The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
권호 표지
DOI QR코드

DOI QR Code

Constructing Transfer Data in Seoul Metropolitan Urban Railway Using Transportation Card

교통카드기반 수도권 도시철도 환승자료 구축방안

  • 이미영 (국토연구원 국토계획.지역연구본부) ;
  • 손지언 (인천발전연구원 교통물류연구실) ;
  • 조종석 (한국교통연구원 국가교통DB센터)
  • Received : 2016.08.02
  • Accepted : 2016.08.22
  • Published : 2016.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Public transportation card data, which is collected for purposes of the Integrated Public Transportation Fare System, provides neither transfer time nor transfer frequency occurring on the metropolitan city-rail (MCR). And because there are no transfer toll gates installed on the MCR, data on transfers between lines are estimated through means such as elicitations using survey questionnaire, or otherwise through macroscopic observations, which poses the risk of transfer time and frequencies being underestimated. For the accurate estimation thereof, an explanation of the transit path that arises between the Entry-and Exit-Gates must be provided. The purpose of this research is twofold : 1) to build a transit path model to reflect the current state of transfer movements on the basis of transportation card reader data, and 2) to deduce information on transfers occurring in the greater metropolis. To achieve these aims, the idea of Big Nodes is introduced in the model to align transportation card reader operation system characteristics with those of the MCR network. The link-label method is applied in the model as well to make certain that the MCR network runs in an effective manner. Administrative information obtained by the transportation card reader is used to derive transfer time and frequency both in the city's mid-zones, and in the Seoul-Gyeonggi-Incheon district's large-zones. Public transportation card data from a single specific day in year 2014 is employed in the building of the quantified transfer specific data. Extended usage thereof as providing comprehensive data of transfer resistance on the MCR is also examined.

수도권 통합대중교통요금제를 위해 생성되고 있는 교통카드자료는 수도권 도시철도의 환승시간 및 횟수정보를 제공하지 못하고 있다. 도시철도에는 환승게이트가 설치되어 있지 않아 노선간의 환승정보는 설문조사나 목측을 통한 거시적 추정으로 진행된다. 따라서 교통카드자료를 토대로 계산되는 수도권 대중교통의 환승시간 및 횟수는 과소평가되는 문제점을 내포한다. 환승자료의 정확한 추정을 위해서는 교통카드 태그가 이루어지는 진입 및 진출 게이트 사이에서 발생하는 통행경로에 대한 설명이 필요하다. 본 연구는 교통카드 단말기 태그자료를 기반으로 환승현황을 파악하기 위한 통행경로모형을 구축하고 수도권에서 발생하는 환승정보를 도출한다. 이를 위해 단말기 운영체계와 도시철도의 네트워크 특성을 일치시키기 위한 빅노드 개념을 도입한다. 또한 수도권 도시철도의 효과적 네트워크 구동을 위해 링크표지개념을 도입한다. 교통카드단말기의 행정구역정보를 토대로 시군구의 중죤, 서울-경기-인천의 대죤에서 발생하는 환승시간과 횟수를 도출한다. 2014년 일일 대중교통카드자료를 이용하여 전수화된 환승특성데이터를 구축하고 수도권 도시철도의 환승저항에 대한 통합적인 자료로서 활용가능성을 제시한다.

