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.
" authors: - family-names: Geržinič given-names: Nejc orcid: "https://orcid.org/0000-0001-7533-0109" - family-names: van Dalen given-names: Maurizio orcid: "https://orcid.org/0009-0004-8510-629X" - family-names: Donners given-names: Barth orcid: "https://orcid.org/0000-0002-7111-1280" - family-names: Cats given-names: Oded orcid: "https://orcid.org/0000-0002-4506-0459" title: "[Supporting Data and Software] The perception of COVID-19 infection risk in Long-distance travel" keywords: version: 1 identifiers: - type: doi value: 10.4121/8a77dbc7-cde0-4c5d-9763-53823af947a4.v1 license: CC BY-NC 4.0 date-released: 2024-10-28