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Identifying subway commuters travel patterns using traffic smart card data: A topic model
16 references·0 citing·51 second hopsampled
Identifying subway commuters travel patterns using traffic smart card data: A topic model (2025)Identifying subway commuters travel patte…Understanding individual-level travel behavior changes due to COVID-19: Trip frequency, trip regularity, and trip distance (2023)Understanding individual-leve…Trip Purposes Mining From Mobile Signaling Data (2021)Trip Purposes Mining From Mob…Mining metro commuting mobility patterns using massive smart card data (2021)Mining metro commuting mobili…Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area (2021)Impacts of long-term service …ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs (2021)ActivityNET: Neural networks …Probabilistic model for destination inference and travel pattern mining from smart card data (2020)Probabilistic model for desti…Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model (2020)Discovering latent activity p…Public transport trip purpose inference using smart card fare data (2018)Public transport trip purpose…Revealing group travel behavior patterns with public transit smart card data (2017)Revealing group travel behavi…Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Combining smart card data and…Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model (2015)Activity imputation for trip-…Jobs-Housing Balance of Bus Commuters in Beijing (2014)Jobs-Housing Balance of Bus C…Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…The Impact of the Built Environment on Individual Workers’ Commuting Behavior in Beijing (2013)The Impact of the Built Envir…Evidence Synthesis for Decision Making 2 (2012)Evidence Synthesis for Decisi…Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Augmenting Transit Trip Chara…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Observing the rhythms of daily life: A six-week travel diary (2002)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Early birds, night owls, and tireless/recurring itinerants: An exploratory analysis of extreme transit behaviors in Beijing, China (2016)Analysing the spatial-temporal characteristics of bus travel demand using the heat map (2017)A robust method for estimating transit passenger trajectories using automated data (2018)Location and Land Use (1964)Location and Land Use: Toward a General Theory of Land Rent (1964)Travel and the Built Environment (2010)Built environmental correlates of physical activity in China: A review (2016)Understanding job-housing relationship and commuting pattern in Chinese cities: Past, present and future (2016)Exploring car ownership and car use in neighborhoods near metro stations in Beijing: Does the neighborhood built environment matter? (2017)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)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Urban Spatial Structure (2010)Friendship and mobility (2011)Rethinking big data: A review on the data quality and usage issues (2015)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data (2019)Meta-analysis in clinical trials (1986)Measuring inconsistency in meta-analyses (2003)Cochrane Handbook for Systematic Reviews of Interventions (2008)Evidence Synthesis for Decision Making 4 (2013)Psychological and pharmacological interventions for social anxiety disorder in adults: a systematic review and network meta-analysis (2014)Automated generation of node‐splitting models for assessment of inconsistency in network meta‐analysis (2015)Activity-based disaggregate travel demand model system with activity schedules (2001)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Smart Card Data Mining of Public Transport Destination: A Literature Review (2018)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)The Silent Language (1959)The Hidden Dimension (1973)A model for measuring activity similarity between public transit passengers using smart card data (2018)A new perspective on the temporal pattern of human activities in cities: The case of Shanghai (2018)A procedure for public transit OD matrix generation using smart card transaction data (2020)Transit capacity and quality of service manual (2003)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Data-driven activity scheduler for agent-based mobility models (2018)Big data in public transportation: a review of sources and methods (2019)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach (2021)Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data (2022)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data (2021)Inferring passenger responses to urban rail disruptions using smart card data: A probabilistic framework (2022)The relative roles of different land-use types in bike-sharing demand: A machine learning-based multiple interpolation fusion method (2023)
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References

  • 2012Evidence Synthesis for Decision Making 21,206 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2015Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing265 cited
  • 2018Public transport trip purpose inference using smart card fare data160 cited
  • 2013The Impact of the Built Environment on Individual Workers’ Commuting Behavior in Beijing146 cited
  • 2015Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model97 cited
  • 2010Augmenting Transit Trip Characterization and Travel Behavior Comprehension78 cited
  • 2020Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model70 cited
  • 2020Probabilistic model for destination inference and travel pattern mining from smart card data64 cited
  • 2017Revealing group travel behavior patterns with public transit smart card data50 cited
  • 2021Mining metro commuting mobility patterns using massive smart card data45 cited
  • 2021Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area44 cited
  • 2021ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs40 cited
  • 2021Trip Purposes Mining From Mobile Signaling Data

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40 cited
  • 2023Understanding individual-level travel behavior changes due to COVID-19: Trip frequency, trip regularity, and trip distance37 cited
  • 2014Jobs-Housing Balance of Bus Commuters in Beijing37 cited
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