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Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data
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Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data (2021)Understanding Private Car Aggregation Eff…Australian Bureau of Statistics (2021)Australian Bureau of Statisti…Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks (2020)Predicting Human Mobility Wit…Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction (2020)Dynamic Spatial-Temporal Repr…Revealing Urban Dynamics by Learning Online and Offline Behaviours Together (2019)Revealing Urban Dynamics by L…MAC (2019)MACExploring Individual Travel Patterns Across Private Car Trajectory Data (2019)Exploring Individual Travel P…Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis (2018)Spatio-Temporal Check-in Time…Exploring Human Stay Time Patterns from Mobile Phone Data (2018)Exploring Human Stay Time Pat…DeepMove (2018)DeepMoveSpatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Spatio-Temporal Analysis of P…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Predicting Stay Time of Mobile Users With Contextual Information (2013)Predicting Stay Time of Mobil…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Simulating dynamical features of escape panic (2000)Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)A universal model for mobility and migration patterns (2012)Smart cities of the future (2012)The scaling laws of human travel (2006)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Human mobility: Models and applications (2018)The universal visitation law of human mobility (2021)Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)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)Smart Card Data Mining of Public Transport Destination: A Literature Review (2018)Friendship and mobility (2011)A Survey on Deep Learning for Human Mobility (2021)Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting (2021)A survey on deep learning for human mobility (2023)Mining User Mobility Features for Next Place Prediction in Location-Based Services (2012)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Recurrent Spatio-Temporal Point Process for Check-in Time Prediction (2018)Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective (2019)Mobility-based Individual POI Recommendation to Control the COVID-19 Spread (2021)OpenStreetMap: User-Generated Street Maps (2008)Understanding mobility based on GPS data (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)CellRep: Usage Representativeness Modeling and Correction Based on Multiple City-Scale Cellular Networks (2020)Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility Modeling (2020)Dynamics of in-station time within metro systems: Measurement and determining factors (2024)Transit capacity and quality of service manual (2003)A DBSCAN-based framework to mine travel patterns from origin-destination matrices: Proof-of-concept on proxy static OD from Brisbane (2021)Trajectory big data reveals spatial disparity of healthcare accessibility at the residential neighborhood scale (2022)What cities have is how people travel: Conceptualizing a data-mining-driven modal split framework (2022)Time Series Analysis: Forecasting and Control. (1978)Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models (1991)Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction (2023)The components of resilience—Perceptions of an Australian rural community (2010)The gap in life expectancy from preventable physical illness in psychiatric patients in Western Australia: retrospective analysis of population based registers (2013)Violence against women in Australia: additional analysis of the Australian Bureau of Statistics' Personal Safety Survey, 2012 (2015)Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions (2020)Learning to Simulate Human Mobility (2020)Nation-wide human mobility prediction based on graph neural networks (2021)Translating Human Mobility Forecasting through Natural Language Generation (2022)
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References

  • 2010Limits of Predictability in Human Mobility3,282 cited
  • 2018DeepMove752 cited
  • 2015Returners and explorers dichotomy in human mobility510 cited
  • 2021Australian Bureau of Statistics237 cited
  • 2017Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data192 cited
  • 2020Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction169 cited
  • 2019Exploring Individual Travel Patterns Across Private Car Trajectory Data94 cited
  • 2020Predicting Human Mobility With Semantic Motivation via Multi-Task Attentional Recurrent Networks35 cited
  • 2019MAC32 cited
  • 2018Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis31 cited
  • 2013Predicting Stay Time of Mobile Users With Contextual Information25 cited
  • 2019Revealing Urban Dynamics by Learning Online and Offline Behaviours Together25 cited
  • 2018Exploring Human Stay Time Patterns from Mobile Phone Data4 cited

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