Exploring the role of Technophilia on electric vehicle use: a structural equation modelling approach

IF 4.4 2区 工程技术 Q1 PSYCHOLOGY, APPLIED
Rongqiu Song , Paul Haggar , Dimitrios Xenias , Dimitris Potoglou
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引用次数: 0

Abstract

The transition to electric vehicles (EVs) plays a crucial role in achieving sustainable transport and reducing greenhouse gas emissions. However, EV adoption rates in the UK remain relatively low compared to some other European nations. Understanding the factors influencing individuals’ EV adoption behaviour is essential for shaping effective policies to encourage EV uptake. This study focuses on the role of technophilic consumer attitudes, ‘an individual’s openness to, and enthusiasm for, technological innovation’. The study analysed data from 302 EV and 279 non-EV users who were sampled across Great Britain. Logistic regression models, examine the relationship between EV vehicle adoption and socio-demographic characteristics and Technophilia; that latter was quantified by different specifications of Generalised Structural Equation Models (GSEM). The findings indicated that younger, wealthier individuals, and those with children were more likely to use EVs. Technophilia was a significant factor in the likelihood of EV use and mediated the effects of socio-demographic characteristics. Specifically, younger individuals, males, with higher levels of income, having more children, living in London, tended to have higher levels of Technophilia, and thus were more likely to use EVs. By highlighting the mediating role of Technophilia in EV use, this study fills a critical research gap and offers novel insights into socio-demographic and attitudinal patterns specific to the British context. The findings underscore the importance of integrating socio-demographic and psychological factors into strategies aimed at accelerating EV adoption.
探索技术癖在电动汽车使用中的作用:结构方程建模方法
向电动汽车的过渡在实现可持续交通和减少温室气体排放方面发挥着至关重要的作用。然而,与其他一些欧洲国家相比,英国的电动汽车采用率仍然相对较低。了解影响个人电动汽车使用行为的因素对于制定鼓励电动汽车使用的有效政策至关重要。这项研究的重点是技术消费者态度的作用,“个人对技术创新的开放和热情”。该研究分析了英国302名电动汽车用户和279名非电动汽车用户的数据。采用Logistic回归模型,考察电动汽车采用率与社会人口特征和技术偏好之间的关系;后者通过不同规格的广义结构方程模型(GSEM)进行量化。研究结果表明,年轻、富裕和有孩子的人更有可能使用电动汽车。技术偏好是影响电动汽车使用可能性的重要因素,并介导了社会人口统计学特征的影响。具体来说,年轻的个人,男性,收入水平较高,有更多的孩子,住在伦敦,倾向于有更高的技术癖,因此更有可能使用电动汽车。通过强调科技癖在电动汽车使用中的中介作用,本研究填补了一个关键的研究空白,并为英国特定背景下的社会人口和态度模式提供了新的见解。研究结果强调了将社会人口和心理因素整合到旨在加速电动汽车采用的战略中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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