谁更有可能购买电动汽车?美国中西部地区的描述性综合选择模型分析

IF 6.3 2区 工程技术 Q1 ECONOMICS
Transport Policy Pub Date : 2026-01-01 Epub Date: 2025-11-01 DOI:10.1016/j.tranpol.2025.103877
Omid Armantalab , Hania Afzal , Jason Hawkins
{"title":"谁更有可能购买电动汽车?美国中西部地区的描述性综合选择模型分析","authors":"Omid Armantalab ,&nbsp;Hania Afzal ,&nbsp;Jason Hawkins","doi":"10.1016/j.tranpol.2025.103877","DOIUrl":null,"url":null,"abstract":"<div><div>This study uses a combined revealed and stated preference approach to analyze vehicle ownership in the US Midwest. We apply integrated choice and latent variable (ICLV) models to survey data that includes current vehicle details, future vehicle preferences, and responses to stated choice tasks. By comparing these approaches, we explore how choice varies between free selection and structured stated choice tasks, and assess the impact of latent attitudinal factors on individual choice variation. Our findings reveal that increasing awareness of electric vehicle (EV) attributes can substantially boost adoption rates. Conversely, concerns regarding long charging times are significant deterrents to EV adoption, while motivations related to environmental benefits, such as reduced air pollution and greenhouse gas (GHG) emissions, serve as strong incentives. Elasticity analysis reveals that the choice of electric vehicles is most sensitive to purchase price, with elasticities of 0.91% for small electric cars, 1.11% for large electric cars, and 0.80% for electric pickup trucks for a one percent change in price. Driving range exhibits the second-highest elasticity, underscoring the critical role of affordability and performance improvements in fostering EV adoption in the US Midwest.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"175 ","pages":"Article 103877"},"PeriodicalIF":6.3000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Who is more likely to buy an EV? A descriptive and integrated choice model analysis in the US Midwest\",\"authors\":\"Omid Armantalab ,&nbsp;Hania Afzal ,&nbsp;Jason Hawkins\",\"doi\":\"10.1016/j.tranpol.2025.103877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study uses a combined revealed and stated preference approach to analyze vehicle ownership in the US Midwest. We apply integrated choice and latent variable (ICLV) models to survey data that includes current vehicle details, future vehicle preferences, and responses to stated choice tasks. By comparing these approaches, we explore how choice varies between free selection and structured stated choice tasks, and assess the impact of latent attitudinal factors on individual choice variation. Our findings reveal that increasing awareness of electric vehicle (EV) attributes can substantially boost adoption rates. Conversely, concerns regarding long charging times are significant deterrents to EV adoption, while motivations related to environmental benefits, such as reduced air pollution and greenhouse gas (GHG) emissions, serve as strong incentives. Elasticity analysis reveals that the choice of electric vehicles is most sensitive to purchase price, with elasticities of 0.91% for small electric cars, 1.11% for large electric cars, and 0.80% for electric pickup trucks for a one percent change in price. Driving range exhibits the second-highest elasticity, underscoring the critical role of affordability and performance improvements in fostering EV adoption in the US Midwest.</div></div>\",\"PeriodicalId\":48378,\"journal\":{\"name\":\"Transport Policy\",\"volume\":\"175 \",\"pages\":\"Article 103877\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2026-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport Policy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967070X25004202\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/11/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X25004202","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

摘要

本研究采用显性偏好和显性偏好相结合的方法来分析美国中西部地区的汽车拥有量。我们应用综合选择和潜在变量(ICLV)模型来调查数据,包括当前车辆细节、未来车辆偏好和对既定选择任务的反应。通过比较这些方法,我们探讨了自由选择和结构化陈述选择任务之间的选择差异,并评估了潜在态度因素对个体选择差异的影响。我们的研究结果表明,提高对电动汽车(EV)属性的认识可以大大提高采用率。相反,对充电时间长的担忧是电动汽车采用的重大阻碍,而与环境效益相关的动机,如减少空气污染和温室气体(GHG)排放,是强有力的激励因素。弹性分析显示,电动汽车的选择对购买价格最为敏感,在价格变化1%的情况下,小型电动汽车的弹性为0.91%,大型电动汽车的弹性为1.11%,电动皮卡的弹性为0.80%。续驶里程表现出第二高的弹性,强调了可负担性和性能改进在促进美国中西部电动汽车采用方面的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Who is more likely to buy an EV? A descriptive and integrated choice model analysis in the US Midwest
This study uses a combined revealed and stated preference approach to analyze vehicle ownership in the US Midwest. We apply integrated choice and latent variable (ICLV) models to survey data that includes current vehicle details, future vehicle preferences, and responses to stated choice tasks. By comparing these approaches, we explore how choice varies between free selection and structured stated choice tasks, and assess the impact of latent attitudinal factors on individual choice variation. Our findings reveal that increasing awareness of electric vehicle (EV) attributes can substantially boost adoption rates. Conversely, concerns regarding long charging times are significant deterrents to EV adoption, while motivations related to environmental benefits, such as reduced air pollution and greenhouse gas (GHG) emissions, serve as strong incentives. Elasticity analysis reveals that the choice of electric vehicles is most sensitive to purchase price, with elasticities of 0.91% for small electric cars, 1.11% for large electric cars, and 0.80% for electric pickup trucks for a one percent change in price. Driving range exhibits the second-highest elasticity, underscoring the critical role of affordability and performance improvements in fostering EV adoption in the US Midwest.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书