Keywords

References

  1. Sohn J.(2015), "Dynamic Passenger-Trip Assignment Model of Urban Railway Using Seoul-Incheon-Gyeonggi's Transportation Card," Journal of the Korean Society of Civil Engineers, vol. 36, no. 1, pp.105-114. https://doi.org/10.12652/Ksce.2016.36.1.0105
  2. Lee M.(2015), "Analysis of Transit Passenger Movement within Seoul-Gyeonggi-Incheon Area using Transportation Card Data," Korea Research institute of human settlements.
  3. Kim S.(2007), "The Estimation and Application of Origin-Destination Tables by Using Smart Card Data," Seoul Development Institute, 2007-R-11.
  4. Shin S.(2011a), "Constructing an Optimal Integrated Public Transit Network," Seoul Development Institute, 2011-PR-59.
  5. Shin S.(2011b), "Congestion Index of Urban Rail Transit Using Public Transportation Card Data," Seoul Development Institute, Working Paper, 2011-BR-04.
  6. Choi M., Eom J., Lee J. and Park J.(2011), "Evaluation of Transit Services based on Transit Smart Card Data," The Korean Society for Railway, Spring Conference 2011, pp.1811-1825.
  7. Bin M., Moon J. and Cho C.(2012), "A Study on Travel Pattern Analysis and Political Application using Transportation Card Data : In Gyeonggi-Do," Journal of the Economic Geographical Society of Korea, vol. 15, no. 4, pp.615-627. https://doi.org/10.23841/egsk.2012.15.4.615
  8. Kim S.(2012), "Travel characteristics and behavior of transit card users," The Seoul Institute, 2012-BR-07.
  9. Kim J. and Shon J.(2014), "The Congestion Index of Urban Rail for the Transportation Welfare in Incheon," Incheon Development Institute, 2014-20.
  10. Jeon S., Lee J. and Jun C.(2014), "Development of an Algorithm for Minimization of Passengers' Waiting Time Using Smart Card Data," Journal of Korea Spatial Information Society, vol. 22, no. 5, pp.65-75.
  11. Kim J. and Lee M.(2015), "Analysis of the Peak Hour Delay of Urban Rail in Incheon," The Korean Society for Railway, Spring Conference 2015, pp.310-314.
  12. Han S., Kang H. and Lee M.(2015), "Residential Distribution of Public Transport Commuter by Smart Card through the Use of the Major Subway Influence Area-Focus on Metropolitan," Journal of Korea Planning Association, vol. 50, no. 4, pp.103-117.
  13. Cheon S.(2010), "Development of A Smart Card Data-Based Stochastic Transit Assignment Model on Integrated Public Transportation Networks," Ph.D. thesis, Graduate school of Environmental Study, Seoul National University.
  14. Lee M.(2004), "Transportation Network Models and Algorithms Considering Directional Delay and Prohibitions for Intersection Movement," Ph.D. Thesis, University of Wisconsin at Madison.
  15. Lee M., Kim H., Park D. and Shin S.(2008), "A Link-Based Label Correcting Multi-Objective Shortest Paths Algorithm in Multi-Modal Transit Networks," Journal of Korean Society of Transportation, vol. 26, no. 1, pp.127-135.
  16. Metropolitan Transportation Authority(2016), "Joint Project for the Analysis of Seoul Metropolitan Passenger Ogirin and Destination Trip(OD) in 2015 Year".

Cited by

  1. Estimating Transfer Trips in Seoul Metropolitan Urban Railway (Using Transportation Card) vol.15, pp.6, 2016, https://doi.org/10.12815/kits.2016.15.6.036
  2. Transportation Card Based Optimal M-Similar Paths Searching for Estimating Passengers' Route Choice in Seoul Metropolitan Railway Network vol.16, pp.2, 2017, https://doi.org/10.12815/kits.2017.16.2.01
  3. Methodology for Assessing an Integrated Mobility of the Passenger Passing through Intermodal Transit Center vol.16, pp.5, 2017, https://doi.org/10.12815/kits.2017.16.5.12
  4. 철도수단이 내재된 통행사슬의 환승저항 추정방안 - 수도권 교통카드자료를 활용하여 - vol.36, pp.6, 2016, https://doi.org/10.12652/ksce.2016.36.6.1083
  5. 교통카드 이용자 승차 및 하차 정보를 이용한 버스 노선별 정류장 정보 생성 모형 연구 vol.12, pp.5, 2017, https://doi.org/10.13067/jkiecs.2017.12.5.873
  6. 도시철도 출·도착데이터를 이용한 승객이동 패턴 분석 vol.10, pp.12, 2016, https://doi.org/10.15207/jkcs.2019.10.12.315