Journal of the Korean Society for Railway (한국철도학회논문집)

The Korean Society for Railway (한국철도학회)
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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 (Korea Railroad Research Institute) ;
  • Oh, Suk Mun (Korea Railroad Research Institute) ;
  • Hong, Sung-Pil (Department of Industrial Engineering, Seoul National University) ;
  • Ko, Suk-Joon (Department of Industrial Engineering, Seoul National University)
  • Received : 2015.08.05
  • Accepted : 2015.08.25
  • Published : 2015.12.31
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Abstract

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.

최근 Hong et al.[1]은 같은 열차에서 하차한 승객들의 교통카드데이터 퇴장시각이 군집(cluster)을 이루어 나타나는 특성을 이용해 도시철도 승객의 실제 이용 경로와 열차를 추적하는 방법론을 제시하였다. 본 논문에서는 급행열차와 일반열차가 혼합 운영되는 서울 지하철 9호선에서도 퇴장시각이 같은 특성을 보임을 확인하고 Hong et al.[1]의 방법론을 사용하여 승객이 실제 이용한 열차를 추적하였다. 오전 시간대(6시~10시) 상행 승객에 대한 추적결과 전체 승객 중 91% 승객에 대해서 성공하였다. 이 결과를 바탕으로 일반열차와 급행열차에 대한 승객의 선호 및 이용행태를 분석하였다.

Keywords

References

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  2. Express Train Choice and Load Factor Analysis as Line Extension in Seoul Metro 9 vol.19, pp.5, 2016, https://doi.org/10.7782/JKSR.2016.19.5.663