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contributor authorXavier Espinet
contributor authorAmy Schweikert
contributor authorPaul Chinowsky
date accessioned2017-12-30T12:55:59Z
date available2017-12-30T12:55:59Z
date issued2017
identifier otherAJRUA6.0000852.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4243557
description abstractTo create and sustain resilient infrastructure systems, decision makers must consider a changing climate in their design and maintenance planning. However, significant barriers exist to constrain the understanding and implementation of climate change considerations, including the inherent uncertainty in climate change model projections. The high level of uncertainty related to climate projections makes the engineering planning process difficult because it is impossible to fully know future climate conditions relative to historical design standards. This paper seeks to address this challenge by introducing a new method for calculating robust decisions rooted in existing decision theory and uncertainty. This paper details the framework used for the new decision-making process and describes how the framework can provide guidance about achieving low-regret adaptation options for resilient road infrastructure design. A case study of a province in Mexico illustrates the application of the framework to an actual transportation planning effort.
publisherAmerican Society of Civil Engineers
titleRobust Prioritization Framework for Transport Infrastructure Adaptation Investments under Uncertainty of Climate Change
typeJournal Paper
journal volume3
journal issue1
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.0000852
pageE4015001
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 001
contenttypeFulltext


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