Data underlying the research on analysing traveller behaviour in public transport in the early stages of COVID-19 pandemic in the Netherlands

doi: 10.4121/19836385.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19836385
Datacite citation style:
Shelat, Sanmay; Oded Cats; van Cranenburgh, Sander (2022): Data underlying the research on analysing traveller behaviour in public transport in the early stages of COVID-19 pandemic in the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19836385.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
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geolocation
The Netherlands

Data for the paper "Traveller behaviour in public transport in the early stages of COVID-19 pandemic in the Netherlands". Includes, respondents' rankings between two train options and an opt-out option for different choice situations with varying COVID-19 contexts and travel time attributes. Personal characteristics related to mobility, socio-economic status, and COVID-19 perception are also included. A data dictionary is included in the data file. Further information can be found in the linked paper.



history
  • 2022-05-25 first online, published, posted
publisher
4TU.ResearchData
format
.xlsx
language
nl
funding
  • My-TRAC (H2020 Grant No. 777640) project
  • Transport Institute of TU Delft
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning
TU Delft, Faculty of Policy, Technology and Management, Department of Engineering Systems and Services, Transport and Logistics Group

DATA

files (1)