Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity. 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. 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）使用者的日常日程变动情况。该调查于2019年7月在荷兰开展，共有509名受访者完成本次问卷。完整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。本数据包在上述数据集已有的初始分析基础上，补充了聚焦于出行者群体异质性的全新分析，该分析围绕自动驾驶汽车使用场景下，出行者日常活动日程的预期变化展开。本次分析采用潜在类别聚类模型（latent class cluster models），并通过Latent Gold软件完成。详细信息请参阅附带的README文件。