Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity behind the veil of low survey commitment. Supporting Data and Software

This dataset contains data from an interactive stated activity-travel survey aimed to investigate daily schedule changes of future automated vehicle users. The survey was conducted in the Netherlands, in July 2019. 509 respondents completed this survey.The full survey can be found in <strong>A Day in the Life with an Automated Vehicle: Supporting Data and Software</strong>.Complementing the first analysis available in the above dataset, the current package includes new analysis focused on the heterogeneity among the travellers regarding their expected changes in daily activity schedules with automated vehicles and on the link between the lack of expected changes and low commitment to survey. The analysis method is latent class cluster models, and it was performed in Latent Gold. See the README file for further details.

本数据集源自一项交互式陈述性活动-出行调查，旨在探究未来自动驾驶汽车（Automated Vehicle）用户的日常活动-出行计划变更情况。本次调查于2019年7月在荷兰开展，共有509名受访者完成了本次调查。完整的调查数据可参见论文《A Day in the Life with an Automated Vehicle: Supporting Data and Software》。本数据集作为上述公开数据集首项分析的补充内容，本次配套数据包新增了两项针对性分析：其一聚焦于出行者在自动驾驶汽车影响下的日常活动计划预期变更的异质性特征，其二探讨了预期无变更行为与受访者调查参与度偏低之间的内在关联。本次分析采用潜在类别聚类模型（latent class cluster models），并借助Latent Gold软件完成。更多详细信息请参阅自述文件（README）。