Nejc Geržinič,
Maurizio van Dalen,
Barth Donners,
Oded Cats,
Version 1 of Dataset published 2024 via 4TU.ResearchData
The files included below are part of a research on passengers' perception of infection risk with COVID-19 and its relation to long-distance (international) travel. Data was collected through a Hierarchical Information Integration (HII) approach, where respondents were first asked to rate their perceived risk of infection, based on various safety measures. This subjective risk was then included in a mode choice experiment for long-distance trips, where respondents could choose between car, train and aircraft.
Information on the data and model can be found in the README file and the python script below.