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Classification of London's public transport users using smart card data
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Classification of London's public transport users using smart card data (2013)Classification of London's public transpo…Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation (2024)Spatial-temporal identificati…Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data (2024)Activity-based individual tra…Public Transit Passenger Profiling by Using Large-Scale Smart Card Data (2023)Public Transit Passenger Prof…Demand-responsive Users' Travel Behavior and Satisfaction Analysis in Small Cities (2022)Demand-responsive Users' Trav…Development of a Common Framework for Analysing Public Transport Smart Card Data (2021)Development of a Common Frame…Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones (2021)Activity behavior of resident…Mining commuting behavior of urban rail transit network by using association rules (2020)Mining commuting behavior of …Commuting Pattern Recognition Using a Systematic Cluster Framework (2020)Commuting Pattern Recognition…Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design (2020)Behavioral response to promot…Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data (2019)Research on classification an…EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY (2019)EXPLORING THE RELATIONSHIP BE…Inferring Social-Demographics of Travellers based on Smart Card Data (2018)Inferring Social-Demographics…User Behavior Transition Mapping for Bus Transportation Planning based on Time Series Data Analysis of Travel E-ticket Information (2017)User Behavior Transition Mapp…Inferring passenger types from commuter eigentravel matrices (2017)Inferring passenger types fro…Workshop 5 report: Harnessing big data (2016)Workshop 5 report: Harnessing…Challenges in Spatial-Temporal Data Analysis Targeting Public TransportÕ (2015)Challenges in Spatial-Tempora…Analysing the Variability of Transit Users Behaviour with Smart Card Data (2006)Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems (2008)Spatiotemporal Patterns of Urban Human Mobility (2012)Measuring Similarity Between Any Pair of Passengers Using Smart Card Usage Data (2021)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data (2016)Using smart card and GPS data for policy and planning: The case of Transantiago (2016)Bus Load Inference and Crowding Performance Evaluation through Disaggregate Analysis of Fare Transaction, Vehicle Location, and Passenger Count Data (2018)The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics (1981)Inferring patterns in the multi-week activity sequences of public transport users (2016)Modelling socioeconomic attributes of public transit passengers (2020)Investigating mandatory and non-mandatory trip patterns based on socioeconomic characteristics and traffic analysis zone features using deep neural networks (2022)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Understanding commuting patterns using transit smart card data (2016)Detecting Home and Work Locations from Mobile Phone Cellular Signaling Data (2021)Neighborhood-level determining factors of travel distance by trip purpose: Policy implications for the N-minute city (2024)The potential of public transport smart card data (2005)Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China (2018)Mining urban passengers’ travel patterns from incomplete data with use cases (2018)Domain-specific data mining for residents' transit pattern retrieval from incomplete information (2019)A universal model for mobility and migration patterns (2012)Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Travel Demand Management Targeting Reduced Private Car Use: Effectiveness, Public Acceptability and Political Feasibility (2007)Citizens’ Perceptions in Relation to Transport Systems and Infrastructures: A Nationwide Study in the Dominican Republic (2021)Fare adjustment’s impacts on travel patterns and farebox revenue: An empirical study based on longitudinal smartcard data (2022)Knowledge-Mapping Analysis of Urban Sustainable Transportation Using CiteSpace (2023)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Public transportation and sustainability: A review (2016)Unraveling metro mobility patterns in China: A multi-city comparative study using travel motifs and entropy analysis (2024)Analysis of public transit operation efficiency based on multi-source data: A case study in Brisbane, Australia (2022)Timetable synchronization optimization in a subway–bus network (2022)High frequency data in Land use and transport integrated model: A review of sources and application (2022)Exploring the public bus ridership loss and recovery during the COVID-19 pandemic: a spatiotemporal analysis using smart card data (2023)
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  • 2020Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design31 cited
  • 2020Mining commuting behavior of urban rail transit network by using association rules29 cited
  • 2019Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data23 cited
  • 2017Inferring passenger types from commuter eigentravel matrices18 cited
  • 2016Workshop 5 report: Harnessing big data12 cited
  • 2018Inferring Social-Demographics of Travellers based on Smart Card Data12 cited
  • 2024Spatial-temporal identification of commuters using trip chain data from non-motorized mode incentive program and public transportation11 cited
  • 2015Challenges in Spatial-Temporal Data Analysis Targeting Public TransportÕ10 cited
  • 2020Commuting Pattern Recognition Using a Systematic Cluster Framework9 cited
  • 2021Development of a Common Framework for Analysing Public Transport Smart Card Data9 cited
  • 2022Demand-responsive Users' Travel Behavior and Satisfaction Analysis in Small Cities9 cited
  • 2024Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data9 cited
  • 2021Activity behavior of residents of Paraisópolis slum: Analysis of multiday activity patterns using data collected with smartphones

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9 cited
  • 2019EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY8 cited
  • 2017User Behavior Transition Mapping for Bus Transportation Planning based on Time Series Data Analysis of Travel E-ticket Information6 cited
  • 2023Public Transit Passenger Profiling by Using Large-Scale Smart Card Data6 cited