Multi-dimensional analysis of the impact of new energy vehicles on the urban ecological environment and prediction of future trends

Xuanran Tang, Tianbing Yang, Chen Zhang, Zhenglin Xiong, Ruiqi Zhu
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Abstract

This study examines the development indicators of China's new energy vehicle industry using clustering and multiple regression methods. The indicators are divided into internal and external aspects: external factors, such as the degree of completeness of charging facilities, market demand, policies and regulations, and internal factors, mainly brand types and power costs. By comparing the forecasting models of its industry data, including the exponential smoothing model, grey forecasting model and Brownian forecasting model. The forecast results show that this industry in China maintains a positive development trend in the next ten years. It shows that the development prospect of electric vehicles is very bright.The population competition model is used to model the competitive situation between new energy and traditional energy vehicles, and it is concluded that new energy vehicles are replacing traditional fuel vehicles and promoting the transformation of the automotive industry to be environmentally friendly and efficient.Collect the key measures and points in time that countries have taken to target the development of this industry in China. Analysing the data on the development of the industry before and after these events, it is found that external factors, such as other countries' policies, may inhibit the industry's growth. If other countries take action to thwart this industry in China, it may temporarily break its growth or even lead to a short-term industry recession.
新能源汽车对城市生态环境影响的多维分析及未来趋势预测
本研究采用聚类和多元回归方法研究了中国新能源汽车产业的发展指标。指标分为内外两个方面:外部因素,如充电设施完备程度、市场需求、政策法规等;内部因素,主要是品牌类型和动力成本。通过比较其行业数据的预测模型,包括指数平滑模型、灰色预测模型和布朗预测模型。预测结果表明,中国该行业在未来十年将保持良好的发展态势。利用人口竞争模型对新能源汽车与传统能源汽车的竞争态势进行建模,得出新能源汽车正在替代传统燃油汽车,推动汽车产业向环保高效转型的结论。收集各国针对中国该产业发展采取的关键措施和时间点。分析这些事件前后的产业发展数据,发现其他国家的政策等外部因素可能会抑制产业的发展。如果其他国家采取行动阻碍该行业在中国的发展,可能会暂时中断其增长,甚至导致短期的行业衰退。
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