Modelling public intentions to use innovative EV chargers employing hybrid energy storage systems: a UK case study based upon the Technology Acceptance Model

Christopher Robert Jones*, Herman Elgueta, Daphne Kaklamanou, Nikita Chudasama, Duncan East, Andrew Cruden

*Corresponding author for this work

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Abstract

The current study investigates public intentions to use an innovative, off-grid renewably powered EV charging technology called FEVER (Future Electric Vehicle Energy networks supporting Renewables). We report the findings of a questionnaire-based survey (QBS) conducted at a zoo in the south of England, exploring the prospect of demonstrating FEVER. The QBS was designed around a context-specific technology acceptance model (TAM) and administered both face-to-face (n = 63) and online (n = 158) from April to May 2023. The results indicate that most participants were willing to pay to use FEVER, particularly where revenue would benefit the zoo. The participants agreed they intended to use the chargers, and that they would be useful and easy to use. The participants agreed that there would be normative pressure to use the chargers, but that their use would be enjoyable. Of greatest concern was that the chargers would be blocked by others. The participants were ambivalent about concerns over charging duration and charge sufficiency. Structural equation modelling confirmed that the context-specific TAM explained 58% of people’s use intentions. The core relationships of the TAM were confirmed, with ‘perceived usefulness’ additionally predicted by subjective norms and ‘perceived ease of use’ additionally predicted by anticipated enjoyment. Of the other variables, only concern that the chargers would be blocked was retained as a marginal predictor of ‘perceived ease of use’. The implications of these findings for the co-design and demonstration of FEVER are discussed.
Original languageEnglish
Article number1405
Number of pages24
JournalEnergies
Volume17
Issue number6
DOIs
Publication statusPublished - 14 Mar 2024

Keywords

  • electric vehicles
  • charging infrastructure
  • technology acceptance model
  • mobility
  • public acceptance
  • UKRI
  • EPSRC
  • EP/W005883/1

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