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Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI
11 references·0 citing·54 second hop
Exploring lifestyle patterns from GPS trajectory data: embedding spatio-temporal context information via geohash and POI (2024)Exploring lifestyle patterns from GPS tra…Explaining human mobility predictions through a pattern matching algorithm (2022)Explaining human mobility pre…Scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data (2019)Scikit-mobility: a Python lib…Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population (2019)Habit2vec: Trajectory Semanti…Spatio-Temporal Routine Mining on Mobile Phone Data (2018)Spatio-Temporal Routine Minin…Spatio-temporal prediction of shopping behaviours using taxi trajectory data (2018)Spatio-temporal prediction of…Learning the route choice behavior of subway passengers from AFC data (2017)Learning the route choice beh…Next Place Prediction Based on Spatiotemporal Pattern Mining of Mobile Device Logs (2016)Next Place Prediction Based o…Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Understanding aggregate human…Deduction of Passengers' Route Choices From Smart Card Data (2014)Deduction of Passengers' Rout…Life-space characterization from cellular telephone collected GPS data (2013)Life-space characterization f…Clustering daily patterns of human activities in the city (2012)Clustering daily patterns of …Equilibrium traffic assignment for large scale transit networks (1988)Optimal strategies: A new assignment model for transit networks (1989)Smart card data use in public transit: A literature review (2011)Clustering Analysis of Ridership Patterns at Subway Stations: A Case in Nanjing, China (2019)Combining ITS and optimization in public transportation planning: state of the art and future research paths (2019)Unveiling route choice strategy heterogeneity from smart card data in a large-scale public transport network (2021)Using GPS to learn significant locations and predict movement across multiple users (2003)Mode of questionnaire administration can have serious effects on data quality (2005)Learning transportation mode from raw gps data for geographic applications on the web (2008)Addressing location uncertainties in GPS‐based activity monitoring: A methodological framework (2016)Classifying Human Activity Patterns from Smartphone Collected GPS data: A Fuzzy Classification and Aggregation Approach (2016)Identifying activity-travel points from GPS-data with multiple moving windows (2018)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Place and Placelessness (1978)Understanding individual human mobility patterns (2008)Understanding the bias of call detail records in human mobility research (2016)Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data (2018)Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach (2020)Motivation and personality (1993)Motivation and Personality (1997)A review of urban computing for mobile phone traces (2013)Inferring patterns in the multi-week activity sequences of public transport users (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Next place prediction using mobility Markov chains (2012)Predicting future locations with hidden Markov models (2012)Combining Markov model and Prediction by Partial Matching compression technique for route and destination prediction (2018)Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction (2020)Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories (2020)STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS (1984)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal (2011)Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study (2018)Data-driven model for passenger route choice in urban metro network (2019)A Review of Big Data Applications in Urban Transit Systems (2020)Defining and Estimating a Trading Area (1964)Time Series Analysis: Forecasting and Control (1977)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Automated prediction of shopping behaviours using taxi trajectory data and social media reviews (2018)Data-Driven Agent-Based Model of Intra-Urban Activities (2020)Patterns of Nighttime Crowd Flows in Tourism Cities Based on Taxi Data—Take Haikou Prefecture as an Example (2022)Reality mining: sensing complex social systems (2005)Friendship and mobility (2011)Metagraph-Based Life Pattern Clustering With Big Human Mobility Data (2022)Mobility in Unsupervised Word Embeddings for Knowledge Extraction—The Scholars’ Trajectories across Research Topics (2022)Visitors' consistent stay behavior patterns within free-roaming scenic architectural complexes: Considering impacts of temporal, spatial, and environmental factors (2024)Social Capital: Prospects for a New Concept (2002)Limits of Predictability in Human Mobility (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)Demographics of mobile app usage: long-term analysis of mobile app usage (2021)Exploring Human Mobility Patterns and Travel Behavior: A Focus on Private Cars (2021)Unsupervised embedding of trajectories captures the latent structure of scientific migration (2023)A multi-scale unified model of human mobility in urban agglomerations (2023)Spatio-temporal Analysis of Mobile Phone and Social Media Data Across Multiple Disaster Scenarios: An Input to Population Exposure Assessment (2023)Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning (2024)
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References

  • 2012Clustering daily patterns of human activities in the city282 cited
  • 2015Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach189 cited
  • 2017Learning the route choice behavior of subway passengers from AFC data90 cited
  • 2019Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population80 cited
  • 2014Deduction of Passengers' Route Choices From Smart Card Data63 cited
  • 2019Scikit-mobility: a Python library for the analysis, generation and risk assessment of mobility data46 cited
  • 2016Next Place Prediction Based on Spatiotemporal Pattern Mining of Mobile Device Logs45 cited
  • 2013Life-space characterization from cellular telephone collected GPS data40 cited
  • 2018Spatio-Temporal Routine Mining on Mobile Phone Data22 cited
  • 2018Spatio-temporal prediction of shopping behaviours using taxi trajectory data13 cited
  • 2022Explaining human mobility predictions through a pattern matching algorithm8 cited

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