• DocumentCode
    8986
  • Title

    Deduction of Passengers´ Route Choices From Smart Card Data

  • Author

    van der Hurk, E. ; Kroon, L. ; Maroti, G. ; Vervest, P.

  • Author_Institution
    Dept. of Technol. & Oper. Manage., Erasmus Univ., Rotterdam, Netherlands
  • Volume
    16
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    430
  • Lastpage
    440
  • Abstract
    Deducing passengers´ route choices from smart card data provides public transport operators the opportunity to evaluate and improve their passenger service. Particularly in the case of disruptions, when traditional route choice models may not be valid, this is an advantage. This paper proposes a method for deducing the chosen route of passengers based on smart card data and validates this method on a real-life data set. The method deduces the correct route for about 95% of the journeys per day in our validation sample, and also in the case of disruptions. Moreover, it is shown how this method can be used to analyze and evaluate passenger service by a case study based on a real-life data set of Netherlands Railways, which is the largest passenger railway operator in the Netherlands.
  • Keywords
    data mining; public transport; railways; smart cards; traffic engineering computing; Netherlands Railways; data mining; path prediction; public transport; rail transportation; smart card data; Clocks; Conductors; Joining processes; Rail transportation; Smart cards; Time-frequency analysis; Data mining; path prediction; public transport; rail transportation; travel demand analysis; travel time variability;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2014.2333583
  • Filename
    6870438