Life Cycle Cost Analysis on pavement inspection intervals considering maintenance work delay

Inspection strategy has a significant effect on the entire working process of pavement management. Most countries or road agencies casually define their inspection intervals without careful consideration. Moreover, most conventional pavement management analysis models do not treat inspection strategy as an important issue. Thus, with an economic analysis of inspection intervals, this paper aims to give a wider publicity to the importance of inspection strategy. An improved LCCA (Life Cycle Cost Analysis) model has been developed as an analytical tool. This model can take delays into consideration, as well as estimate various LCC contents and decision indicators. Both the hypothesis and the developed LCCA model have been empirically tested with pavement data from Korean National Highways. As a result, we can confirm that 1) the inspection interval affects overall management activities and LCCA results, 2) the suggested method shows an improvement in estimation results which consider the effects of delay in maintenance, and 3) either a 2 year or 3 year interval is the most beneficial interval, from both engineering and economical perspectives. In conclusion, the inspection interval needs to be carefully determined by analysis works. It is potentially a critical index that will improve current management strategy by in-house efforts.

[1]  Kiyoshi Kobayashi,et al.  A statistical deterioration forecasting method using hidden Markov model for infrastructure management , 2012 .

[2]  Kiyoyuki Kaito,et al.  Obstacle Emergence Risk and Road Patrol Policy , 2012 .

[3]  B. E. Hicks Pavement management guide , 1977 .

[4]  Tien Fang Fwa,et al.  The Handbook of Highway Engineering , 2005 .

[5]  B. Castanier,et al.  Optimal highway maintenance policies under uncertainty , 2008, 2008 Annual Reliability and Maintainability Symposium.

[6]  Jidong Yang,et al.  Use of Recurrent Markov Chains for Modeling the Crack Performance of Flexible Pavements , 2005 .

[7]  Kiyoshi Kobayashi,et al.  Estimation of Markovian transition probabilities for pavement deterioration forecasting , 2010 .

[8]  Moshe E. Ben-Akiva,et al.  Optimal Inspection and Repair Policies for Infrastructure Facilities , 1994, Transp. Sci..

[9]  Kiyoshi Kobayashi,et al.  Deterioration Forecasting Model with Multistage Weibull Hazard Functions , 2010 .

[10]  Ralph Haas,et al.  Infrastructure Management: Integrating Design, Construction, Maintenance, Rehabilitation and Renovation , 1997 .

[11]  S. Emerson,et al.  AASHTO (American Association of State Highway and Transportation Officials). 2001. A Policy on Geometric Design of Highways and Streets. Fourth Edition. Washington, D.C. , 2007 .

[12]  Karl H. Frank,et al.  Reliability-Based Optimal Inspection for Fracture-Critical Steel Bridge Members , 2003 .

[13]  Kiyoshi Kobayashi,et al.  Optimal Repair and Inspection Rules under Uncertainty , 2008 .

[14]  Stephen H Richards,et al.  Investigating effects of asphalt pavement conditions on traffic accidents in Tennessee based on the pavement management system (PMS) , 2010 .

[15]  Makarand Hastak,et al.  Infrastructure Planning Handbook: Planning, Engineering, and Economics , 2006 .