TY - DATA T1 - Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity. Supporting Data and Software PY - 2023/03/31 AU - Fatima-Zahra Debbaghi AU - Maarten Kroesen AU - Gerdien De Vries AU - Baiba Pudane UR - DO - 10.4121/141522d5-84a8-4ec7-a362-d01ef2c75b7a.v1 KW - automated vehicles KW - time use KW - activity schedules KW - on-board activities KW - latent class cluster model KW - multitasking KW - heterogeneity N2 -

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.

ER -