Electrifying long-haul freight trucks reduces societal costs in the United States.

Jason Porzio, Wilson McNeil, Fan Tong, Scott Moura, Maximilian Auffhammer, Corinne D Scown

Abstract read

In one paragraph

Article in Nature communications, 2025. 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

6 authors.

Jason PorzioEnergy and Biosciences Institute, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0009-0007-5650-1567

Wilson McNeilEnergy and Biosciences Institute, University of California, Berkeley, Berkeley, CA, USA.

Fan TongSchool of Economics and Management, Beihang University, Beijing, People's Republic of China.ORCID http://orcid.org/0000-0003-4661-3956

Scott MouraCivil and Environmental Engineering Department, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-6393-4375

Maximilian AuffhammerDepartment of Agricultural and Resource Economics, University of California, Berkeley, Berkeley, CA, USA. aufhammer@berkeley.edu.ORCID http://orcid.org/0000-0002-1941-6132

Corinne D ScownEnergy and Biosciences Institute, University of California, Berkeley, Berkeley, CA, USA. cscown@berkeley.edu.ORCID http://orcid.org/0000-0003-2078-1126

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrifying long-haul heavy-duty vehicles (HDVs) entails high private costs but offers substantial reductions in external costs by substituting diesel combustion with electricity generation. We combine technoeconomic analysis and life-cycle assessment of lithium-ion battery electric (BE) and diesel HDVs to estimate total private costs and monetized climate and health damages in the United States. In 2025, BE-HDVs are estimated to have 46% higher private costs ($0.71 mile⁻¹) than diesel trucks, decreasing to 33% ($0.52 mile⁻¹) by 2035. However, their external costs are 64-69% lower in 2025 and 70-80% lower in 2035. Overall, BE-HDVs yield positive net societal benefits by 2035, contingent on policies that accelerate their adoption.

Identifiers

PMID41387452

DOI10.1038/s41467-025-67161-1

PMCPMC12800144

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

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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.