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Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach
16 references·0 citing·46 second hopsampled
Individual Travel Knowledge Graph-Based Public Transport Commuter Identification: A Mixed Data Learning Approach (2022)Individual Travel Knowledge Graph-Based P…Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis (2021)Heterogeneity in Activity-tra…Frequent-pattern growth algorithm based association rule mining method of public transport travel stability (2020)Frequent-pattern growth algor…Fare evasion in public transport systems: a review of the literature (2020)Fare evasion in public transp…Spatiotemporal characteristics of green travel: A classification study on a public bicycle system (2019)Spatiotemporal characteristic…Travel Behavior Classification: An Approach with Social Network and Deep Learning (2018)Travel Behavior Classificatio…Individual Travel Behavior Modeling of Public Transport Passenger Based on Graph Construction (2018)Individual Travel Behavior Mo…Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory (2018)Do supra-modal traveller type…Objective assessment of station approach routes: Development and reliability of an audit for walking environments around metro stations in China (2017)Objective assessment of stati…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Time Reliability Measures in bus Transport Services from the Accurate use of Automatic Vehicle Location raw Data (2016)Time Reliability Measures in …Spatiotemporal variation in travel regularity through transit user profiling (2016)Spatiotemporal variation in t…A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data (2015)A modified Density-Based Scan…Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Daily activity pattern recognition by using support vector machines with multiple classes (2013)Daily activity pattern recogn…Rough-Fuzzy Hybridization: A New Trend in Decision Making (1999)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)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Observing the rhythms of daily life: A six-week travel diary (2002)Clustering Smart Card Data for Urban Mobility Analysis (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Measuring transit use variability with smart-card data (2007)Transit market research using structural equation modeling and attitudinal market segmentation (2008)Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data (2009)Inferring patterns in the multi-week activity sequences of public transport users (2016)A 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)Urban activity pattern classification using topic models from online geo-location data (2014)Understanding urban mobility patterns with a probabilistic tensor factorization framework (2016)Shaping a View on the Influence of Technologies on Sustainable Tourism (2021)Spatiotemporal Patterns of Urban Human Mobility (2012)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Understanding individual human mobility patterns (2008)Job-worker spatial dynamics in Beijing: Insights from Smart Card Data (2018)Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model (2022)Identifying human mobility patterns using smart card data (2023)Multiple Attribute Decision Making: Methods and Applications (1981)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)The impacts of COVID-19 pandemic on public transit demand in the United States (2020)Developing a reliable audit instrument to measure the physical environment for physical activity (2002)How the built environment affects physical activity (2002)Walking to Public TransitSteps to Help Meet Physical Activity Recommendations (2005)Can bicycle relieve overcrowded metro? Managing short-distance travel in Beijing (2017)Go-along with older people to public transport in high-density cities: Understanding the concerns and walking barriers through their lens (2021)Does neighborhood design matter for walk access to metro stations? An integrated SEM-Hybrid discrete mode choice approach (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)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Latent Class Analysis: An Alternative Perspective on Subgroup Analysis in Prevention and Treatment (2011)poLCA : An R Package for Polytomous Variable Latent Class Analysis (2011)Equitable active transport for female cyclists (2022)Heterogeneity in the transfer time of air-rail intermodal passengers based on ticket booking data (2022)Understanding patients heterogeneity in healthcare travel and hospital choice - A latent class analysis with covariates (2023)
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References

  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • 2013Daily activity pattern recognition by using support vector machines with multiple classes95 cited
  • 2015A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data91 cited
  • 2020Fare evasion in public transport systems: a review of the literature84 cited
  • 2016Spatiotemporal variation in travel regularity through transit user profiling82 cited
  • 2021Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis58 cited
  • 2017Objective assessment of station approach routes: Development and reliability of an audit for walking environments around metro stations in China57 cited
  • 2016Time Reliability Measures in bus Transport Services from the Accurate use of Automatic Vehicle Location raw Data36 cited
  • 2018Travel Behavior Classification: An Approach with Social Network and Deep Learning33 cited
  • 2018Individual Travel Behavior Modeling of Public Transport Passenger Based on Graph Construction31 cited
  • 2020

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Frequent-pattern growth algorithm based association rule mining method of public transport travel stability
27 cited
  • 2018Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory26 cited
  • 2019Spatiotemporal characteristics of green travel: A classification study on a public bicycle system23 cited
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