Future cities demand smart and equitable infrastructure resilience modeling perspectives

Abstract Risk-informed decisions that promote infrastructure resilience (or the ability to withstand, recover from, and adapt to stressors like natural hazards) require confident predictions of system performance now and into the future. We propose a perspective shift–one capable of handling uncertain and dynamic conditions, leveraging emerging observations from smart systems, and guided by demands for social equity. This shift requires collective efforts, but our future cities demand and deserve it.

Authors

Institutions

Publication Details

Journal
npj natural hazards.
Published
2024-11-06
DOI
https://doi.org/10.1038/s44304-024-00028-5
Citations
7
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.83

Funders

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article

Future cities demand smart and equitable infrastructure resilience modeling perspectives

Pranavesh Panakkal, Jamie Ellen Padgett, Raul Rincón
7 citations
npj natural hazards.
Infrastructure Resilience and Vulnerability Analysis
1.83
article

Future cities demand smart and equitable infrastructure resilience modeling perspectives

Pranavesh Panakkal, Jamie Ellen Padgett, Raul Rincón
article en
7 citations

Abstract

Abstract Risk-informed decisions that promote infrastructure resilience (or the ability to withstand, recover from, and adapt to stressors like natural hazards) require confident predictions of system performance now and into the future. We propose a perspective shift–one capable of handling uncertain and dynamic conditions, leveraging emerging observations from smart systems, and guided by demands for social equity. This shift requires collective efforts, but our future cities demand and deserve it.

npj natural hazards.Vol. 1(1)
Rice University (US)
National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Infrastructure Resilience and Vulnerability Analysis
1.83
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