Maintenance Cost Prediction for Roads [Kumar, RMIT] 2003-029-C
Project participants and team members |
Arun Kumar | |
Qld Dept of Main Roads | Neil Robertson, John Spathonis | |
Qld Dept of Public Works | Dale Gilbert | |
Queensland University of Technology | Andreas Nata-Atmadja | |
RMIT | Saman De Silva,Richard Heaney, Arun Kumar- Project Leader, Anthony Piyatrapoomi |
Project description |
Road agencies, like all public infrastructure agencies, face many challenges in the short to long-term. These include:
the issues that surround ageing infrastructure
the increasing demand for resourcing maintenance and restoration needs for the infrastructure, at the expense of the development of new or upgraded infrastructure
the public demand for greater accountability for the use of public funds
the need for sophisticated risk management approaches that will consider both financial and non-financial impacts.
Currently life cycle budget predictions (primarily maintenance and rehabilitation) are generally based on "representative" or "average" estimates of many input variables. The budget predictions therefore approximate to a 50% probability of being exceeded. With this research outcome, the life cycle budget estimates can be refined to 80% to 90% certainty.