KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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A Benchmarking Study for Deriving Data-driven Asset Management Strategy: U.S. Federal Transit Administration (FTA) Case

데이터 기반 노후 철도시설 자산관리 전략 도출을 위한 벤치마킹 연구

  • 백승원 (연세대학교 건설환경공학과) ;
  • 유민경 (영남대학교 건설시스템공학과) ;
  • 윤성민 (영남대학교 건설시스템공학과)
  • Received : 2020.11.16
  • Accepted : 2021.03.11
  • Published : 2021.10.01
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Abstract

Rail transit agencies in Korea have been struggling to set up a performance-based rail facility maintenance plan because there are no formal definition and decision criteria for aging infrastructure. This study investigates the definition of aging infrastructure through extensive literature review and identifies benchmarking criteria through comparison with rail transit facility management systems in Korea and United States. As results, an aging infrastructure should be defined considering both service age and performance level of a facility. The priority of repair/replacement should be also determined with reasonable criteria based on relationship between service age and performance level. To determine the definition and decision criteria, a practicable classification system for aging rail transit needs to be established in accordance with classification system for performance assessment. Furthermore, a comprehensive database needs to be built including useful life, performance level, and maintenance cost of each component of rail transit. It will allow establishing an efficient budget execution plan for aging infrastructure.

현재 국내 철도시설 운영기관은 노후 시설물 판단을 위한 명확한 정의와 시설물 보수/개량 우선순위 산정 방법이 정립되지 않아 성능중심 유지관리계획 수립에 어려움을 겪고 있다. 따라서, 본 연구는 선행연구에서 노후 시설물을 어떻게 정의하였는지 고찰하고, 국내 노후 철도시설물 관리제도와 미국 연방대중교통청(FTA)의 교통시설물 자산관리체계 비교분석을 통해 벤치마킹 포인트를 도출하였다. 노후 시설물 판단은 경과연수와 성능수준을 같이 고려해야 하며, 경과연수와 성능등급 간 관계를 통계적으로 분석하여 보수/개량 우선순위를 산정해야 한다. 또한, FTA와 같은 데이터 기반 철도시설 관리를 위해서는 표준 철도시설물 분류체계를 기반으로 시설물 분류 하위 수준에서 내용연수, 성능평가 결과, 유지관리비용 데이터베이스를 구축하는 것이 필요하다. 향후 데이터가 충분히 축적되면 성능중심 노후 철도시설 관리를 위한 효율적 예산집행계획 수립에 기여할 것으로 기대된다.

Keywords

Acknowledgement

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원(NRF-2020R1F1A1070612) 및 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원(P0008475, 2021년 스마트 디지털엔지니어링전문인력양성사업)을 받아 수행된 연구임. 본 논문은 2020 CONVENTION 논문을 수정·보완하여 작성되었습니다.

