Participatory Decision-Making under Deep Uncertainty

Modeling mobility transitions

Doctoral Thesis (2025)
Author(s)

K.J. Führer (TU Delft - Policy Analysis)

Contributor(s)

J.H. Kwakkel – Promotor (TU Delft - Policy Analysis)

Etiënne A.J.A. Rouwette – Promotor (Radboud Universiteit Nijmegen)

F.M. d'Hont – Copromotor (TU Delft - Policy Analysis)

Research Group
Policy Analysis
DOI related publication
https://doi.org/10.4233/uuid:dfde52d8-0f64-4f21-8759-76c0c2b7e84b Final published version
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Policy Analysis
Publisher
TRAIL Research School
ISBN (print)
978-90-5584-373-2
Downloads counter
182
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Transitioning to a more sustainable mobility system is a challenging task due to the complexity of the system, the presence of multiple actors with diverging views on the problem, the uncertainty about the system's current state, how the future might unfold and affect the system, and what values to consider. This research contributes a novel approach to address the wicked problem of transitioning to more sustainable mobility. We build on transition modeling, stakeholder engagement, and decision-making under deep uncertainty (DMDU) to enable decision-makers to frame the problem, model the system, generate policies, and deliberate these policies while taking uncertainty into account. By designing, executing, and evaluating DMDU processes involving stakeholders, we make the first steps to establish a practice of participatory DMDU.

Files

License info not available