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dc.contributor.authorXavier Espinet
dc.contributor.authorAmy Schweikert
dc.contributor.authorPaul Chinowsky
dc.date.accessioned2017-12-30T12:55:59Z
dc.date.available2017-12-30T12:55:59Z
dc.date.issued2017
dc.identifier.otherAJRUA6.0000852.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4243557
dc.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.
dc.publisherAmerican Society of Civil Engineers
dc.titleRobust Prioritization Framework for Transport Infrastructure Adaptation Investments under Uncertainty of Climate Change
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue1
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.0000852
dc.pageE4015001
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 001
dc.contenttypeFulltext


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