International Journal of Highway Engineering (한국도로학회논문집)

Korean Society of Road Engineers (한국도로학회)
권호 표지
DOI QR코드

DOI QR Code

Estimation of a Level of Service and Cost of Service Function for Road Pavements for Performance Management in the Public Sector

공공부문 성과관리를 위한 도로포장의 서비스수준과 서비스비용 함수 추정

  • Received : 2016.04.11
  • Accepted : 2016.07.28
  • Published : 2016.08.16
Download PDF
⟨ Previous Next ⟩

Abstract

PURPOSES : This study aimed to evaluate the performance of pavement management works and to develop a function for estimating the level of service (LOS) and cost of service (COS) for the systematic and quantitative management of pavement performance in the public sector. METHODS : The International Roughness Index (IRI) was used as the performance index for pavement management. Long-term pavement performance data for a period of 7 years (2007-2014) collected by the National Highway Pavement Management System and historical maintenance budget data published by the South Korean government were used to develop the LOS-COS function. Based on the function, a model for estimating the appropriate budget as well as the network conditions was suggested. RESULTS : There was high degree of correlation between pavement performance and the investment level (R = - 0.74). The developed LOS-COS function suggested that the unit cost to improve the network IRI to 1 m/km was 32.6 billion KRW. Further, the maintenance costs normalized with respect to the LOS levels were LOS-A = 88.2 billion KRW, LOS-B = 55.6 billion KRW, and LOS-C = 23.0 billion KRW. CONCLUSIONS : This study proposes a simple way of developing a LOS-COS function. It also shows how to develop a network budget demand and condition estimation model using the LOS-COS function. In addition, it is the first attempt to evaluate the road maintenance budget in South Korea. It is expected that these results will help in the negotiations between the road managers and budget makers.

