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Stated preference survey data supporting the PhD dissertation: "Vehicle-to-grid in the Netherlands: A sociotechnical multi-system analysis"

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DataCite Commons2025-12-18 更新2026-01-03 收录
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https://data.4tu.nl/datasets/92e8bb61-4379-4c62-a358-20c566927ce3/1
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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.<br>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., &amp; Chappin, É. J. (2025a). <em>Exploring user willingness to adopt vehicle-to-grid (V2G): A statistical analysis of stated intentions</em>. Energy Policy, 203, 114619.Bakhuis, J., Barbour, N., Molin, E., &amp; Chappin, É. J. (2025b). <em>Understanding user preferences regarding vehicle-to-grid (V2G): A latent class choice analysis</em>. Transportation Research Part A: Policy and Practice, 199, 104610.<br>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).
提供机构:
4TU.ResearchData
创建时间:
2025-12-18
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