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

  • Transportation Engineering
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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.

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Authors and Affiliations

  1. Transportation Systems Research Team, Korea Railroad Research Institute, Uiwang, 437-757, Korea

    Jin Ki Eom

  2. Dept. of Transportation and Logistics Engineering, University of Science and Technology, Daejeon, 305-350, Korea

    Ji Young Song

  3. Railway Transport & Logistics Research Dept., Korea Railroad Research Institute, Uiwang, 437-757, Korea

    Dae-Seop Moon

Authors
  1. Jin Ki Eom
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  2. Ji Young Song
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  3. Dae-Seop Moon
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Correspondence to Jin Ki Eom.

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Eom, J.K., Song, J.Y. & Moon, DS. Analysis of public transit service performance using transit smart card data in Seoul. KSCE J Civ Eng 19, 1530–1537 (2015). https://doi.org/10.1007/s12205-015-0013-0

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  • DOI: https://doi.org/10.1007/s12205-015-0013-0

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