TY - DATA
T1 - [Supporting Data and Software] The perception of COVID-19 infection risk in Long-distance travel
PY - 2024/10/28
AU - Nejc Geržinič
AU - Maurizio van Dalen
AU - Barth Donners
AU - Oded Cats
UR - 
DO - 10.4121/8a77dbc7-cde0-4c5d-9763-53823af947a4.v1
KW - Long-distance travel
KW - COVID-19
KW - Risk perception
KW - Hierarchical information integration
KW - Latent Class Choice Model
N2 - <p>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.</p><p>&nbsp;</p><p>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.</p><p><br></p><p>Information on the data and model can be found in the README file and the python script below.</p>
ER -