{"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 , Hania Afzal , 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 , Hania Afzal , 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}
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.
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.