Abstract This study analyzed the performance of transit services using data collected from Automatic Fare Collection (AFC) system in Seoul with respect to service measures such as schedule adherence of metro, occupancy (crowdedness), and the operational speeds of buses. In order to analyze the transit services performances, we developed data-mining logics and applied them to a case study. These logics successfully indicate the route segment with a low Level of Service (LOS) for metro punctuality and bus operational speeds during peak hours (i.e., 7 a.m. to 9 a.m.). Further, a relationship between vehicle occupancy and punctuality on certain transit route segments is easily found based on the logical analysis. These empirical applications are beneficial to transit agencies and planners for improving transit service performances by using massive amount of data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis of public transit service performance using transit smart card data in Seoul


    Contributors:

    Published in:

    Publication date :

    2015-02-05


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Analysis of public transit service performance using transit smart card data in Seoul

    Eom, Jin Ki / Song, Ji Young / Moon, Dae-Seop | Online Contents | 2015


    Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea

    Park, Jin Young / Kim, Dong-Jun / Lim, Yongtaek | Transportation Research Record | 2008


    Analysis of Passenger Transfer Patterns Based on Transit Smart Card Data in Seoul

    Song, J. / Eom, J.-K. / American Society of Mechanical Engineers | British Library Conference Proceedings | 2013


    A Method for Public Transit OD Estimation Using Transit Smart Card Data

    Akif Fidanoğlu / Ilgın Gökaşar | DOAJ | 2022

    Free access