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Inferring the purposes of taxi trips using GPS and POI data considering the destination context
11 references·0 citing·49 second hopsampled
Inferring the purposes of taxi trips using GPS and POI data considering the destination context (2021)Inferring the purposes of taxi trips usin…Reviewing trip purpose imputation in GPS-based travel surveys (2020)Reviewing trip purpose imputa…Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation (2019)Extracting activity patterns …A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction (2019)A Combined Solution for Real-…TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)TripImputor: Real-Time Imputi…Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes (2018)Trip2Vec: a deep embedding ap…Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data (2017)Travel purpose inference with…Real-time trip purpose prediction using online location-based search and discovery services (2017)Real-time trip purpose predic…Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests (2017)Exploring Bikesharing Travel …Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Inferring trip purposes and u…Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Deriving Personal Trip Data f…Active travel behavior (2009)Active travel behaviorWHAT ABOUT PEOPLE IN REGIONAL SCIENCE? 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A case study based on spatial-temporal-semantic analytics (2021)Inferring High-Level Behavior from Low-Level Sensors (2003)Learning transportation mode from raw gps data for geographic applications on the web (2008)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Identification of activity stop locations in GPS trajectories by density-based clustering method combined with support vector machines (2015)Transportation mode detection – an in-depth review of applicability and reliability (2016)Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)A Rationale and Test for the Number of Factors in Factor Analysis (1965)Modelling the Choice of Residential Location (1977)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Forecasting current and next trip purpose with social media data and Google Places (2018)Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study (2018)New and emerging data forms in transportation planning and policy: Opportunities and challenges for “Track and Trace” data (2020)Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia (2014)Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Electric bike-sharing services mode substitution for driving, public transit, and cycling (2021)Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai (2021)Fences and neighbours in the postmodern world: boundary narratives in political geography (1998)Detecting the dynamics of urban structure through spatial network analysis (2014)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization (2019)Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China (2021)Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization (2016)Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes (2017)Trip Purposes Mining From Mobile Signaling Data (2021)Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism (2023)Mining smart card data for transit riders’ travel patterns (2013)Social media for large studies of behavior (2014)Toward travel pattern aware tourism region planning: a big data approach (2021)Using GPS to learn significant locations and predict movement across multiple users (2003)Intra-urban human mobility patterns: An urban morphology perspective (2011)Geographical and temporal huff model calibration using taxi trajectory data (2020)Investigating Human Travel Patterns from an Activity Semantic Flow Perspective: A Case Study within the Fifth Ring Road in Beijing Using Taxi Trajectory Data (2022)Agent-based modelling with geographically weighted calibration for intra-urban activities simulation using taxi GPS trajectories (2023)Handbook of Transportation Science (1999)International Encyclopedia of Human Geography (2009)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Hierarchical process of travel mode imputation from GPS data in a motorcycle-dependent area (2020)Factors Affecting the Growth of E-Shopping over the COVID-19 Era in Hanoi, Vietnam (2021)Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA (2021)
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References

  • 2015Inferring trip purposes and uncovering travel patterns from taxi trajectory data254 cited
  • 2018TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data171 cited
  • 2014Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies162 cited
  • 2017Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests142 cited
  • 2017Real-time trip purpose prediction using online location-based search and discovery services97 cited
  • 2018Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes66 cited
  • 2020Reviewing trip purpose imputation in GPS-based travel surveys53 cited
  • 2009Active travel behavior53 cited
  • 2019Extracting activity patterns from taxi trajectory data: a two-layer framework using spatio-temporal clustering, Bayesian probability and Monte Carlo simulation43 cited
  • 2017Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data42 cited
  • 2019A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction32 cited

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