01128830

Component

https://doi.org/10.3141/2093-10

http://scholar.google.com....+Wu&publication_year=2009

Escalating construction costs caused by increasing crude oil prices have a serious impact on long-term pavement performance. There is an urgent need for transportation agencies to quantify the impact of the long-term loss of pavement performance (LOPP) and the additional pavement preservation need. This paper proposes a mathematical model that can be used to quantify LOPP. Historical data from the Georgia Department of Transportation (GDOT) from fiscal years (FYs) 1999 to 2007, including pavement survey data and resurfacing expenditures, were used to develop Markovian transition probability matrices. The average annual escalation rate (AAER), 18.1%, was obtained by analyzing the historical resurfacing costs. The impacts of different AAERs (15%, 20%, 30%, and 40%) were analyzed. At GDOT’s current funding level, the results show that the composite rating of the non-Interstate pavement network with a 40% AAER would drop to 70 almost 2 years earlier than the one with a 15% AAER. If the AAER is increased from 15% to 30%, the pavement preservation cost needed to meet the expected pavement condition triples from $1.1 billion to $3.4 billion. The LOPP that would occur if there were a sudden increase in construction costs (50%, 100%, and 150%) within a single year was also analyzed. The results showed a 7.8% LOPP for a 100% sudden increase in construction costs in FY 2009. With the impact quantified, it is hoped that transportation agencies can communicate with their state legislatures and stakeholders more transparently about their actual funding needs because of escalating construction costs. Finally, recommendations on improving the accuracy of forecasting are also discussed.

01144833

09-3222

English

pp 84-92

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309126243

Print

Figures (5) ; References (25) ; Tables (2)

Financing; Forecasting; Markov processes; Mathematical models; Needs assessment; Pavement performance

Construction costs; Markov matrices; Pavement preservation

Georgia

Finance; Highways; Maintenance and Preservation; Pavements; I10: Economics and Administration; I60: Maintenance

TRIS, TRB, ATRI

Jan 30 2009 7:38PM

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