Several different methods and techniques are currently in use for engineering economic analysis and pavement management strategy selection, including two newer approaches related to project-level strategy selection and network-level programming: Remaining Service Interval (RSI) and Cost of Ownership or Dollars per Lane-Mile per Year (DLMY). Both have a basis in LCCA techniques, with the DLMY approach offering promise for widespread implementation, particularly for pavement preservation analyses.
Many engineering economic analysis techniques (include current versions of the DLMY approach) are limited by their inability (in practice, at least) to differentiate between quantity of service (e.g., $/lane-mile/year) and quality of service (e.g., $/lane-mile/[area under the serviceability-time curve for one year]). It may be reasonable to attempt to normalize these values for the level and composition of traffic using each facility (e.g., recognizing that there is generally more value to maintaining a higher level of serviceability on a high-volume road with heavy commercial traffic than there is on a low-volume local road).
The proposed paper will describe guidance that has been developed for incorporating these concepts for DLMY and other economic analysis techniques to extend their general usefulness.