Leveraging SETS resilience capabilities for safe-to-fail infrastructure under climate change

Yeowon Kim, Thomaz Carvalhaes, Alysha Helmrich, Samuel Markolf, Ryan Hoff, Mikhail Chester, Rui Li, Nasir Ahmad

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

Abstract

As the rehabilitation of infrastructure is outpaced by changes in the profile, frequency, and intensity of extreme weather events, infrastructure's service disruptions and failures become increasingly likely. Safe-to-fail approaches for infrastructure planning and design improve the capacity of cities to adapt for uncertain climate futures by identifying social, ecological, and technological systems (SETS) capabilities to prepare for potential failure scenarios. In this paper, we argue for transforming infrastructure planning and design to effectively utilize safe-to-fail approaches by navigating the opportunities and trade-offs of SETS resilience capabilities. From a technological vantage point, traditional infrastructure planning approaches account for social and ecological domains as external design conditions rather than embedded system characteristics. Safe-to-fail approaches directly challenge the isolation of the technological domain by necessitating a recognition that SETS domains are interconnected and interdependent in infrastructure systems, as such risks and system capabilities for resilience must be managed cohesively.

Original languageEnglish
Article number101153
JournalCurrent Opinion in Environmental Sustainability
Volume54
DOIs
StatePublished - Feb 2022

Funding

The authors would like to acknowledge the Resilient Infrastructure Brown Bag meetings, which motivated the development of this manuscript. We also thank two anonymous reviewers and the editors of this special issue for their insightful comments. This work was supported by the National Science Foundation [ GCR-1934933 ]; National Science Foundation [ SRN-1444755 ]; National Science Foundation [ AccelNet-1927468 & AccelNet-1927167 ]. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

FundersFunder number
National Science FoundationAccelNet-1927167, GCR-1934933, AccelNet-1927468, SRN-1444755

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