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Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data
8 references·2 citing·29 second hop
Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data (2016)Comparison of passengers' behavior and ag…Validating travel behavior estimated from smartcard data (2014)Validating travel behavior es…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Bus Passenger Origin-Destinat…Study on the Method of Constructing Bus Stops OD Matrix Based on IC Card Data (2007)Study on the Method of Constr…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Individual Trip Destination E…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Origin and Destination Estima…Transit Assignment for Congested Public Transport Systems: An Equilibrium Model (1993)Transit Assignment for Conges…Common Bus Lines (1975)Common Bus LinesImproved algorithms for trip‐chain estimation using massive student behaviour data from urban transit systems (2018)Improved algorithms for trip‐…Workshop 5 report: Harnessing big data (2016)Workshop 5 report: Harnessing…The potential of public transport smart card data (2005)Smart card data use in public transit: A literature review (2011)Activity detection and transfer identification for public transit fare card data (2015)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)An efficient approach to solving the road network equilibrium traffic assignment problem (1975)An Efficient Method for Computing Traffic Equilibria in Networks with Asymmetric Transportation Costs (1984)Optimal strategies: A new assignment model for transit networks (1989)Transit route and frequency design: Bi-level modeling and hybrid artificial bee colony algorithm approach (2014)Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Crowding valuation in urban tram and bus transportation based on smart card data (2018)Classification of London's public transport users using smart card data (2013)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)Mining smart card data for transit riders’ travel patterns (2013)Alighting location estimation from public transit data: a case study of Shenzhen (2024)A stochastic user equilibrium assignment model for congested transit networks (1999)Common-Lines and Passenger Assignment in Congested Transit Networks (2001)A frequency-based assignment model for congested transit networks with strict capacity constraints: characterization and computation of equilibria (2005)Behavioural data mining of transit smart card data: A data fusion approach (2014)Clustering Smart Card Data for Urban Mobility Analysis (2016)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)Transport modelling in the age of big data (2017)Extracting bus transit boarding stop information using smart card transaction data (2018)Passenger travel characteristics and bus operational states: a study based on IC card and GPS data in Yinchuan, China (2019)Origin–destination matrices from smartphone apps for bus networks (2024)
this work references cited by second hop

References

  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
  • 1993Transit Assignment for Congested Public Transport Systems: An Equilibrium Model408 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 1975Common Bus Lines264 cited
  • 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems217 cited
  • 2014Validating travel behavior estimated from smartcard data156 cited
  • 2007Study on the Method of Constructing Bus Stops OD Matrix Based on IC Card Data31 cited

Cited by

  • 2016Workshop 5 report: Harnessing big data12 cited
  • 2018Improved algorithms for trip‐chain estimation using massive student behaviour data from urban transit systems6 cited

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