SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Use of Mobile Ticketing Data to Estimate an Origin–Destination Matrix for New York City Ferry Service
14 references·5 citing·28 second hop
Use of Mobile Ticketing Data to Estimate an Origin–Destination Matrix for New York City Ferry Service (2016)Use of Mobile Ticketing Data to Estimate …Travel Patterns of Urban Linear Ferry Passengers (2015)Travel Patterns of Urban Line…Forecasting Mobile Ticketing Adoption on Commuter Rail (2014)Forecasting Mobile Ticketing …Estimating Transit Route OD Flow Matrices from APC Data on Multiple Bus Trips Using the IPF Method with an Iteratively Improved Base: Method and Empirical Evaluation (2014)Estimating Transit Route OD F…Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Automated Inference of Linked…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …Smart card data use in public transit: A literature review (2011)Smart card data use in public…Effect of Onboard Survey Sample Size on Estimation of Transit Bus Route Passenger Origin–Destination Flow Matrix Using Automatic Passenger Counter Data (2011)Effect of Onboard Survey Samp…Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Bus Passenger Origin-Destinat…Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil (2008)Constructing an Automated Bus…Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Estimating a Rail Passenger T…Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems (2006)Bus passenger Origin-Destinat…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Origin and Destination Estima…Creating synthetic baseline populations (1996)Creating synthetic baseline p…ALTERNATIVE METHODS TO ESTIMATE ROUTE-LEVEL TRIP TABLES AND EXPAND ON-BOARD SURVEYS (1985)ALTERNATIVE METHODS TO ESTIMA…Digital payment adoption in public transportation: Mediating role of mode choice segments in developing cities (2024)Digital payment adoption in p…Estimation and prediction of dynamic matrix travel on a public transport corridor using historical data and real-time information (2020)Estimation and prediction of …Water transit and excess travel: discrete choice modelling of bus and ferry trips in Brisbane, Australia (2019)Water transit and excess trav…Identifying commonly used and potentially unsafe transit transfers with crowdsourcing (2019)Identifying commonly used and…A Synthesis of Mobile Ticketing Applications Used by Commuter Railroads in the United States (2018)A Synthesis of Mobile Ticketi…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Real-time holding control for high-frequency transit with dynamics (2015)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Crowding valuation in urban tram and bus transportation based on smart card data (2018)An evaluation of activity-based travel analysis (1988)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)TRANSIMS: Transportation analysis and simulation system (1995)Microsimulating urban systems (2003)Simulation based population synthesis (2013)Neighborhood Income Composition by Household Race and Income, 1990–2009 (2015)Property, Privacy, and Personal Data (2004)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The potential of public transport smart card data (2005)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)Clustering Smart Card Data for Urban Mobility Analysis (2016)Transport modelling in the age of big data (2017)Mining smart card data for transit riders’ travel patterns (2013)Detecting the dynamics of urban structure through spatial network analysis (2014)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity (2017)Transit smart card data mining for passenger origin information extraction (2012)Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation (2015)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Reverse assignment: calibrating link cost functions and updating demand from traffic counts and time measurements (2011)Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets (2015)Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices (2020)
this work references cited by second hop

References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
  • 1996Creating synthetic baseline populations491 cited
  • 2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems296 cited
  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems217 cited
  • 2013Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data163 cited
  • 2008Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil106 cited
  • 2006Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems97 cited
  • 1985ALTERNATIVE METHODS TO ESTIMATE ROUTE-LEVEL TRIP TABLES AND EXPAND ON-BOARD SURVEYS70 cited
  • 2014Forecasting Mobile Ticketing Adoption on Commuter Rail29 cited
  • 2011Effect of Onboard Survey Sample Size on Estimation of Transit Bus Route Passenger Origin–Destination Flow Matrix Using Automatic Passenger Counter Data29 cited
  • 2014Estimating Transit Route OD Flow Matrices from APC Data on Multiple Bus Trips Using the IPF Method with an Iteratively Improved Base: Method and Empirical Evaluation

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

26 cited
  • 2015Travel Patterns of Urban Linear Ferry Passengers23 cited
  • Cited by

    • 2019Identifying commonly used and potentially unsafe transit transfers with crowdsourcing16 cited
    • 2020Estimation and prediction of dynamic matrix travel on a public transport corridor using historical data and real-time information14 cited
    • 2019Water transit and excess travel: discrete choice modelling of bus and ferry trips in Brisbane, Australia13 cited
    • 2024Digital payment adoption in public transportation: Mediating role of mode choice segments in developing cities12 cited
    • 2018A Synthesis of Mobile Ticketing Applications Used by Commuter Railroads in the United States7 cited