Description
This dataset consists of stated preference survey responses from 1,018 participants in the Netherlands. The survey includes an embedded discrete choice experiment in which respondents evaluated V2G contracts characterized by four attributes—financial compensation, guaranteed driving range, required plug-in time, and additional battery degradation—each varied across three levels. In addition, the survey collected responses to labelled choice questions, as well as detailed socio-demographic, household, car use, and attitudinal questions.
The dataset underlies the PhD research of Jerico Bakhuis ("Vehicle-to-grid in the Netherlands: A sociotechnical multi-system analysis"), specifically on vehicle-to-grid (V2G) choice modelling in the Netherlands. The data support the empirical analyses presented in two peer-reviewed publications:
Bakhuis, J., Barbour, N., & Chappin, É. J. (2025a). Exploring user willingness to adopt vehicle-to-grid (V2G): A statistical analysis of stated intentions. Energy Policy, 203, 114619.
Bakhuis, J., Barbour, N., Molin, E., & Chappin, É. J. (2025b). Understanding user preferences regarding vehicle-to-grid (V2G): A latent class choice analysis. Transportation Research Part A: Policy and Practice, 199, 104610.
These data were used to estimate multiple discrete choice models. Specifically, three mixed logit models were estimated using Nlogit software for the analysis reported in Bakhuis et al. (2025a), and a latent class choice model was estimated using LatentGold software for the analysis reported in Bakhuis et al. (2025b).
The dataset underlies the PhD research of Jerico Bakhuis ("Vehicle-to-grid in the Netherlands: A sociotechnical multi-system analysis"), specifically on vehicle-to-grid (V2G) choice modelling in the Netherlands. The data support the empirical analyses presented in two peer-reviewed publications:
Bakhuis, J., Barbour, N., & Chappin, É. J. (2025a). Exploring user willingness to adopt vehicle-to-grid (V2G): A statistical analysis of stated intentions. Energy Policy, 203, 114619.
Bakhuis, J., Barbour, N., Molin, E., & Chappin, É. J. (2025b). Understanding user preferences regarding vehicle-to-grid (V2G): A latent class choice analysis. Transportation Research Part A: Policy and Practice, 199, 104610.
These data were used to estimate multiple discrete choice models. Specifically, three mixed logit models were estimated using Nlogit software for the analysis reported in Bakhuis et al. (2025a), and a latent class choice model was estimated using LatentGold software for the analysis reported in Bakhuis et al. (2025b).
| Date made available | 2025 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Geographical coverage | The Netherlands |
Research output
- 2 Article
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Exploring user willingness to adopt vehicle-to-grid (V2G): A statistical analysis of stated intentions
Bakhuis, J., Barbour, N. & Chappin, É. J. L., 2025, In: Energy Policy. 203, 114619.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)179 Downloads (Pure) -
Understanding user preferences regarding vehicle-to-grid (V2G): A latent class choice analysis
Bakhuis, J., Barbour, N., Molin, E. & Chappin, É. J. L., 2025, In: Transportation Research Part A: Policy and Practice. 199, 33 p., 104610.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)61 Downloads (Pure)
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