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 https://data.4tu.nl/articles/dataset/A_Day_in_the_Life_with_an_Automated_Vehicle_Supporting_Data_and_Software/14125880.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, AV）使用者的日常活动日程变更情况。该调查于2019年7月在荷兰开展，共计509名受访者完成本次调查。完整调查数据集可通过以下链接获取：https://data.4tu.nl/articles/dataset/A_Day_in_the_Life_with_an_Automated_Vehicle_Supporting_Data_and_Software/14125880。相较于上述数据集已公开的初始分析，本配套数据集新增了两类分析方向：其一聚焦于出行者在使用自动驾驶汽车后日常活动日程预期变更方面的异质性特征；其二探讨预期变更缺失与调研参与度偏低之间的内在关联。本次分析采用潜类别聚类模型（latent class cluster models），并通过Latent Gold软件完成运算。详细信息请参阅README文件。