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Title:

RISK-BASED LIFE-CYCLE COST ANALYSIS FOR PROJECT-LEVEL PAVEMENT MANAGEMENT

Accession Number:

00936201

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/152818.aspx

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Order URL: http://worldcat.org/isbn/0309077419

Abstract:

Life-cycle cost analysis (LCCA) is a decision-making tool that highway agencies may use in selecting an optimal pavement preservation strategy. Traditionally, LCCA models for pavement management use discrete input values that represent a conservative best guess of each parameter. Thus, inherent uncertainty associated with each input parameter is not considered. The model developed for this research is probabilistic and derives flexible pavement designs, generates preservation strategies, and evaluates the life-cycle costs of each alternative. Risk analysis is incorporated into the LCCA model so that the inherent uncertainty of each input parameter is considered. Other features of the model include the incorporation of functional aspects (structural capacity and pavement condition) and safety (skid resistance) into the design, the inclusion of rehabilitation and preventive maintenance as preservation strategy alternatives, and the consideration of both agency and user costs in the present-worth cost analysis. The LCCA model output consists of probability distributions that describe the total present-worth cost, the agency present-worth cost, and the user present-worth cost for each preservation strategy over a specified analysis period. The probabilistic nature of this LCCA model exposes areas of uncertainty that may be hidden in a deterministic LCCA model and allows the decision maker to assess the risk associated with each preservation strategy. Finally, a sensitivity analysis was performed to assess the effects of various input parameters on model output. The highway agency can enhance the model output by focusing more detailed data collection and parameter estimation on the model components that were identified as having a statistically significant effect on the model results.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1816, Pavement Management, Monitoring, and Accelerated Testing 2002.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Reigle, J A
Zaniewski, John P

Pagination:

p. 34-42

Publication Date:

2002

Serial:

Transportation Research Record

Issue Number: 1816
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309077419

Features:

Figures (6) ; References (12) ; Tables (3)

Subject Areas:

Design; Finance; Highways; Pavements; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

Files:

TRIS, TRB, ATRI

Created Date:

Jan 28 2003 12:00AM

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