SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Use of Public Transport Smart Card Fare Payment Data for Travel Behaviour Analysis in Singapore
8 references·12 citing·45 second hop
Use of Public Transport Smart Card Fare Payment Data for Travel Behaviour Analysis in Singapore (2011)Use of Public Transport Smart Card Fare P…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards (2011)Geodemographic analysis and t…Estimating a Transit Passenger Trip Origin-Destination Matrix Using Automatic Fare Collection System (2011)Estimating a Transit Passenge…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Travel Time and Transfer Anal…Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Augmenting Transit Trip Chara…Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea (2008)Use of Smart Card Data to Def…The potential of public transport smart card data (2005)The potential of public trans…Why do they travel backwards? Understanding passenger travel behaviour in congested urban public transport systems (2025)Why do they travel backwards?…Gaps in failure management of public transport supply in Addis Ababa: a comprehensive assessment (2025)Gaps in failure management of…Impact of newly extended metro line opening on commuting carbon emissions: A comparative study before and during the pandemic (2024)Impact of newly extended metr…Understanding individual and collective human mobility patterns in twelve crowding events occurred in Shenzhen (2022)Understanding individual and …Estimating left behind patterns in congested metro systems: a Bayesian model (2021)Estimating left behind patter…Inferring origin-Destination demand and user preferences in a multi-modal travel environment using automated fare collection data (2020)Inferring origin-Destination …Using Smart Farecard Data to Support Transit Network Restructuring: Findings from Los Angeles (2019)Using Smart Farecard Data to …Monitoring Multimodal Travel Environment Using Automated Fare Collection Data: Data Processing and Reliability Analysis (2019)Monitoring Multimodal Travel …Who uses smart card? Understanding public transport payment preference in developing contexts, a case study of Manila's LRT-1 (2018)Who uses smart card? Understa…Two-year Worth of Smart Card Transaction Data – Extracting Longitudinal Observations for the Understanding of Travel Behaviour (2015)Two-year Worth of Smart Card …A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems (2015)A data-driven agent-based mod…Simulating Congestion Dynamics of Train Rapid Transit Using Smart Card Data (2014)Simulating Congestion Dynamic…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada (2020)Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data (2022)Origin-destination inference in public transportation systems: A comprehensive review (2022)Interactive Spatial Data Analysis (1995)Interactive spatial data analysis (1996)Applied Spatial Data Analysis with R (2013)Policy analysis of third party electronic coupons for public transit fares (2014)A Deep Learning Approach to Infer Employment Status of Passengers by Using Smart Card Data (2019)Station-based average travel distance and its relationship with urban form and land use: An analysis of smart card data in Nanjing City, China (2019)Measuring transit use variability with smart-card data (2007)Short-Term Prediction of Ridership on Public Transport with Smart Card Data (2015)Evaluation of Transfer Efficiency between Bus and Subway based on Data Envelopment Analysis using Smart Card Data (2018)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)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)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)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)Agent-based modeling: Methods and techniques for simulating human systems (2002)Improved estimation of commuter waiting times using headway and commuter boarding information (2017)A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions (2021)SUMMIT: A multi-modal agent-based co-simulation of urban public transport with applications in contingency planning (2022)Property, Privacy, and Personal Data (2004)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Advance transit oriented development typology: case study in Brisbane, Australia (2013)Sustainable Urban Transport in the Developing World: Beyond Megacities (2015)A comparison of Australians, Chinese and Sri Lankans' payment preference at point-of-sale (2021)Development of a Common Framework for Analysing Public Transport Smart Card Data (2021)Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)An integrated Bayesian approach for passenger flow assignment in metro networks (2015)
this work references cited by second hop

References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2005The potential of public transport smart card data396 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2010Travel Time and Transfer Analysis Using Transit Smart Card Data154 cited
  • 2008Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea98 cited
  • 2010Augmenting Transit Trip Characterization and Travel Behavior Comprehension78 cited
  • 2011Estimating a Transit Passenger Trip Origin-Destination Matrix Using Automatic Fare Collection System64 cited
  • 2011Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards44 cited

Cited by

  • 2018Who uses smart card? Understanding public transport payment preference in developing contexts, a case study of Manila's LRT-121 cited
  • 2015A data-driven agent-based model of congestion and scaling dynamics of rapid transit systems21 cited
  • 2022Understanding individual and collective human mobility patterns in twelve crowding events occurred in Shenzhen17 cited
  • 2014Simulating Congestion Dynamics of Train Rapid Transit Using Smart Card Data15 cited
  • 2015Two-year Worth of Smart Card Transaction Data – Extracting Longitudinal Observations for the Understanding of Travel Behaviour14 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2021Estimating left behind patterns in congested metro systems: a Bayesian model11 cited
  • 2024Impact of newly extended metro line opening on commuting carbon emissions: A comparative study before and during the pandemic10 cited
  • 2019Monitoring Multimodal Travel Environment Using Automated Fare Collection Data: Data Processing and Reliability Analysis10 cited
  • 2020Inferring origin-Destination demand and user preferences in a multi-modal travel environment using automated fare collection data10 cited
  • 2025Gaps in failure management of public transport supply in Addis Ababa: a comprehensive assessment4 cited
  • 2025Why do they travel backwards? Understanding passenger travel behaviour in congested urban public transport systems4 cited
  • 2019Using Smart Farecard Data to Support Transit Network Restructuring: Findings from Los Angeles4 cited