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

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

Dataset

• Transportation and Freight Services
• Ground Transport

COVID-19, Crowding, Public Transportation, Route choice, Stated preferences

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sanmay Shelat , Oded Cats, Sander van Cranenburgh

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.

• 2022-05-25 first online, published, posted

4TU.ResearchData

.xlsx

Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands

• https://doi.org/10.1016/j.tra.2022.03.027

nl

• My-TRAC (H2020 Grant No. 777640) project
• Transport Institute of TU Delft

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