Data of the dissertation "Data-driven methods to study individual choice behaviour: with applications to discrete choice experiments and Participatory Value Evaluation experiments"

DOI:10.4121/e109fdb0-058f-4633-831e-8030c4d03ed4.v1
The DOI displayed 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/e109fdb0-058f-4633-831e-8030c4d03ed4

Datacite citation style

Hernández, José Ignacio (2023): Data of the dissertation "Data-driven methods to study individual choice behaviour: with applications to discrete choice experiments and Participatory Value Evaluation experiments". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e109fdb0-058f-4633-831e-8030c4d03ed4.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The files and links to the source datasets from the dissertation "Data-driven methods to study individual choice behaviour: with applications to discrete choice experiments and Participatory Value Evaluation experiments" are provided here. Please, see the README.txt file first.


The .zip file contains the datasets for chapters 4 and 6 of the dissertation, as well as a snapshot of the code for chapter 6. For chapters 2, 3 and 5, data are already published, thus only a link and reference are provided in the README.txt file

History

  • 2023-06-28 first online, published, posted

Publisher

4TU.ResearchData

Format

text/csv, text/plain, text/x-script.python, application/json, image/png

Funding

  • Participatory Value Evaluation: a new assessment model for promoting social acceptance of sustainable energy policies (grant code 313-99-333) [more info...] Dutch Research Council
  • TU Delft COVID-19 response fund

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department: Engineering Systems and Services

DATA

Files (2)