扩大弱势社区的电动汽车使用范围

Brett D. H. Williams, John B. Anderson
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引用次数: 0

摘要

要实现宏伟的电动汽车 (EV) 和公平目标,销售必须超越普通人群,向重点人群延伸。更好地了解重点人群对电动汽车的采用情况,可以为扩大电动汽车的策略提供参考。我们研究了纽约州(NYS)州指定的弱势社区(DACs)中轻型电动汽车的采用情况。我们分析了 5,097 份调查回复,这些回复来自 21,843 名获得 2017-2019 年电动汽车购买/租赁返利的消费者。我们使用描述性统计、逻辑回归和优势分析来识别与 DAC 采用者相关的因素并进行排序。从描述性角度来看,人口统计学和相关研究结果与基于以往研究的预期基本一致。本研究还将 DAC 采用者与纽约州市场基线统计数据进行了比较。研究发现,与非 DAC 采用者相比,他们与主流新车购买者的相似度更高,事实上,他们已经在多个方面 "超越 "了主流。在逻辑回归中,除了几项预期结果(如更频繁的租房和公寓居住)外,DAC 采用者的区别因素还包括:获得返利的电动汽车是家庭新增(而非更换)、非特斯拉电池电动汽车和/或购买(而非租赁);充电和/或环境影响的重要性;和/或能源独立性的不重要性。令人惊讶的是,与 DAC 居住地无关的因素包括:种族/民族;各种激励措施的重要性;和/或消费者和经销商对返利的认识。事实上,与之前对加利福尼亚州的分析相反,在控制收入等其他因素的情况下,没有发现任何有利因素或意识因素有助于区分 DAC 采用者和非 DAC 采用者,包括财务因素。本文对研究结果进行了讨论,并与之前的研究进行了比较,同时提出了一些意见,为项目设计和推广提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expanding Electric Vehicle Adoption in Disadvantaged Communities
To achieve ambitious electric vehicle (EV) and equity goals, sales must reach beyond general populations and into priority groups. Better understanding of EV adoption by priority populations can inform strategies to expand it. We examine light-duty EV adoption in state-designated disadvantaged communities (DACs) in New York State (NYS). We analyze 5,097 survey responses from 21,843 consumers rebated for 2017–2019 EV purchases/leases. We use descriptive statistics, logistic regressions, and dominance analysis to identify and rank order factors associated with DAC adopters. Descriptively, demographic and related findings were largely consistent with expectations based on previous studies. In this study, DAC adopters were also compared with NYS market baseline statistics. They were found to resemble mainstream new vehicle buyers more closely than non-DAC adopters and, indeed, they already represent progress “beyond” the mainstream in several respects. For the logistic regressions, in addition to several expected findings (e.g., more frequent renting and apartment dwelling), factors that distinguished DAC adopters included the following: rebated EVs were household additions (as opposed to replacements), non-Tesla battery EVs, and/or purchased (as opposed to leased); the importance of charging and/or environmental impacts; and/or the unimportance of energy independence. Factors surprisingly not associated with DAC residence included the following: race/ethnicity; importance of various incentives; and/or awareness of rebates from consumers and dealers. Indeed, in contrast to a previous analysis for California, no enabling or awareness factors were found to help distinguish DAC adopters from non-DAC adopters, including financial considerations, when controlling for other factors such as income. Findings are discussed and compared with previous research, and observations are provided to inform program design and outreach.
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