Long-term trend of electric vehicle sales in Thailand

Q2 Engineering
T. Chinda
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引用次数: 2

Abstract

Abstract This research study aims at examining the long-term trend of EV sales in Thailand, utilising the system dynamics (SD) modelling approach. This approach is commonly used to model complex systems with causal relationships among key factors within the system. The developed SD model consists of five key factors affecting electric vehicle (EV) sales, namely, the environment, economy, charging infrastructure, government support, and battery maintenance. The simulation results show the increase in EV sales by ten times in the next 20 years with implementation plans related to the five key factors. The government support factor is the most important in enhancing EV sales in the short term. Several government support plans should be initiated to attract more EV consumers, such as subsidies and tax reductions. The environment and charging infrastructure factors are crucial to increasing EV sales in the long term. The enforcement of the CO2 tax and the provision of charging stations all around the country should be established to achieve a sustainable EV market in the long term. This research study contributes to the Thai government and automotive industry to better understand the complex relationships among key factors affecting EV sales. The related sectors may use the study results to plan for EV campaigns to promote the use of EVs and achieve a sustainable EV market.
泰国电动车销售的长期趋势
摘要本研究旨在研究泰国电动汽车销售的长期趋势,利用系统动力学(SD)建模方法。这种方法通常用于对具有系统内关键因素之间因果关系的复杂系统进行建模。开发的SD模型包括影响电动汽车(EV)销售的五个关键因素,即环境、经济、充电基础设施、政府支持和电池维护。仿真结果表明,未来20年电动汽车销量将增长10倍,并有与这5个关键因素相关的实施方案。短期内提高电动汽车销量的最重要因素是政府的支持。为了吸引更多的电动汽车消费者,应该启动一些政府支持计划,比如补贴和减税。从长远来看,环境和充电基础设施因素对提高电动汽车销量至关重要。从长远来看,应该在全国范围内实施二氧化碳税和提供充电站,以实现可持续的电动汽车市场。本研究有助于泰国政府和汽车行业更好地了解影响电动汽车销售的关键因素之间的复杂关系。相关界别可根据研究结果,策划电动汽车推广活动,以促进电动汽车的使用,并达致电动汽车市场的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Engineering Management in Production and Services
Engineering Management in Production and Services Business, Management and Accounting-Management Information Systems
CiteScore
3.40
自引率
0.00%
发文量
27
审稿时长
7 weeks
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