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Transfer Impedence of Trip Chain with a Railway Mode Embedded - Using Seoul Metroplitan Transportation Card Data -

철도수단이 내재된 통행사슬의 환승저항 추정방안 - 수도권 교통카드자료를 활용하여 -

  • Received : 2016.10.24
  • Accepted : 2016.11.14
  • Published : 2016.12.01

Abstract

This research uses public transportation card data to analyze the inter-regional transfer times, transfer frequencies, and transfer resistance that passengers experience during transit amongst the metropolitan public transportation modes. Currently, mode transfers between bus and rail are recorded up to five times during one transit movement by Trip Chain, facilitating greater comprehension of intermodal movements. However, lack of information on what arises during these transfers poses a problem in that it leads to an underestimation of transfer resistances on the Trip Chain. As such, a path choice model that reflects passenger movements during transit activities is created, which attains explanatory power on transfer resistance through its inclusion of transfer times and frequencies. The methodology adopted in this research is to first conceptualize the idea of metropolitan public transportation transfer, and in the case that mode transfers include the city-rail, to newly conceptualize the idea of transfer resistance using transportation card data. Also, the city-rail path choice model within the Trip Chain is constructed, with transfer time and frequency used to reevaluate transfer resistance. Further, in order to align bus and city-rail station administrative level small-zone coordinates to state and regional level mid-zone coordinates, the big node methdod is utilized. Finally, case studies on trip chains using at least one transfer onto the city-rail is used to determine the validity of the results obtained.

본 연구는 대중교통카드자료를 이용해서 수도권 지역간 대중교통통행에서 승객들이 겪는 환승시간, 환승회수의 환승저항을 분석한다. 현재 교통카드자료는 버스와 철도를 이용하는 수단통행을 5회까지 Trip Chian으로 기록하여 수단간 환승과 관련된 정보는 쉽게 파악된다. 그러나 수도권 교통카드는 도시철도의 통행에서 발생하는 환승역 정보를 포함하고 있지않아 Trip Chain에서 승객이 경험하는 환승저항이 저평가되는 문제가 존재한다. 따라서 철도통행에 대하여 승객행태를 반영하는 경로선택모형으로 구축하여 환승시간과 환승회수를 반영하면 온전한 환승저항의 설명력을 갖게된다. 연구방법으로서, 우선 수도권 대중교통환승에 대한 개념을 정립하여 도시철도가 포함되는 수단이용의 경우 교통카드자료의 환승저항 개념을 새롭게 정립한다. 또한 Trip Chain내에 철도의 경로선택모형을 구축하여 환승시간 및 환승회수를 대상으로 통행저항을 재평가하여 설정한다. 그리고 버스 및 도시철도 정류장 좌표를 행정동단위의 소죤 및 시군구 단위의 중죤으로 일치시키기 위해서 빅노드를 운영하는 방법을 채택한다. 마지막으로 수도권의 지역간 통행에서 철도수단이 한번 포함된 통행사슬에 대한 사례연구를 통하여 결과의 타당성을 논의한다.

Keywords

References

  1. Kim, K., Oh, S., Hong, S. and Ko, S. (2015). "Tracing a logical path of passengers: A Case Study of Seoul Metro Line 9." Journal of the Korean Society of Railway, Vol. 18, No. 6, pp. 586-595. https://doi.org/10.7782/JKSR.2015.18.6.586
  2. Kim, S. (2012). "Travel characteristics and behavior of transit card users." The Seoul Institute, 2012-BR-07.
  3. Kim, S., Ko, J. and Lee, S. (2013). Evaluation of the Quality of Public Transport Commuting in Seoul, The Seoul Institute, 2013-PR-33.
  4. Lee, H. and Choi, J. K. (2015). "Development of an algorithm for estimating subway platform congestion using public transportation card data." Journal of the Korean Society of Railway, Vol. 18, No. 3, pp. 270-277. https://doi.org/10.7782/JKSR.2015.18.3.270
  5. Lee, M. (2015). "Analysis of transit passenger movement within seoul-gyeonggi-incheon area using transportation card data." KRIHS Policy Brief, No. 536, Korea Research Institute of Human Settlements.
  6. Lee, M., Shon, J. and Cho, C. (2016). "Constructing transfer data in seoul metropolitan urban railway using transportation card." Journal of the Korea Institue of Intelligent Transportation Systems, Vol. 15, No. 4, pp. 33-43. https://doi.org/10.12815/kits.2016.15.4.033
  7. Park, M., Eom, J. and Heo, T. (2015). "The spatial correlation of mode choice behavior based on smart card transit data in Seoul." The Korean Journal of Applied Statistics, Vol. 26, No. 4, pp. 623-634. https://doi.org/10.5351/KJAS.2013.26.4.623
  8. Shin, S., Lee, C. and Kim, C. (2010). "Allocatin revenues to metropolitan reilroad operators using public transportation card data." Journal of Korean Society of Transporation, Vol. 28, No. 2, pp. 93-102.
  9. 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