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contributor authorNasir G. Gharaibeh
contributor authorYi-Chang Chiu
contributor authorPatrick L. Gurian
date accessioned2017-05-08T21:21:25Z
date available2017-05-08T21:21:25Z
date copyrightMarch 2006
date issued2006
identifier other%28asce%291076-0342%282006%2912%3A1%281%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/48248
description abstractOne 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.
publisherAmerican Society of Civil Engineers
titleDecision Methodology for Allocating Funds across Transportation Infrastructure Assets
typeJournal Paper
journal volume12
journal issue1
journal titleJournal of Infrastructure Systems
identifier doi10.1061/(ASCE)1076-0342(2006)12:1(1)
treeJournal of Infrastructure Systems:;2006:;Volume ( 012 ):;issue: 001
contenttypeFulltext


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