ArticleNature communications2026
EV-ready building codes and electric vehicle adoption.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
EV-integrated building codes are an innovative tool that local governments can use to promote electric vehicle (EV) adoption. Despite their growing use, evidence on their effectiveness remains limited. In this study, we analyze EV registration data from Maryland from 1999 to 2024 to evaluate the impact of local EV-ready building codes on EV adoption. Using a synthetic difference-in-differences design, we find that EV-ready policies increase EV adoption by 0.25 vehicles per census block on average, primarily driven by battery electric vehicles. Our analysis of distributional effects shows that the benefits are concentrated in higher-income communities and areas with a greater share of single-family homes. These findings suggest that while EV-ready building codes effectively support EV adoption, complementary measures are needed to promote more inclusive adoption.
Identifiers
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Registered trials
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.