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

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).

本数据集包含来自荷兰1018名受访者的陈述性偏好调查（stated preference survey）结果。本次调查内嵌离散选择实验（discrete choice experiment），受访者需对车辆到电网（Vehicle-to-Grid, V2G）合约进行评估，该类合约包含四个属性：经济补偿、保障续航里程、要求充电接入时长以及额外电池衰减，每个属性均设置三个水平开展变量化设置。此外，调查还收集了带标签选择问题的作答数据，以及详细的社会人口学特征、家庭状况、车辆使用行为与态度类问题的反馈。<br>本数据集支撑了Jerico Bakhuis的博士研究《荷兰车辆到电网技术：社会技术多系统分析》，具体聚焦于荷兰地区的车辆到电网（V2G）选择建模研究。相关数据支撑了两篇同行评议期刊论文中的实证分析：Bakhuis J, Barbour N, Chappin É J. 2025a. 探索用户采用车辆到电网（V2G）的意愿：陈述意图的统计分析[J]. 能源政策, 203: 114619. Bakhuis J, Barbour N, Molin E, Chappin É J. 2025b. 理解用户对车辆到电网（V2G）的偏好：潜在类别选择分析[J]. 交通研究A辑：政策与实践, 199: 104610.<br>本数据集被用于估计多种离散选择模型。具体而言，针对Bakhuis等人（2025a）的分析内容，研究人员使用Nlogit软件估计了3个混合Logit模型；针对Bakhuis等人（2025b）的分析内容，则使用LatentGold软件估计了1个潜在类别选择模型。