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

  • 제16권6호
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  • Pages.112-123
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  • 2017
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  • 1738-0774(pISSN)
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  • 2384-1729(eISSN)
한국ITS학회 (The Korea Institute of Intelligent Transport Systems)
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정시성 확보를 위한 버스노선 당 적정 운행시간 산정 연구

Study on the Optimum Route Travel Time for Bus to Improve Bus Schedule Reliability

  • 김민주 (서울대학교 환경대학원 환경계획학과 교통학전공) ;
  • 이영인 (서울대학교 환경대학원 환경계획학과)
  • Kim, Min ju (Transportation studies Group, Department of Environmental Planning, Seoul National University) ;
  • Lee, Young ihn (Department of Environmental Planning, Seoul National University)
  • 투고 : 2017.07.03
  • 심사 : 2017.09.04
  • 발행 : 2017.12.31
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초록

정부의 대중교통활성화 정책과 이용자들의 승용차에서 버스나 지하철로의 수단 전환으로, 대중교통의 정확한 배차시간과 도착시간의 확보가 중요해졌다. 서울시에서 제공하는 버스운행관리시스템(BMS : Bus Management System) 자료를 이용하여, 실시간 버스위치, 배차간격, 운행이력 등의 정보를 알 수 있다. 본 연구에서는 BMS 자료를 이용하여 안전운행을 하면서 정시성도 확보할 수 있는 방안을 제안하고자 한다. 다른 연구와는 다르게, 버스 정류장 사이 구간을 5개의 지점과 6개의 시간으로 나누어, 각각의 시간을 BMS 자료를 이용하여 산정하였다. 또한, 각 시간에 영향을 주는 주된 원인을 살펴보고, 요소별 평균, 표준편차, 변동계수를 이용하여 정류장 별 정시성과 안전성, 이동성을 모두 확보한 버스 노선의 적정 운행시간을 제안하였다.

The accurate forecasting of the public transportation's transit and arrival time has become increasingly important as more people use buses and subways instead of personal vehicles under the government's public transportation promotion policy. Using bus management system (BMS) data, which provide information on the real-time bus location, operation interval, and operation history, it is now possible to analyze the bus schedule reliability. However, the punctuality should always be considered together with the operation safety. Therefore, this study suggests a new methodology to secure both reliability and safety using the BMS data. Unlike other studies, we calculated the bus travel time between two bus stops by dividing the total travel length into 6 sections using 5 different measuring points. In addition, the optimal travel time for each bus route was proposed by analyzing the mean, standard deviation and coefficient of variation of the each section's measurement. This will ensure the reliability, safety and mobility of the bus operation.

키워드

참고문헌

  1. Bertini R. L. and El-Geneidy A. M.(2004), "Modeling Transit Trip Time Using Archived Bus Dispatch System Data," Journal of transportation engineering, vol. 130, no. 1, pp.56-67. https://doi.org/10.1061/(ASCE)0733-947X(2004)130:1(56)
  2. David L. U., John A., Rabi M. and Nigel W.(2010), "Service reliability measurement using automated fare card data: Application to the London underground," Transportation Research Record: Journal of the Transportation Research Board, no. 2143, pp.92-99.
  3. Jung Y. I. and Oh S. J.(2013), "Analysis of On-time Performance in Cheongju Bus Transit Using BMS Data," Chungbuk Research Institute, vol. 24, no. 2, pp.43-56.
  4. Ko S. Y., Park J. S. and Kim E. H.(2005), "A Development of Punctuality Index for Bus Operation and Analysis of its Characteristics," Journal of Korean Society of Transportation, vol. 23, no. 2, pp.131-141.
  5. Lee H. S., Lim J. S., Jung Y. J. and Kim Y. C.(2008), "Bus Reliability Management Policy and Evaluation of Seoul Metropolitan Based on APTS Data," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 7, no. 2, pp.1-12.
  6. Lee K. S., Ahn S. C., Kim G. H. and Kim W. C.(1999), Introduction to Statistics, Free Academy(Seoul), p.30.
  7. Mazloumi E., Rose G., Currie G. and Sarvi M.(2011), "An Intergrated Framework to Predict Bus Travel Time and Its Variability Using Traffic Flow Data," Journal of Intelligent Transportation Systems, vol. 15, no. 2, pp.75-90. https://doi.org/10.1080/15472450.2011.570109
  8. Ministry of Land, Infrastructure and Transport(2013), Korea Highway Capacity Manual(KHCM), Korea, p.597.
  9. Nelson C.(2012), "Quantifying public transport reliability in Zurich," Transportation Research Record Journal of the Transportation Research Board, no. 274, pp.114-125.
  10. Oded C.(2014), "Regularity-driven bus operation: Principles, implementation and business models," Transport Policy, vol. 35, pp.223-230.
  11. Oh M. Y., Jung C. Y. and Shon E. Y.(2009), "Analysis on Reliabilities of Seoul's Trunk Bus Lines Using BMS Data(though Data Envelopment Analysis)," Journal of Korean Society of Transportation, vol. 27, no. 1, pp.63-71.
  12. Seoul Metropolitan Government, http://bus.go.kr/UseInfo.jsp?main=1, 2016.11.24.
  13. Seoul Metropolitan Government, http://opengov.seoul.go.kr, 2016.11.28.
  14. Seoul Metropolitan Government, http://socialindex.seoul.go.kr/represent30Indicator/view.do?metricGrpId=P000211&fid=&mid=C002250, 2016.11.19.
  15. Seoul Metropolitan Government, http://traffic.seoul.go.kr/archives/289, 2017.06.12.
  16. Seoul Topis, http://topis.seoul.go.kr, 2016.12.09.