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Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data
16 references·9 citing·41 second hop
Intermodal passenger flows on London's public transport network : automated inference of full passenger journeys using fare-transaction and vehicle-location data (2012)Intermodal passenger flows on London's pu…Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Bus Passenger Origin-Destinat…Estimation of origin-destination matrices for a multimodal public transit network (2010)Estimation of origin-destinat…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Estimating a Rail Passenger T…The value of automated fare collection data for transit planning : an example of rail transit OD matrix estimation (2006)The value of automated fare c…Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems (2006)Bus passenger Origin-Destinat…A unified theory of consumption, travel and trip chaining (2006)A unified theory of consumpti…Transfer journey identification and analyses from electronic fare collection data (2005)Transfer journey identificati…The potential of public transport smart card data (2005)The potential of public trans…What role for smart-card data from bus systems? (2004)What role for smart-card data…The planning and analysis implications of automated data collection systems : rail transit OD matrix inference and path choice modeling examples (2004)The planning and analysis imp…Time allocation in urban and transport settings: an international, inter-urban perspective (2002)Time allocation in urban and …Toward Conceptualizing Trip‐Chaining Behavior: A Review (1987)Toward Conceptualizing Trip‐C…METHODS TO COMBINE DIFFERENT DATA SOURCES AND ESTIMATE ORIGIN-DESTINATION MATRICES (1987)METHODS TO COMBINE DIFFERENT …Generating a Bus Route O‐D Matrix From on‐off Data (1985)Generating a Bus Route O‐D Ma…The Distinction between Convenience Goods, Shopping Goods, and Specialty Goods (1958)The Distinction between Conve…Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data (2024)Estimation of dynamic Origin–…Alighting location estimation from public transit data: a case study of Shenzhen (2024)Alighting location estimation…Intrapersonal variability in public transport path choice due to changes in service reliability (2021)Intrapersonal variability in …Fare evasion correction for smartcard-based origin-destination matrices (2020)Fare evasion correction for s…Applications of Inferred Origins, Destinations, and Interchanges in Bus Service Planning (2017)Applications of Inferred Orig…Transit Origin-Destination Estimation (2016)Transit Origin-Destination Es…From Transit Systems to Models: Data Representation and Collection (2016)From Transit Systems to Model…Exploring regularity and structure in travel behavior using Smart Card data (2015)Exploring regularity and stru…Running time variability and resource allocation : a data-driven analysis of high-frequency bus operations (2012)Running time variability and …Central Places in Southern Germany (1967)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Conditional logit analysis of qualitative choice behavior (1972)Conceptualization of multi-destination pleasure trips (1993)The effect of multi-purpose shopping on pricing and location strategy for grocery stores (2004)Path Data in Marketing: An Integrative Framework and Prospectus for Model Building (2008)Geography: A Modern Synthesis (1972)Geography: a modern synthesis (2004)Spatiotemporal Patterns of Urban Human Mobility (2012)Behavioural data mining of transit smart card data: A data fusion approach (2014)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Crowding valuation in urban tram and bus transportation based on smart card data (2018)A Theory of the Allocation of Time (1965)MONOPOLISTIC COMPETITION AND OPTIMUM PRODUCT DIVERSITY (1975)Discrete Choice Methods with Simulation (2001)THE EFFECT OF TRANSPORTATION SUBSIDIES ON URBAN SPRAWL* (2008)Synthesis of Research on Value of Time and Value of Reliability (2009)Agglomeration within an urban area (2015)Data Analysis for Bus Planning and Monitoring (2000)Transit capacity and quality of service manual (2003)Extracting bus transit boarding stop information using smart card transaction data (2018)Understanding coupling dynamics of public transportation networks (2018)Alighting stop determination using two-step algorithms in bus transit systems (2019)Observing the rhythms of daily life: A six-week travel diary (2002)Introduction: Habitual travel choice (2003)Passenger Segmentation Using Smart Card Data (2014)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Inferring patterns in the multi-week activity sequences of public transport users (2016)Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Deep‐learning architecture to forecast destinations of bus passengers from entry‐only smart‐card data (2017)Clustering Passenger Trip Data for the Potential Passenger Investigation and Line Design of Customized Commuter Bus (2018)Are transit users loyal? 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References

  • 2005The potential of public transport smart card data396 cited
  • 2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems296 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems217 cited
  • 1958The Distinction between Convenience Goods, Shopping Goods, and Specialty Goods140 cited
  • 1987Toward Conceptualizing Trip‐Chaining Behavior: A Review120 cited
  • 2006Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems97 cited
  • 2004What role for smart-card data from bus systems?88 cited
  • 2006A unified theory of consumption, travel and trip chaining60 cited
  • 2005Transfer journey identification and analyses from electronic fare collection data44 cited
  • 2004The planning and analysis implications of automated data collection systems : rail transit OD matrix inference and path choice modeling examples35 cited
  • 1985Generating a Bus Route O‐D Matrix From on‐off Data34 cited
  • 1987METHODS TO COMBINE DIFFERENT DATA SOURCES AND ESTIMATE ORIGIN-DESTINATION MATRICES31 cited
  • 2006The value of automated fare collection data for transit planning : an example of rail transit OD matrix estimation

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27 cited
  • 2010Estimation of origin-destination matrices for a multimodal public transit network23 cited
  • 2002Time allocation in urban and transport settings: an international, inter-urban perspective22 cited
  • Cited by

    • 2020Fare evasion correction for smartcard-based origin-destination matrices18 cited
    • 2016Transit Origin-Destination Estimation16 cited
    • 2012Running time variability and resource allocation : a data-driven analysis of high-frequency bus operations13 cited
    • 2024Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data9 cited
    • 2017Applications of Inferred Origins, Destinations, and Interchanges in Bus Service Planning8 cited
    • 2021Intrapersonal variability in public transport path choice due to changes in service reliability5 cited
    • 2015Exploring regularity and structure in travel behavior using Smart Card data5 cited
    • 2024Alighting location estimation from public transit data: a case study of Shenzhen4 cited
    • 2016From Transit Systems to Models: Data Representation and Collection4 cited