Electric Vehicle Usage and Charging Analysis Dataset Across Seven Major Cities in China

Background  This dataset provides supporting data for the figures presented in our study on electric vehicle (EV) usage and charging behavior across major Chinese cities. The detailed analysis and raw data are thoroughly described in Zhan et al (2025). The study examines 1.69 million EVs, representi...

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Hauptverfasser: Zhan, Weipeng, Liao, Yuan, Deng, Junjun, Wang, Zhenpo, Yeh, Sonia
Format: Dataset
Sprache:eng
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Zusammenfassung:Background  This dataset provides supporting data for the figures presented in our study on electric vehicle (EV) usage and charging behavior across major Chinese cities. The detailed analysis and raw data are thoroughly described in Zhan et al (2025). The study examines 1.69 million EVs, representing 42% of China's total EV fleet, from November 2020 to October 2021. The study provides insights into operational demands, infrastructure requirements, and energy consumption patterns by analyzing diverse vehicle types—including private cars, taxis, buses, and special purpose vehicles (SPVs).    The purpose of this dataset is to enable researchers who do not have access to the same raw data to replicate, calibrate, or extend our findings using the processed data that underpins each figure. This resource is valuable for further research on EV infrastructure planning, energy consumption, and vehicle performance. This dataset is made available to help the research community leverage our findings and facilitate advancements in electric vehicle research and infrastructure planning. Please refer to Zhan et al (2025) for full details on the methodology and analysis.    Data description  This dataset includes the processed data underlying each figure in Zhan et al (2025), covering various aspects of EV usage, battery capacity, and charging behavior across seven major Chinese cities: Beijing, Shanghai, Guangzhou, Shenzhen, Nanjing, Chengdu, and Chongqing. The dataset is organized to correspond directly with the figures in the paper, facilitating its use for further analysis and model calibration. Each dataset is aligned with specific figures, providing essential data to help researchers without access to the original raw data.    1. EV Type and Battery Energy Distribution Across Cities Fig1a.Distribution of EV types across selected Chinese cities  File: Fig1a.Distribution of EV types across selected Chinese cities.csv  Description: Distribution of EV types across seven cities, detailing the share of different vehicle types.    Column  Description  Data type  Unit  Beijing  Distribution of EV types in Beijing  Float  %  Shenzhen  Distribution of EV types in Shenzhen  Float  %  Shanghai  Distribution of EV types in Shanghai  Float  %  Guangzhou  Distribution of EV types in Guangzhou  Float  %  Chengdu  Distribution of EV types in Chengdu  Float  %  Chongqing  Distribution of EV types in Chongqing  Float  %  Nanjing  Distribution of EV types in Nanjing  Float  %    Fig1b.D
DOI:10.5281/zenodo.13852044