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Title: Methodology and Benefits of a Performance-Based, Cross-Asset Resource Allocation Approach Towards Systemic Transportation Infrastructure Management
Accession Number: 01518976
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: A significant gap in transportation infrastructure management practices has been the alignment of performance measurement with cross-asset resource allocation. Predicated by Moving Ahead for Progress in the 21st Century Act (MAP-21), performance-based asset management provides a framework for linking performance goals and objectives with the planning and programming of transportation improvement projects. In practice, project selection has often been based within asset “silos” - that is, projects are chosen within individual management systems given a predetermined budget allocation that is not typically aligned with the performance goals of the transportation agency. Instead, the allocation of resources across asset classes (e.g., bridges vs. pavements) is often determined based on historical proportions or by legislated formula and is subject to changes due to political pressures. Consequently, agencies are at risk for pursuing and implementing less than optimal programs that waste valuable resources and are less defensible to the public and stakeholders. Recent studies in tradeoff analysis have attempted to quantify the sensitivity of such allocation decisions, but no methodology has been developed to-date that identifies which cross-asset allocation optimizes system-wide performance. To demonstrate the advantages of a performance-based, cross-asset resource allocation approach, this paper provides a MAP-21 compliant baseline framework (developed for current National Cooperative Highway Research Program (NCHRP) project 08-91) and a case study of varying programming policies. Through a comprehensive decision science approach, it is shown that the ideal resource allocation and obtainable performance targets can be arrived at by optimizing system performance via a combination of agency preferences with quantitatively scored projects pooled across asset classes.
Supplemental Notes: This paper was sponsored by TRB committee ABC40 Transportation Asset Management.
Monograph Title: Monograph Accession #: 01503729
Report/Paper Numbers: 14-4642
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Ford, Kevin MBai, QiangReaves, Alyson WMaggiore, Michelle LPagination: 17p
Publication Date: 2014
Conference:
Transportation Research Board 93rd Annual Meeting
Location:
Washington DC Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Identifier Terms: Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2014 Paper #14-4642
Files: TRIS, TRB, ATRI
Created Date: Jan 27 2014 3:37PM
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