Big Data for Development: A Review of Promises and Challenges (2015)Power-law distributions in empirical data (2018)Transportation mode detection using mobile phones and GIS information (2011)Human mobility modeling at metropolitan scales (2012)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Unveiling large-scale commuting patterns based on mobile phone cellular network data (2020)Mobile Phone Data: A Survey of Techniques, Features, and Applications (2023)Estimation and prediction of time-dependent origin-destination flows (1996)Unravelling daily human mobility motifs (2013)Human behaviours in evacuation crowd dynamics: From modelling to “big data” toward crisis management (2016)Applications of artificial intelligence for disaster management (2020)A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target (2023)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Urban Computing (2014)Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data (2021)Reality mining: sensing complex social systems (2005)iABACUS: A Wi-Fi-Based Automatic Bus Passenger Counting System (2020)Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review (2022)A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data (2023)Speech and language processing (2010)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction (2020)Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)Travel and the Built Environment (2010)Towards sustainable pedestrian mobility in Riyadh city, Saudi Arabia: A case study (2021)Quantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China (2022)Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Public transport fare elasticities from smartcard data: Evidence from a natural experiment (2021)Review of Transit Data Sources: Potentials, Challenges and Complementarity (2021)Robustness and disturbances in public transport (2022)
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References

  • 2012Predictability of population displacement after the 2010 Haiti earthquake633 cited
  • 2012Next place prediction using mobility Markov chains560 cited
  • 2012Predicting future locations with hidden Markov models390 cited
  • 2017Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data197 cited
  • 2018Individual mobility prediction using transit smart card data140 cited
  • 2017Advances in Crowd Analysis for Urban Applications Through Urban Event Detection98 cited
  • 2020Fare evasion in public transport systems: a review of the literature84 cited
  • 2019Assessment of urban human mobility perturbation under extreme weather events: A case study in Nanjing, China64 cited
  • 2015Inferring Unusual Crowd Events from Mobile Phone Call Detail Records63 cited
  • 2017Early Warning of Human Crowds Based on Query Data from Baidu Maps: Analysis Based on Shanghai Stampede62 cited
  • 2017Collective benefits in traffic during mega events via the use of information technologies62 cited
  • 2018A mobility network approach to identify and anticipate large crowd gatherings61 cited
  • 2015Using Twitter for Next-Place Prediction, with an Application to Crime Prediction40 cited
  • 2019On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies

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34 cited
  • 2017Uncovering stable and occasional human mobility patterns: A case study of the Beijing subway25 cited
  • 2022Understanding individual and collective human mobility patterns in twelve crowding events occurred in Shenzhen17 cited
  • Cited by

    • 2023A New Individual Mobility Prediction Model Applicable to Both Ordinary Conditions and Large Crowding Events2 cited