Application of data and information systems, processes, tools, and techniques to TAM decision-making, including performance targeting and prioritization programs, project-level scoping and design, as well as infrastructure and equipment maintenance practices.
Improvements in this Area are aimed at better integrating use of data and information within TAM processes including network-level investment decision-making, project-level prioritization and development, and routine maintenance decisions.Open the full set of Response Templates for Area E
Optimizing allocation of scarce resources is one of the essential goals of a TAM program. As data and analysis methods improve, agencies are able to prioritize projects and allocate resources based on a firmer, more defensible foundation.Explore Section E.1
Asset inventory, condition, work history, and treatment recommendation data can be used to support efficient project development, as well as selection of optimal design features to meet maintenance and operational needs.Explore Section E.2
The project illustrates the accumulated value and derived benefits from normalizing ratings and metrics to support cross asset planning. This work further demonstrates the value of dashboards and visualization techniques
to support decision making as well as making those decisions on prioritization defensible.
This case study demonstrates how a specific DOT could advance this element from practice level 2 to practice level 3, by implementing improvements for network-level performance monitoring programs.Explore Case Study