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/e109fdb0-058f-4633-831e-8030c4d03ed4

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

Dataset

• Econometrics
• Other Health
• Other Economics
• Other Transport
• Transport
• Economics
• Health

Data-driven methods, Discrete choice experiments, Individual Choice Behaviour, Machine learning, Participatory Value Evaluation

CC BY 4.0

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

by José Ignacio Hernández

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

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

4TU.ResearchData

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

• https://doi.org/10.1371/journal.pone.0250614
• https://doi.org/10.1016/j.jocm.2022.100397
• https://doi.org/10.1016/j.jocm.2023.100427

• 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

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