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Title	Implementation Of Time Series To Determine Purchase And Use Of Electric Cars In A Smart City Considering Generation Z As Target Population
ID_Doc	30607
Authors	Ghasemlou S.M.; Ochoa-Zezzatti A.; Torres V.; Martinez E.; Lopez V.
Year	2024
Published	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14502 LNAI
DOI	http://dx.doi.org/10.1007/978-3-031-51940-6_22
Abstract	One of the biggest issues facing the globe today is greenhouse gas (GHG) emissions. In the transportation industry, the development of electric vehicles has recently been the main focus of research globally to satisfy the permissible GHG limitations where vehicles that operate on oil contribute a significant amount of GHG. In recent years, there has been a great increase in the study of electric vehicles (EVs). This integrative evaluation is an attempt to close the gap in assessments that evaluate and show the demand and development of EVs in great detail. This study provides numerous thought-provoking insights on specific events, such as the rise in popularity and desire for electric vehicles on a worldwide scale, the demand for power, and the role of government in the development of smart cities. This study gained a new perspective with the addition of the concept of a smart city created by EV implementation. The overview would be helpful for policymakers as well as academics. The findings of this study provide a summary of the arguments made by investors, regulators, and members of Generation Z in favor of electric vehicles. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	electric vehicle; Generation Z; Smart City; Time Series Models

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