大型車の電動化は環境不平等を減らす可能性がある(Electrifying heavy-duty vehicles could reduce environmental inequalities)

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2023-09-05 ノースウェスタン大学

◆シカゴ周辺の地域が現在の車両の30%を電気自動車に切り替えると、汚染が大幅に減少し、年間数百人の命が救われる可能性があると、ノースウェスタン大学を中心とする新たな研究が示しています。
◆この研究によれば、黒人、ヒスパニック、ラテン系住民の住む地域が最も恩恵を受け、歴史的にマージナライズされた地域における汚染と健康への負担を軽減する可能性があります。

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大型車の電動化が大気質、健康、公平性に及ぼす影響 Air quality, health and equity implications of electrifying heavy-duty vehicles

Sara F. Camilleri,Anastasia Montgomery,Maxime A. Visa,Jordan L. Schnell,Zachariah E. Adelman,Mark Janssen,Emily A. Grubert,Susan C. Anenberg & Daniel E. Horton
Nature Sustainability  Published:05 September 2023
DOI:https://doi.org/10.1038/s41893-023-01219-0

figure 1

Abstract

Heavy-duty vehicles (HDVs) disproportionately contribute to the creation of air pollutants and emission of greenhouse gases—with marginalized populations unequally burdened by the impacts of each. Shifting to non-emitting technologies, such as electric HDVs (eHDVs), is underway; however, the associated air quality and health implications have not been resolved at equity-relevant scales. Here we use a neighbourhood-scale (~1 km) air quality model to evaluate air pollution, public health and equity implications of a 30% transition of predominantly diesel HDVs to eHDVs over the region surrounding North America’s largest freight hub, Chicago, IL. We find decreases in nitrogen dioxide (NO2) and fine particulate matter (PM2.5) concentrations but ozone (O3) increases, particularly in urban settings. Over our simulation domain NO2 and PM2.5 reductions translate to ~590 (95% confidence interval (CI) 150–900) and ~70 (95% CI 20–110) avoided premature deaths per year, respectively, while O3 increases add ~50 (95% CI 30–110) deaths per year. The largest pollutant and health benefits simulated are within communities with higher proportions of Black and Hispanic/Latino residents, highlighting the potential for eHDVs to reduce disproportionate and unjust air pollution and associated air-pollution attributable health burdens within historically marginalized populations.

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