Song, Rongqiu, Haggar, Paul  ORCID: https://orcid.org/0000-0001-8753-1848, Xenias, Dimitrios ORCID: https://orcid.org/0000-0002-2973-9664 and Potoglou, Dimitris ORCID: https://orcid.org/0000-0003-3060-7674
2025.
Exploring the role of Technophilia on electric vehicle use: a structural equation modelling approach.
Transportation Research Part F: Traffic Psychology and Behaviour
115
, 103328.
10.1016/j.trf.2025.103328
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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.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Geography and Planning (GEOPL) Schools > Psychology |
| Publisher: | Elsevier |
| ISSN: | 1369-8478 |
| Date of First Compliant Deposit: | 31 July 2025 |
| Date of Acceptance: | 29 July 2025 |
| Last Modified: | 11 Aug 2025 10:19 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/180185 |
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