The Behavioral Dimension of Transport Decarbonization

Achieving effective decarbonization requires not only technological innovation but also a deep understanding of human behavior. This paper, based on an interdisciplinary workshop, highlights the necessity of integrating behavioral insights into the design of climate policies to ensure they are technically effective, socially acceptable, and equitable. We propose a methodological framework combining behavioral data collection, choice modeling, agent-based simulation, and optimization to forecast the impacts of policy measures and support adaptive policymaking under deep uncertainty. While the focus is on decarbonizing the transport sector, the approach is broadly applicable across sectors, aiming to enhance both emissions reductions and societal well-being.