ArticleRisk analysis : an official publication of the Society for Risk Analysis2025
Development of an Equity Metric for Infrastructure Service Performance Assessment.
Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Development of an Equity Metric for Infrastructure Service Performance Assessment.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infrastructure service outages are often disproportionately clustered among vulnerable population groups (e.g., low income) who are also often more adversely impacted by these outages due to limited resources. These inequities need to be reduced for community resilience's improvement. Equity is increasingly considered an integral part of risk-based decision-making. There is no consensus on equity's definition within the infrastructure context, but equity is best characterized by five dimensions: recognitional, distributional, restorative, procedural, and transgenerational. Few metrics currently accommodate equity robustly, particularly the restorative dimension. Theil's T-derived infrastructure metrics are presented to assess infrastructure service performance inequities for both the restorative and distributional equity paradigms, which can ultimately support infrastructure intervention decisions (e.g., retrofit, system operation) to robustly consider equity. The restorative paradigm necessitates the assessment of differences between distinct groups, whereas the distributional paradigm necessitates an equality assessment across the entire population. The metrics are derived for two infrastructure service performance quality measures represented through robustness and vulnerability. The proposed metrics are implemented in a limited hypothetical electric distribution network to evaluate the metrics' capability to detect degrees of inequity introduced into the system through varying nodal vulnerability scenarios. The results confirm the metrics' ability to benchmark inequity and represent an approach for equity's quantification alongside other factors in risk-based decision-making, which will be integral to supporting equity in future infrastructure decisions.
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Registered trials
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