%0 Generic
%A Debbaghi, Fatima-Zahra
%A Kroesen, Maarten
%A De Vries, Gerdien
%A Pudane, Baiba
%D 2024
%T Daily schedule changes in the automated vehicle era: Uncovering the heterogeneity behind the veil of low survey commitment. Supporting Data and Software
%U 
%R 10.4121/141522d5-84a8-4ec7-a362-d01ef2c75b7a.v2
%K automated vehicles
%K time use
%K activity schedules
%K on-board activities
%K latent class cluster model
%K multitasking
%K heterogeneity
%X <p>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.</p><p>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.</p><p>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.</p>
%I 4TU.ResearchData