Keywords

References

  1. AASHTO(American Association of State highway and Transportation Officials) (2011), Asset Transportation Asset Management Guide; A Focus on Implementation, AASHTO, Washington, D.C.
  2. ASTM (2015), ASTM E1926-08: Standard Practice for Computing International Roughness Index of Roads from Longitudinal Profile Measurements, ASTM International, West Conshohocken, PA.
  3. Carter, N., Klein, R. and Day, P. (1992), How Organizations Measure Success: The Use of Performance Indicators in Government, Routledge, London.
  4. Chan, C.Y., Huang, B., Yan, X. Richards, S.H. (2009)," Effects of asphalt pavement conditions on traffic accidents in Tennessee utilizing pavement management system", Transportation Research Board Annual Meeting 2009, Paper #09-2054, Transportation Research Board, Washington, D.C.
  5. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  6. Doran, G.T. (1981), "There's a S.M.A.R.T. Way to Write Management's Goals and Objectives", Management Review, Vol. 70, No. 11, pp.35-36.
  7. Drucker, P.F., (1954), The Practice of Management, Harper & Row, New York.
  8. EX (Korean Expressway Corporation) (2012), Highway Pavement Condition Survey and Analysis (2012), Korean Expressway Corporation).
  9. FHWA (Federal Highway Administration) (2002), Pavement Smoothness Index Relationship; Final Report, Federal Highway Administration, VA.
  10. FHWA (Federal Highway Administration) (2006), Pavement Distress Identification Manual: for the NPS Road Inventory Program Cycle 4, 2006-2009(Available in: http://www.wistrans.org/mrutc/files/Distress-ID-Manual.pdf ).
  11. Han, D., Yoo, I., and Lee, S. (2014), "Development of Level of System for Road Infrastructure Asset Management", International Journal of Highway Engineering, Vol. 16, No. 4, pp. 76-86 (in Korean).
  12. IPWEA (Institute of Public Works Engineering Australasia) (2015), International Infrastructure Management Manual, 5th eds., Institute of Public Works Engineering Australasia.
  13. ISO (2014), ISO 55000-2; Asset Management, International Standard Organization, Geneva.
  14. JSCE (Japan Society of Civil Engineers) (2009), Challenge for Implementation of Asset Management(アセトマネジメント 導入への挑戦), Japan Society of Civil Engineers, Tokyo (in Japanese).
  15. Kang, J. and Cho, Y. (2001), "Suggestions for Improvement of Pavement Roughness: Case Study in Arizona state", Journal of the Korean Society of Pavement Engineers, Vol. 3, No. 2, pp.52-58. (in Korean).
  16. KICT (Korea Institute of Civil Engineering and Building Technology) (2015), Final-Report of the National Highway Pavement Management System 2015, Ministry of Land, Infrastructure and Transport, Sejeong-Si (in Korean).
  17. Kim, K. (2013)", An Analysis of the Attitude on the Performance of the Double-entry and Accrual Basis Accounting System in Korean Local Governments", Korean Governmental Accounting Review, Vol. 11, No. 1, pp.61-84 (in Korean).
  18. Kobayashi, K., Do, M., and Han, D. (2010), "Estimation of Markovian Transition Probabilities for Pavement Deterioration Forecasting", KSCE J. of Civil Engineering, Vol. 14, No. 3, pp. 341-351.
  19. Kwon, S., Kim, N. and Seo, Y. (2000)," A Study on Development of the Concrete Pavement Condition Index", Journal of the Korean Society of Pavement Engineers, Vol. 2, No. 3, pp.145-154 (in Korean).
  20. Lee, S., Bae, Y., Kwon, Y. and Kim, J. (2015), A Study for Pavement Smoothness Index Reflecting Urban Road Characteristics, Journal of Seoul Research, Vol. 16, No. 4. pp.129-145 (in Korean).
  21. Lee, W. and Kang I. (2013), "Ways to Improve Cost Management at Local Government", Korean Governmental Accounting Review, Vol. 11, No. 1, pp.31-64 (in Korean).
  22. MOLIT (Ministry of Land, Infrastructure and Transport) (2015), A Handbook of Road Works, Ministry of Land, Infrastructure and Transport, Sejeong-Si (in Korean).
  23. NAA (National Accounting Act) (2014), National Accounting Act (in Korea), Korean Government (in Korean).
  24. NRA (National Road Act) (2014), National Road Act (in Korea), Korean Government (in Korea).
  25. Odoki, J.B. and Kerali, H.G.R. (2000), Highway Development and Management Series Vol. 4: Analytical Framework and Model Descriptions, PIARC, La Defense Cedex.
  26. OECD (Organization for Economic Cooperation and Development) (1987), Pavement Management systems, Road Transport Research, OECD, Paris, France.
  27. Park, Y., Chon, B., Kim Y. and Lee S. (2010), "Development of Roughness-Model for Jointed Plain Concrete Pavement in Express Highway", Journal of Korean Society of Road Engineers, Vol. 12, No. 2, pp.9-16 (in Korean).
  28. Poister, T. (2003), Measuring Performance in Public and Nonprofit Organizations, Jossey-Bass, San Francisco.
  29. Reid, R.A., Clark, T.M. (2003), Roughness on Virginia's Road; 2003 Annual Roughness Report, Virginia Department of Transportation, Virginia. (Available in: http://www.virginiadot.org/business/resources/bu-mat-pde-03IRIReport.pdf).
  30. Sayers, M.W., Gillespie, T.D., and Queiroz, C.V.V. (1986), The International Road Roughness Experiment: Establishing Correlation and a Calibration Standard for Measurements, The World Bank Technical Paper No. 45, Washington, D.C. US.
  31. Smith, R.W. and Lynch, T, D., (2003), Public Budgeting in America (5th eds.), Pearson.
  32. Son, Y., Lee, J., Lee, S. and Jung C. (2010), "Comprehensive Evaluation of Freeway Surface Conditions based on User's Satisfaction", Journal of the Korean Society of Road Engineers, Vol. 12, No. 3, pp. 37-47 (in Korean).
  33. WSDOT (2015), WSDOT Pavement Roughness (IRI) Report: 2010-2012, WSDOT Pavement Notebook, Washington Department of Transportation, Washington DC. (Available in: http://www.wsdot.wa.gov/Business/MaterialsLab/Pavements/PavementNotebook.htm).