[Supporting Data and Software] The perception of COVID-19 infection risk in Long-distance travel

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.<br>Information on the data and model can be found in the README file and the python script below.