SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Mining activity pattern trajectories and allocating activities in the network
10 references·13 citing·49 second hop
Mining activity pattern trajectories and allocating activities in the network (2015)Mining activity pattern trajectories and …Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…Use of acceleration data for transportation mode prediction (2014)Use of acceleration data for …Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Daily activity pattern recognition by using support vector machines with multiple classes (2013)Daily activity pattern recogn…A process for trip purpose imputation from Global Positioning System data (2013)A process for trip purpose im…Combining GPS, GIS, and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviors (2010)Combining GPS, GIS, and Accel…Processing Raw Data from Global Positioning Systems without Additional Information (2009)Processing Raw Data from Glob…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Deriving and validating trip …Comparison of Trip Determination Methods in Household Travel Surveys Enhanced by a Global Positioning System (2005)Comparison of Trip Determinat…Unraveling equilibrium effect between traffic supply and land use in transit-oriented development (2025)Unraveling equilibrium effect…A review of travel behavioural pattern using GPS dataset: A systematic literature review (2024)A review of travel behavioura…Multi-day activity pattern recognition based on semantic embeddings of activity chains (2023)Multi-day activity pattern re…Time-Activity Patterns (2022)Time-Activity PatternsInferring Inter-City Trip Purpose From the Perspective of the Group (2021)Inferring Inter-City Trip Pur…Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics (2020)Fusing Mobile Phone and Trave…Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective (2019)Origin-Destination Matrix Est…Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get? (2019)Non-Employment Activity Type …A comparison of time-use behavior in metropolitan areas using pattern recognition techniques (2019)A comparison of time-use beha…Optimizing copious activity type classes based on classification accuracy and entropy retention (2018)Optimizing copious activity t…Exploring Daily Rhythms of Interpersonal Contacts: Time-of-Day Dynamics of Human Interactions with Latent Class Cluster Analysis (2017)Exploring Daily Rhythms of In…Estimating activity patterns using spatio-temporal data of cell phone networks (2017)Estimating activity patterns …Developing an optimised activity type annotation method based on classification accuracy and entropy indices (2017)Developing an optimised activ…Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics (1998)GPS tracking in neighborhood and health studies: A step forward for environmental exposure assessment, a step backward for causal inference? (2013)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Transportation mode detection using mobile phones and GIS information (2011)Travel Mode Detection with Varying Smartphone Data Collection Frequencies (2016)Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data (2018)Urban Analytics of Big Transportation Data for Supporting Smart Cities (2019)Observing the rhythms of daily life: A six-week travel diary (2002)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Clustering Smart Card Data for Urban Mobility Analysis (2016)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Can using global positioning system (GPS) improve trip reporting? (1999)Trip Rate Analysis in GPS-Enhanced Personal Travel Surveys (2003)Global Positioning System–Assisted Prompted Recall Household Travel Survey to Support Development of Advanced Travel Model in Jerusalem, Israel (2011)Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area (2015)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Learning and inferring transportation routines (2007)A time-use activity-pattern recognition model for activity-based travel demand modeling (2017)Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)Shaping a View on the Influence of Technologies on Sustainable Tourism (2021)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Search for a global positioning system device to measure person travel (2007)Identifying activity-travel points from GPS-data with multiple moving windows (2018)Modeling intra-destination travel behavior of tourists through spatio-temporal analysis (2018)Reviewing trip purpose imputation in GPS-based travel surveys (2020)Learning transportation mode from raw gps data for geographic applications on the web (2008)Route choice of cyclists in Zurich (2010)A GPS/GIS method for travel mode detection in New York City (2011)Using Global Positioning Systems in Health Research (2011)Inferring High-Level Behavior from Low-Level Sensors (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)Neighborhood Environmental Factors Correlated with Walking Near Home (2006)Active commuting and cardiovascular risk: A meta-analytic review (2007)Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review (2013)Big data and understanding change in the context of planning transport systems (2018)Measuring objective and subjective well-being: dimensions and data sources (2020)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Geo-located Twitter as proxy for global mobility patterns (2014)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)
this work references cited by second hop

References

  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands501 cited
  • 2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2010Combining GPS, GIS, and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviors137 cited
  • 2014Use of acceleration data for transportation mode prediction101 cited
  • 2013Daily activity pattern recognition by using support vector machines with multiple classes95 cited
  • 2005Comparison of Trip Determination Methods in Household Travel Surveys Enhanced by a Global Positioning System89 cited
  • 2013A process for trip purpose imputation from Global Positioning System data74 cited

Cited by

  • 2020Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics20 cited
  • 2023Multi-day activity pattern recognition based on semantic embeddings of activity chains18 cited
  • 2017Developing an optimised activity type annotation method based on classification accuracy and entropy indices15 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2019A comparison of time-use behavior in metropolitan areas using pattern recognition techniques15 cited
  • 2017Exploring Daily Rhythms of Interpersonal Contacts: Time-of-Day Dynamics of Human Interactions with Latent Class Cluster Analysis13 cited
  • 2024A review of travel behavioural pattern using GPS dataset: A systematic literature review12 cited
  • 2017Estimating activity patterns using spatio-temporal data of cell phone networks10 cited
  • 2019Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective9 cited
  • 2019Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get?5 cited
  • 2021Inferring Inter-City Trip Purpose From the Perspective of the Group4 cited
  • 2022Time-Activity Patterns4 cited
  • 2025Unraveling equilibrium effect between traffic supply and land use in transit-oriented development2 cited
  • 2018Optimizing copious activity type classes based on classification accuracy and entropy retention2 cited