Evidence map›Paper›PMID 42156744›Full record

ArticleNature communications2026

Climate change exacerbates disparities of energy resilience in New York City.

Luo Xu, Ning Lin, A T D Perera, Aaron C Spaulding, Zhecheng Wang, Michael Oppenheimer, Christine Y Blackshaw, H Vincent Poor

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Luo XuDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA. luoxu@princeton.edu.ORCID http://orcid.org/0000-0002-9978-4663
Ning LinDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-5571-1606
A T D PereraAndlinger Center for Energy and the Environment, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-0461-8874
Aaron C SpauldingDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
Zhecheng WangStanford Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2441-3267
Michael OppenheimerSchool of Public and International Affairs, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-9708-5914
Christine Y BlackshawDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA.
H Vincent PoorDepartment of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-2062-131X

Funding

National Science Foundation (NSF) 2103754
6 · The paper itself

Abstract

Climate extremes increasingly threaten energy infrastructure, yet whether disparities in energy resilience persist within cities under comparable hazard exposure and how distributed energy resources may reshape them remain largely unquantified. By integrating climate and energy projections, socio-demographic data, and an optimization-based power outage metric that captures initial outages, recovery, and distributed energy resource support, this study reveals evident energy resilience disparities shaped by intersectionality across income, race, and ethnicity in New York City. These disparities are projected to be exacerbated under future climates. Middle-income households exhibit the lowest levels of energy resilience, with their outage risk increasing by 1.5-2 times compared to the wealthiest households under severe events. Low- and middle-income Asian and high-income Black households experience up to twice the average outage risk increase compared to others within the same income groups. While distributed energy resources can partially mitigate disparities, their impact remains limited under business-as-usual growth. Our findings identify climate-vulnerable communities and inform efforts to promote energy justice in a changing climate.

Indexed as

Climate ChangeConservation of Energy ResourcesEthnicityHumansIncomeNew York CityRacial GroupsSocioeconomic Factors

Identifiers

PMID42156744
PMCPMC13381738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.