Abstract Smartcard data from an automated fare collection system could be very useful to transit planners and researchers in several areas, such as day-to-day operation planning, transit performance measurement and passenger behavior analysis. Transfer penalties, in this paper, are assessed with a mixed logit model based on smartcard data in Seoul, South Korea, where more than 90% of transit passengers use smartcards to pay transit fares. The estimated average transfer penalty for trips to south and north CBD within Seoul is 11.24 minutes of in-vehicle time, whereas the regional transfer penalty varies widely from 1.16 minutes to 13.55 minutes of invehicle time across the districts. We also found that Seoul transit passengers have a more negative perception of transfer time relative to in-vehicle time when they travel to north CBD than to south CBD.


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    Titel :

    Transfer penalty estimation with transit trips from smartcard data in Seoul, Korea


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    21.11.2014


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch