The behavioral dimension of transport decarbonization
Abstract Achieving effective decarbonization requires technological innovation and understanding of behavior. Drawing on an interdisciplinary workshop, this paper emphasizes integrating behavioral insights into climate policy design to ensure technical effectiveness, social acceptability, and equity. We propose a framework combining behavioral data, choice modeling, agent-based simulation, and optimization to assess policy impacts under deep uncertainty. Although focused on transport, the approach generalizes across sectors.
Authors
- Moshe Ben‐Akiva (ORCID: https://orcid.org/0000-0002-9635-9987)
- Khan Doyme
- Shari Gershenfeld
- Andreas Schäfer (ORCID: https://orcid.org/0000-0002-0301-6644)
- Aruna Sivakumar
- Linda Steg
- Ravi Seshadri
- Nathalie Picard
- Michel Bierlaire
Institutions
- University of Groningen (NL)
- University of Mobile (US)
- University College London (GB)
- Imperial College London (GB)
- École Polytechnique Fédérale de Lausanne (CH)
- Massachusetts Institute of Technology (US)
- Université de Strasbourg (FR)
- Technical University of Denmark (DK)
Publication Details
- Journal
- npj Sustainable Mobility and Transport
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1038/s44333-025-00075-z
- Primary Topic
- Transportation Planning and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00