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Modelling public intentions to use innovative EV chargers employing hybrid energy storage systems: a UK case study based upon the technology acceptance model

Modelling public intentions to use innovative EV chargers employing hybrid energy storage systems: a UK case study based upon the technology acceptance model
Modelling public intentions to use innovative EV chargers employing hybrid energy storage systems: a UK case study based upon the technology acceptance model
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.
charging infrastructure, electric vehicles, mobility, public acceptance, technology acceptance model
1996-1073
Jones, Christopher R.
8703e42c-ea8e-45b7-ac98-1ad31c22c852
Elgueta, Herman
2d65f2ef-a6cc-4220-977b-c4f2a8087c82
Chudasama, Nikita
28f1710d-e56e-452a-9185-302bef08de0e
Kaklamanou, Daphne
a6aec84b-1d96-4490-be61-61f15aa6b7bb
East, Duncan
42da7034-1f2a-407b-8d36-4d8c295efe84
Cruden, Andrew J.
ed709997-4402-49a7-9ad5-f4f3c62d29ab
et al.
Jones, Christopher R.
8703e42c-ea8e-45b7-ac98-1ad31c22c852
Elgueta, Herman
2d65f2ef-a6cc-4220-977b-c4f2a8087c82
Chudasama, Nikita
28f1710d-e56e-452a-9185-302bef08de0e
Kaklamanou, Daphne
a6aec84b-1d96-4490-be61-61f15aa6b7bb
East, Duncan
42da7034-1f2a-407b-8d36-4d8c295efe84
Cruden, Andrew J.
ed709997-4402-49a7-9ad5-f4f3c62d29ab

Jones, Christopher R., Elgueta, Herman and Chudasama, Nikita , et al. (2024) Modelling public intentions to use innovative EV chargers employing hybrid energy storage systems: a UK case study based upon the technology acceptance model. Energies, 17 (6), [1405]. (doi:10.3390/en17061405).

Record type: Article

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.

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Accepted/In Press date: 8 March 2024
Published date: 14 March 2024
Additional Information: Publisher Copyright: © 2024 by the authors.
Keywords: charging infrastructure, electric vehicles, mobility, public acceptance, technology acceptance model

Identifiers

Local EPrints ID: 488456
URI: http://eprints.soton.ac.uk/id/eprint/488456
ISSN: 1996-1073
PURE UUID: 0dc0c8cf-e8d5-44a3-9c04-37e92005b992
ORCID for Andrew J. Cruden: ORCID iD orcid.org/0000-0003-3236-2535

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Date deposited: 22 Mar 2024 17:47
Last modified: 02 May 2024 01:43

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Contributors

Author: Christopher R. Jones
Author: Herman Elgueta
Author: Nikita Chudasama
Author: Daphne Kaklamanou
Author: Duncan East
Corporate Author: et al.

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