Tracing a Logical Path of Passengers: A Case study of Seoul Metro Line 9

도시철도 승객경로 추적에 관한 연구: 서울지하철 9호선을 중심으로

Kim, Kyung Min;Oh, Suk Mun;Hong, Sung-Pil;Ko, Suk-Joon

  • Received : 2015.08.05
  • Accepted : 2015.08.25
  • Published : 2015.12.31


Based on an observation that tag-out times of passengers from Smart Card data were clustered, Hong et al.[1] recently developed a precise algorithm that detects a logical path for metro passengers. The logical path means the sequence of train boarding and alighting. In this paper, we observe that tag-out times of passengers in Seoul Metro Line 9 were also clustered; we trace an actual logical path of passengers by applying the algorithm. As a result, we identify 91% of passengers successfully and find their logical paths; we also investigate passengers'preferences between express and local trains.


Logical path;Metro;Smart card data;Express train


  1. S.P. Hong, Y.H. Min, M.J. Park, K.M. Kim, et al. (2015) Precise estimation of connections of metro passengers from Smart Card data, Transportation, Advance online publication, DOI 10.1007/s11116-015-9617-y.
  2. N. Hibino, H. Uchiyama, Y. Yamashita (2005) A study on evaluation of level of railway services in Tokyo metropolitan area based on railway network assignment analysis. Journal of the Eastern Asia Society for Transportation Studies, 6, pp. 342-355.
  3. Z. Guo, N. Wilson (2011) Assessing the cost of transfer inconvenience in public transport systems: A case study of the London underground, Transportation Research Part A, 45(9), pp. 91-104.
  4. Y. Sun, R. Xu (2012) Transit travel time reliability and estimation of passenger route choice behavior, Journal of the Transportation Research Board, 2275, pp. 58-67.
  5. J.K. Eom, M. Choi, D. Kim, J. Lee, et al. (2012) Evaluation of metro services based on transit smart card data, Journal of the Korean society for railway, 15(1), pp. 80-87.
  6. J. Baek, K. Sohn (2015) An investigation into passenger preference for express trains during peak hours, Transportation, Advance online publication. DOI 10.1007/s11116-015-9592-3
  7. J.H. Einmahl, J.R. Magnus (2008) Records in athletics through extreme-value theory, Journal of the American Statistical Association, 103(484), pp. 1382-1391.
  8. W. Jang (2010) Travel time and transfer analysis using transit smart card data, Transportation Research Record: Journal of the Transportation Research Board, 2144, pp. 142-149.

Cited by

  1. Transfer Impedence of Trip Chain with a Railway Mode Embedded - Using Seoul Metroplitan Transportation Card Data - vol.36, pp.6, 2016,
  2. Express Train Choice and Load Factor Analysis as Line Extension in Seoul Metro 9 vol.19, pp.5, 2016,


Supported by : 한국연구재단