Journal article
Decision Methodology for Allocating Funds across Transportation Infrastructure Assets
Journal of infrastructure systems, v 12(1)
01 Mar 2006
Abstract
One of the main activities in transportation infrastructure asset management is the allocation of available funds across infrastructure classes (e.g., pavements, bridges, signs) or programs (e.g., maintenance, construction). A methodology for allocating funds across transportation asset classes using multiattribute utility theory has been developed and is provided in this paper. This methodology can be used for performing trade-off analysis among asset classes where it is practical to consider potential shifts in funding from one class to another. The methodology was applied to a sample state highway network in Champaign County, Illinois. The sample highway network consists of pavements, bridges, culverts, signs, and intersections. Four funding allocation alternatives were evaluated using the developed methodology. The case study identified the funding allocation alternative that results in the lowest risk of infrastructure failure or poor performance (i.e., highest utility) from an experienced engineer standpoint. The utility analysis revealed that the decision maker in the case study is risk averse when managing infrastructure classes with the most potential to affect traffic safety and to be noticed by the public, such as bridges and intersections. The case study also revealed that the level of available funding and the level of infrastructure performance affect how the total funding is allocated among asset classes.
Metrics
Details
- Title
- Decision Methodology for Allocating Funds across Transportation Infrastructure Assets
- Creators
- Nasir G. Gharaibeh - Drexel UniversityYi-Chang Chiu - Drexel UniversityPatrick L. Gurian - Drexel University
- Publication Details
- Journal of infrastructure systems, v 12(1)
- Publisher
- Asce-Amer Soc Civil Engineers
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000208505600001
- Scopus ID
- 2-s2.0-33244478767
- Other Identifier
- 991019167859504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Civil