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Estimation of Denied Boarding in Urban Rail Systems: Alternative Formulations and Comparative Analysis
8 references·12 citing·47 second hop
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this work references cited by second hop

References

  • 2011Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal218 cited
  • 2011A schedule-based assignment model with explicit capacity constraints for congested transit networks146 cited
  • 2017A probabilistic Passenger-to-Train Assignment Model based on automated data103 cited
  • 2015The distribution of crowding costs in public transport: New evidence from Paris92 cited
  • 2018A strategy-based recursive path choice model for public transit smart card data56 cited
  • 2017Inferring left behind passengers in congested metro systems from automated data51 cited
  • 2015Modeling Bus Travel Time Reliability with Supply and Demand Data from Automatic Vehicle Location and Smart Card Systems47 cited
  • 2018Mobility Patterns, Big Data and Transport Analytics39 cited

Cited by

  • 2021Passenger itinerary inference model for congested urban rail networks35 cited
  • 2019Optimal design of promotion based demand management strategies in urban rail systems33 cited
  • 2022Survey of Automated Fare Collection Solutions in Public Transportation29 cited
  • 2020Spatio-temporal trajectory estimation based on incomplete Wi-Fi probe data in urban rail transit network28 cited
  • 2022Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach18 cited

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

  • 2022Quantifying out-of-station waiting time in oversaturated urban metro systems17 cited
  • 2024Route choice modelling for an urban rail transit network: past, recent progress and future prospects13 cited
  • 2024Logistic model for pattern inference of subway passenger flows based on fare collection and vehicle location data7 cited
  • 2023Exploring alternative bus operations strategies for adaptive and efficient transit systems in the face of disruptions6 cited
  • 2025Utilizing a data-driven methodology to resolve the passenger-to-train assignment problem5 cited
  • 2023Spatiotemporal path inference model for urban rail transit passengers based on travel time data5 cited
  • 2024Estimating Left Behind Passengers and Train Loads in Congested Urban Rail Transit Networks: A Data-Driven Passenger-to-Train Assignment Approach3 cited