Dataset on Electric Road Mobility: Historical and Evolution Scenarios until 2050.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2024-09-19 DOI:10.1038/s41597-024-03801-3

Irvylle Cavalcante, Alberto Rodrigues da Silva, Matej Zajc, Igor Mendek, Lisa Calearo, Anna Malkova, Charalampos Ziras, Panagiotis Pediaditis, Konstantinos Michos, João Mateus, Samuel Matias, Miguel Brito, Alexis Lekidis, Cindy P Guzman, Ana Rita Nunes, Hugo Morais

{"title":"Dataset on Electric Road Mobility: Historical and Evolution Scenarios until 2050.","authors":"Irvylle Cavalcante, Alberto Rodrigues da Silva, Matej Zajc, Igor Mendek, Lisa Calearo, Anna Malkova, Charalampos Ziras, Panagiotis Pediaditis, Konstantinos Michos, João Mateus, Samuel Matias, Miguel Brito, Alexis Lekidis, Cindy P Guzman, Ana Rita Nunes, Hugo Morais","doi":"10.1038/s41597-024-03801-3","DOIUrl":null,"url":null,"abstract":"<p><p>An increasing adoption of electric vehicles (EVs) is expected in the coming decades mainly due to the need to achieve carbon neutrality until 2050. However, predicting electric mobility's future is challenging due to three main factors: technological advancements, regulatory policies, and consumer behaviour. The projections presented in this study are based on several scenarios driven mainly from reports published by public entities and consultants. It considers the evolution of electric road mobility by defined targets in the electrification of the transport sector. Therefore, the gathered data addresses different horizon times regarding EV penetration in the World, Europe, Portugal, Denmark, Greece, and Slovenia. Thus, an extensive literature review and estimating approach for EV forecast was conducted concerning EV markets, charging infrastructure, and electricity demand. Also, the dataset aims to provide a demand projection by 2050 and serving as a critical input to further work on EV mass deployment in the context of the project Electric Vehicles Management for carbon neutrality in Europe (EV4EU) and other works related to this field.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":null,"pages":null},"PeriodicalIF":5.8000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11413019/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-024-03801-3","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

An increasing adoption of electric vehicles (EVs) is expected in the coming decades mainly due to the need to achieve carbon neutrality until 2050. However, predicting electric mobility's future is challenging due to three main factors: technological advancements, regulatory policies, and consumer behaviour. The projections presented in this study are based on several scenarios driven mainly from reports published by public entities and consultants. It considers the evolution of electric road mobility by defined targets in the electrification of the transport sector. Therefore, the gathered data addresses different horizon times regarding EV penetration in the World, Europe, Portugal, Denmark, Greece, and Slovenia. Thus, an extensive literature review and estimating approach for EV forecast was conducted concerning EV markets, charging infrastructure, and electricity demand. Also, the dataset aims to provide a demand projection by 2050 and serving as a critical input to further work on EV mass deployment in the context of the project Electric Vehicles Management for carbon neutrality in Europe (EV4EU) and other works related to this field.

查看原文本刊更多论文

电动道路交通数据集：2050 年前的历史和演变方案。

预计未来几十年，电动汽车（EV）的采用率将越来越高，这主要是由于需要在 2050 年前实现碳中和。然而，由于技术进步、监管政策和消费者行为这三个主要因素，预测电动汽车的未来具有挑战性。本研究中的预测主要基于公共实体和咨询公司发布的报告中的几种情景。它根据交通领域电气化的既定目标，考虑了电动道路交通的发展。因此，所收集的数据涉及世界、欧洲、葡萄牙、丹麦、希腊和斯洛文尼亚电动汽车渗透率的不同远景时间。因此，我们对电动汽车市场、充电基础设施和电力需求进行了广泛的文献综述和估算。此外，该数据集旨在提供到 2050 年的需求预测，并作为欧洲碳中和电动汽车管理项目（EV4EU）和该领域其他相关工作中电动汽车大规模部署的重要输入。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.