5.2.2.1 1 Use of Performance Targets to Support Resource Allocation

Use of Performance Targets to Support Resource Allocation / Colorado DOT

The budget-setting process used by CDOT and described in its 2018 TAMP is an example of a resource allocation process emphasizing use of performance targets to support cross-asset resource allocation. CDOT organizes its asset inventory into 11 different asset classes. Different management systems and approaches are used for each asset class to calculate current conditions and predict future performance given a specified budget and other data. The figure illustrates the asset classes and systems used to support analysis of each asset class as of 2018.

The measures used summarize conditions that vary by asset class. For instance, for pavement CDOT predicts percent of pavement with high, moderate, and low drivability life. For bridges, CDOT predicts percent of bridges in good/fair/poor condition based on the FHWA bridge condition measure. For maintenance and buildings CDOT predicts a level of service on a letter grade (A to F) scale.

On an annual basis CDOT performs a separate analysis for each asset class of existing conditions and predicted conditions for different budget scenarios. The manager for each asset class then presents a budget request and business case for the asset class in a workshop setting. Workshop participants, including the asset class managers and representatives from each CDOT region, then vote on the allocation of budget by asset class. The allocation serves as a recommendation to CDOT’s Transportation Commission, which is charged with adopting CDOT’s budget. Separate processes are used in each asset area to prioritize work once the budget is established.

Sources:

TAM Peer Exchange Presentation

CDOT TAMP https://www.codot.gov/programs/colorado-transportation-matters/documents/risk-based-transportation-asset-management-plan.pdf

CDOT Asset Classes and Analysis Systems

Source: William Johnson, 2018 FHWA TAM Peer Exchange


Read more in the chapter: 5.2.2 Use of Performance Targets to Support Cross-Asset Resource Allocation