References

  1. Ahn, J. W., Cho, J. H. and Lee, S. H. (2017). Strengthening publicprivate partnership for infrastructure asset management, Korea Research Institute of Human Settlements, KRIHS (in Korean).
  2. Ahn, K. W., Oh, J. H., Park, J. H., Woo, S. G., Park, J. S., Kim J. I., Jang, I. S. and Madanat, S. (2013). The new transport SOC strategies and policies in response to changes in socio-economic circumstances: Development of SOC monitoring indicators and adoption of deteriorated infrastructure management system, The Korea Transport Institute, KOTI, 2013-22 (in Korean).
  3. Cevallos, F. (2016). State of good repair performance measures: Assessing asset condition, age, and performance data, U.S. National Center for Transit Research.
  4. Chin, K. H., Lee, Y. H., Jung, I. S. and Kim, Y. H. (2017). A study on establishment of medium and long-term improvement investment plan of aging national railway facilities, Korea Institute of Construction Technology, KICT (in Korean).
  5. Cho, D. Y., Jung, H. S. and Gong, J. H. (2018). Research on infrastructure maintenance systems in major overseas countries, National Assembly Research Service, NARS (in Korean).
  6. Cho, J. Y. (2017). Strategies and policy implications for responding to old infrastructure in Japan, Korea Research Institute for Construction Policy, RICON, Construction Policy Review, 2017-11 (in Korean).
  7. Cho, T. H., Lee, B. C. and Do, K. T. (2012). "A stu dy on the estimation of useful life for individual asset." National Account Review, Bank of Korea, Vol. 2012. No. 1. pp. 1-46 (in Korean).
  8. Cohen, H. S. and Barr, J. (2012). "State of good repair: Prioritizing the rehabilitation and replacement of existing capital assets and evaluating the implications for transit." U.S. Transportation Research Board, Vol. 157.
  9. Japan Ministry of Land, Infrastructure, Transport and Tourism (MLIT) (2015). Road maintenance in japan: problems and solutions, Available at: https://www.mlit.go.jp/road/road_e/s3_maintenance.html (Accessed: November 16, 2020).
  10. Jung, D. S., Ahn, G. K., Kim, C. Y., Park, S. H., Kim, J. H., Shin, B. G. and Yang, H. M. (2016). Establishment of research foundation for longevity of bridges in public service through performance evaluation of aged (demolishing) bridge, Korea Construction Engineering Development Collaboratory Management Institute, KOCED (in Korean).
  11. Kim, J. Y., Cho, J. S. and Lee, J. H. (2015). Investment paradigm and policy corresponding to transport infrastructure deterioration, The Korea Transport Institute, KOTI, MP-15-07 (in Korean).
  12. Korea Appraisal Board (KAB) (2013). List of useful life of tangible fixed assets. Available at: http://www.kab.co.kr/kab/home/main/main.jsp (Accessed: November 16, 2020) (in Korean).
  13. Korea Ministry of Economy and Finance (MOEF) (2011). Asset revaluation accounting guidelines (in Korean).
  14. Korea Ministry of Land, Infrastructure and Transport (MOLIT) (2019). Comprehensive countermeasures to strengthen safety for sustainable infrastructure (in Korean).
  15. Lee, S. W., Kim, J. J., Uhm, K. Y. and Kim, S. H. (2019). The necessity of expanding investment in old infrastructure and policy measures, Construction and Economy Research Institute of Korea, CERIK (in Korean).
  16. Park, K. T., Park, H. S., Lee, J. S., Yoo, Y. J., Lee, Y. H., Seo, D. W., Kim, B. C., Min, J, Y., Na, W. K., Park, J. S., Jung, G. S., Kim, G. Y. and Lee, S. H. (2018). Development of mid.long term data based standardized platform and service technology for aging infrastructure maintenance, Korea Institute of Construction Technology, KICT (in Korean).
  17. Tamakoshi, T., Shirato, M., Yokoi, Y., Mabuchi, T. and Yabu, M. (2014). Guidelines for periodic road structure inspections, Japan National Institute for Land and Infrastructure Management (NILIM). Available at: http://www.nilim.go.jp/english/annual/annual2015/pdf_file/43.pdf (Accessed: November 16, 2020).
  18. U.K. Highways England (2020). Highway England operational metrics manual, Available at: https://highwaysengland.co.uk/publications/ (Accessed: November 16, 2020).
  19. U.K. Ministry of Defense (MOD) (2009). UK railways permanent way design and maintenance policy and standards.
  20. U.S. Department of Defense (DOD) (2008). Railroad track maintenance and safety standards.
  21. U.S. Federal Railroad Administration (FRA) (2016). Benefit-cost analysis guidance for rail projects.
  22. U.S. Federal Transit Administration (FTA) (2016). Transit asset management final rule, Available at: https://www.transit.dot.gov/sites/fta.dot.gov/files/docs/Transit%20Asset%20Management%20Final%20Rule.pdf (Accessed: November 16, 2020).
  23. U.S. Federal Transit Administration (FTA) (2017). Transit asset management final rule fact sheet, Available at: https://www.transit.dot.gov/TAM/rulemaking/finalrulefactsheet (Accessed: November 16, 2020).
  24. U.S. Federal Transit Administration (FTA) (2020). Performance measures - Facilities, Available at: https://www.transit.dot.gov/PerformanceManagement (Accessed: November 16, 2020).
  25. U.S. Minnesota Department of Transportation (MNDOT) (2019). Minnesota transportation asset management plan.
  26. U.S. Regional Transporation Authority (RTA) (2016). Capital asset condition 2016 - Year 5 assessment.
  27. Yoo, B. K. and Kim, D. Y. (2013). Current state of aging infrastructure and problems, Weekly Economic Review. Hyundai Research Institute (in Korean).
  28. Yoon, J. S. (2020). 28% of aged rail infrastructure have passed 40 years or more after construction., Yonhap News, Available at: https://www.yna.co.kr/view/AKR20200917052000003?input=1195m (Accessed: Feburary 9, 2021).