消费者对电动摩托车和传统摩托车的选择决定

P. F. Belgiawan, Nadine Maura Ikhsani, S. Arsallia
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引用次数: 0

摘要

摘要空气污染是印尼最紧迫的新问题之一。为了减少排放,人们需要从传统摩托车转向电动摩托车(EM)。然而,印尼传统摩托车(CM)的数量仍然远远高于电动摩托车,市场是否会采用它也不确定。因此,本研究旨在找出影响消费者选择电动或传统摩托车决策的重要因素,并确定偏好的摩托车类型,并计算每个因素的弹性。选择建模分析用于估计选择摩托车的概率和影响决策的属性。数据是通过向470名受访者发送的在线调查收集的。本研究使用因子分析、多项逻辑回归和需求弹性分析三种方法来处理数据。根据本研究的结果,发现购买价格、充电次数、续驶里程和对每种摩托车类型的态度是影响车主购买摩托车的显著因素。此外,我们发现大多数受访者更喜欢电动摩托车而不是传统摩托车。结果表明,摩托车制造商应考虑降低电动汽车的销售价格,发展快速充电技术,提高续驶里程,而政府应对电动汽车用户提供激励措施。因此,本研究支持通过增加EM的使用来减少印度尼西亚空气污染的研究结果。关键词:电动汽车,摩托车,选择模型,显著因素,声明偏好
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumers Choice Decision Towards Electric and Conventional Motorcycles
Abstract. Air pollution is one of the most pressing emerging issues in Indonesia. To reduce emissions, people need to shift from conventional to electric motorcycles (EM). However, the number of conventional motorcycles (CM) in Indonesia is still far above electric, and there is no certainty whether the market will adopt it. Therefore, this research aims to identify significant factors that influence consumers’ decision in choosing electric or conventional motorcycles and to identify preferred motorcycle type, as well as to calculate the elasticity of each factor. Choice modeling analysis is used to estimate the probability of choosing motorcycles and the attributes that influence the decision. Data is collected through an online survey sent to 470 respondents. This research used three methods in processing the data: factor analysis, multinomial logistic regression, and demand elasticities analysis. Based on the result of this research, it is found that the significant factors are purchase price, charging times, driving range, and attitude towards each motorcycle type. Additionally, it is found that most of the respondents prefer electric motorcycles to conventional ones. The results suggested that motorcycles manufacturers should consider selling EM with lower prices, develop fast charging technology, and improve driving range, while the government should provide incentives for EM users. Therefore, this research supports findings to decrease air pollution in Indonesia by increasing the use of EM. Keywords: Electric vehicles, motorcycles, choice modeling, significant factors, stated preference
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