Report : review of the literature : maintenance and rehabilitation costs for roads (Risk-based Analysis)
CRC Construction Innovation (2004) Report : review of the literature : maintenance and rehabilitation costs for roads (Risk-based Analysis). CRC for Construction Innovation, Brisbane.
Realistic estimates of short- and long-term (strategic) budgets for maintenance and
rehabilitation of road assessment management should consider the stochastic
characteristics of asset conditions of the road networks so that the overall variability
of road asset data conditions is taken into account.
The probability theory has been used for assessing life-cycle costs for bridge
infrastructures by Kong and Frangopol (2003), Zayed et.al. (2002), Kong and
Frangopol (2003), Liu and Frangopol (2004), Noortwijk and Frangopol (2004), Novick
(1993). Salem 2003 cited the importance of the collection and analysis of existing
data on total costs for all life-cycle phases of existing infrastructure, including bridges,
road etc., and the use of realistic methods for calculating the probable useful life of
these infrastructures (Salem et. al. 2003). Zayed et. al. (2002) reported conflicting
results in life-cycle cost analysis using deterministic and stochastic methods.
Frangopol et. al. 2001 suggested that additional research was required to develop
better life-cycle models and tools to quantify risks, and benefits associated with
It is evident from the review of the literature that there is very limited information on
the methodology that uses the stochastic characteristics of asset condition data for
assessing budgets/costs for road maintenance and rehabilitation (Abaza 2002,
Salem et. al. 2003, Zhao, et. al. 2004). Due to this limited information in the research
literature, this report will describe and summarise the methodologies presented by
each publication and also suggest a methodology for the current research project
funded under the Cooperative Research Centre for Construction Innovation CRC CI
project no 2003-029-C.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Keywords:||CRC for Construction Innovation, Program C : Delivery Management of Built Assets , Project 2003-029-C : Maintenance Cost Prediction for Roads|
|Divisions:||Current > Research Centres > CRC Construction Innovation|
|Copyright Owner:||Copyright 2004 Icon.Net Pty Ltd|
|Copyright Statement:||The Participants of the CRC for Construction Innovation have delegated authority to the CEO of the CRC to give Participants permission to publish material created by the CRC for Construction Innovation. This delegation is contained in Clause 30 of the Agreement for the Establishment and Operation of the Cooperative Research Centre for Construction Innovation. The CEO of the CRC for Construction Innovation gives permission to the Queensland University of Technology to publish the papers/publications provided in the collection in QUT ePrints provided that the publications are published in full. Icon.Net Pty Ltd retains copyright to the publications. Any other usage is prohibited without the express permission of the CEO of the CRC. The CRC warrants that Icon.Net Pty Ltd holds copyright to all papers/reports/publications produced by the CRC for Construction Innovation.|
|Deposited On:||27 Aug 2009 12:28|
|Last Modified:||09 Jun 2010 23:59|
Repository Staff Only: item control page