Journal
CLIMATIC CHANGE
Volume 145, Issue 3-4, Pages 397-412Publisher
SPRINGER
DOI: 10.1007/s10584-017-2090-1
Keywords
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Funding
- National Science Foundation from IMEE program [1335556, 1335640, 1635490]
- National Science Foundation from SRN program [1444755]
- National Science Foundation from TUES program [1245205]
- National Science Foundation from WSC program [1360509]
- National Science Foundation from RIPS program [1441352]
- CHI University Grant Program (software package PCSWMM)
- Directorate For Engineering [1335640] Funding Source: National Science Foundation
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1635490] Funding Source: National Science Foundation
- Directorate For Engineering
- Emerging Frontiers & Multidisciplinary Activities [1441352] Funding Source: National Science Foundation
- Directorate For Geosciences
- Division Of Earth Sciences [1360509] Funding Source: National Science Foundation
- Division Of Behavioral and Cognitive Sci
- Direct For Social, Behav & Economic Scie [1444755] Funding Source: National Science Foundation
- Division Of Undergraduate Education
- Direct For Education and Human Resources [1245205] Funding Source: National Science Foundation
- Div Of Civil, Mechanical, & Manufact Inn [1335640] Funding Source: National Science Foundation
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1335556] Funding Source: National Science Foundation
Ask authors/readers for more resources
As climate change affects precipitation patterns, urban infrastructure may become more vulnerable to flooding. Flooding mitigation strategies must be developed such that the failure of infrastructure does not compromise people, activities, or other infrastructure. Safe-to-fail is an emerging paradigm that broadly describes adaptation scenarios that allow infrastructure to fail but control or minimize the consequences of the failure. Traditionally, infrastructure is designed as fail-safe where they provide robust protection when the risks are accurately predicted within a designed safety factor. However, the risks and uncertainties faced by urban infrastructure are becoming so great due to climate change that the fail-safe paradigm should be questioned. We propose a framework to assess potential flooding solutions based on multiple infrastructure resilience characteristics using a multi-criteria decision analysis (MCDA) analytic hierarchy process algorithm to prioritize safe-to-fail and fail-safe strategies depending on stakeholder preferences. Using urban flooding in Phoenix, Arizona, as a case study, we first estimate flooding intensity and evaluate roadway vulnerability using the Storm Water Management Model for a series of downpours that occurred on September 8, 2014. Results show the roadway types and locations that are vulnerable. Next, we identify a suite of adaptation strategies and characteristics of these strategies and attempt to more explicitly categorize flooding solutions as safe-to-fail and fail-safe with these characteristics. Lastly, we use MCDA to show how adaptation strategy rankings change when stakeholders have different preferences for particular adaptation characteristics.
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