DOI QR코드

DOI QR Code

An Analysis Model on Passenger Pedestrian Flow within Subway Stations - Using Smart Card Data -

지하철역사내 승객보행흐름 분석모형 - 교통카드자료를 활용하여 -

  • 이미영 (국토연구원 국토계획.지역연구본부) ;
  • 신성일 (서울연구원 교통시스템연구실) ;
  • 김부원 ((주)글로벌건설이엔지)
  • Received : 2018.09.27
  • Accepted : 2018.10.28
  • Published : 2018.12.31

Abstract

Pedestrian movement of passengers using smart card within stations can be divided into three types of activities - straight ride and alight, line transfer, and station transfer. Straight ride and alight is transfer activity for which the card terminal and embarking line are identical. In this case, straight ride occurs at the origin station and straight alight occurs at the destination station. Line transfer refers to activity in which the subway line embarked on by the passenger is different from that which is disembarked. Succinctly, line transfer is transfer at a middle station, rather than at origin or destination stations. Station transfer occurs when the card terminal line and embarking line are different. It appears when station transfer happens at the origin station as starting transfer, and at the destination station as destination transfer. In the case of Metropolitan smart card data, origin and destination station card terminal line number data is recorded, but subway line data does not exist. Consequently, transportation card data, as it exists, cannot adequately be used to analyze pedestrian movement as a whole in subway stations. This research uses the smart card data, with its constraints, to propose an analysis model for passenger pedestrian movement within subway stations. To achieve this, a path selection model is constructed, which links origin and destination stations, and then applied for analysis. Finally, a case study of the metropolitan subway is undertaken and pedestrian volume analyzed.

교통카드를 이용하는 승객의 지하철역사내에서 보행이동은 직승직하, 노선환승, 역사환승 3가지로 구분된다. 직승직하는 단말기노선과 열차노선이 동일한 상황에서 나타나는 통행을 의미한다. 직승은 출발역에서 직하는 도착역에서 각각 나타난다. 노선환승은 승객이 하차 및 승차한 열차노선이 다른 상황에서 발생한다. 노선환승은 출발역과 도착역이 아닌 중간역의 환승보행통행이다. 역사환승은 단말기노선과 열차노선이 다른 경우 나타난다. 역사환승은 출발역에서 출발환승과 도착역에서 도착환승으로 나타난다. 수도권 교통카드는 출발역 및 도착역 단말기노선번호가 기록되나 열차노선정보가 존재하지 않는다. 따라서 지하철역사를 보행하는 승객의 전체흐름을 분석하기 위해서 카드자료가 활용되지 못하고 있다. 본 연구는 교통카드자료의 제한된 정보를 활용하여 지하철역사내 승객의 보행이동 분석모형을 제안한다. 이를 위해 출발역과 도착역을 연결하는 경로선택모형을 구축하여 열차노선을 분석하는 개념을 적용한다. 수도권지하철을 대상으로 사례연구를 시행하여 보행통행을 분석한다.

Keywords

References

  1. Azevedo J. A., Costa M. E. O. S., Madeira J. J. E. R. S. and Martins E. Q. V.(1993), "An Algorithm from the Ranking of Shortest Paths," European Journal of Operational Research, vol. 69, pp.97-106. https://doi.org/10.1016/0377-2217(93)90095-5
  2. Kirby R. F. and Potts R. B.(1969), "The Minimum Route Problem for Networks with Turn Penalties and Prohibitions," Transportation Research, 3, pp.397-408. https://doi.org/10.1016/S0041-1647(69)80022-5
  3. Lee M.(2004), Transportation Network Models and Algorithms Considering Directional Delay and Prohibitions for Intersection Movement, Ph.D. Thesis, University of Wisconsin at Madison.
  4. Lee M.(2017), "Transportation Card Based Optimal M-Similar Paths Searching for Estimating Passengers' Route Choice in Seoul Metropolitan Railway Network," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 16, no. 2 pp.1-12. https://doi.org/10.12815/kits.2017.16.2.01
  5. Martins E. Q. V.(1984), "An Algorithm for Ranking Paths That May Contain Cycles," European Journal of Operational Research, vol. 18, pp.123-130. https://doi.org/10.1016/0377-2217(84)90269-8
  6. Shin S.(2004), "Finding the First K Loopless Paths in A Transportation Network," Journal of Korean Society of Transportation, vol. 22, no. 6, pp.121-131.