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. 2024 Jul 18;15:6041. doi: 10.1038/s41467-024-50447-1

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — a shows the total number of power outages during the study period per district of a city. A darker red color indicates a higher frequency of outage times. b shows the total number of hours with power outages at the district level in a city. A darker shade of orange indicates a longer cumulative duration of power outages in the city. c shows the total battery electric vehicles (BEVs) sales at the city level. The gray shades denote cities with available sales data, while larger blue circles indicate higher BEV sales in the city during the sample period. d shows the total sales of new energy vehicles (NEVs) from November 2019 –September 2021. Here, the total sales of NEVs are equal to the combined sales of both BEVs and plug-in hybrid electric vehicles (PHEVs). Larger green circles indicate higher NEV sales in the city. The blank areas represent cities with no data available. Source data for this figure are available on GitHub.