{"title":"采用电动汽车的人口差异和影响因素:佛罗里达州案例研究","authors":"","doi":"10.1016/j.trd.2024.104465","DOIUrl":null,"url":null,"abstract":"<div><div>The mass adoption of electric vehicles (EVs) remains an emerging goal despite existing barriers. Equity issues widely exist, but previous studies have mainly focused on purchase incentives and charging infrastructure. This study employs multinomial logistic mixed (MLM) and generalized linear mixed models (GLMM) to analyze the probability of owning an EV and the willingness to purchase an EV in Florida, respectively. Our analysis indicates significant demographic disparities, with older individuals and females less likely to own Tesla EVs, while Black and Hispanic individuals prefer non-Tesla EVs; social networks and awareness of climate change are crucial in influencing the willingness to adopt EVs. Policy implications drawn from our findings suggest the need for targeted marketing and financial incentives to address demographic disparities, the expansion of social network influence to drive adoption, and increased awareness and accessibility of EV-related policies and infrastructure to promote a more equitable transition to electric mobility.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":null,"pages":null},"PeriodicalIF":7.3000,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Demographic disparity and influences in electric vehicle adoption: A Florida case study\",\"authors\":\"\",\"doi\":\"10.1016/j.trd.2024.104465\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The mass adoption of electric vehicles (EVs) remains an emerging goal despite existing barriers. Equity issues widely exist, but previous studies have mainly focused on purchase incentives and charging infrastructure. This study employs multinomial logistic mixed (MLM) and generalized linear mixed models (GLMM) to analyze the probability of owning an EV and the willingness to purchase an EV in Florida, respectively. Our analysis indicates significant demographic disparities, with older individuals and females less likely to own Tesla EVs, while Black and Hispanic individuals prefer non-Tesla EVs; social networks and awareness of climate change are crucial in influencing the willingness to adopt EVs. Policy implications drawn from our findings suggest the need for targeted marketing and financial incentives to address demographic disparities, the expansion of social network influence to drive adoption, and increased awareness and accessibility of EV-related policies and infrastructure to promote a more equitable transition to electric mobility.</div></div>\",\"PeriodicalId\":23277,\"journal\":{\"name\":\"Transportation Research Part D-transport and Environment\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2024-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part D-transport and Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S136192092400422X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S136192092400422X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Demographic disparity and influences in electric vehicle adoption: A Florida case study
The mass adoption of electric vehicles (EVs) remains an emerging goal despite existing barriers. Equity issues widely exist, but previous studies have mainly focused on purchase incentives and charging infrastructure. This study employs multinomial logistic mixed (MLM) and generalized linear mixed models (GLMM) to analyze the probability of owning an EV and the willingness to purchase an EV in Florida, respectively. Our analysis indicates significant demographic disparities, with older individuals and females less likely to own Tesla EVs, while Black and Hispanic individuals prefer non-Tesla EVs; social networks and awareness of climate change are crucial in influencing the willingness to adopt EVs. Policy implications drawn from our findings suggest the need for targeted marketing and financial incentives to address demographic disparities, the expansion of social network influence to drive adoption, and increased awareness and accessibility of EV-related policies and infrastructure to promote a more equitable transition to electric mobility.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.