Doctoral student (lic) From Behaviour to Emissions: Modeling modal shift

Project description

Third-cycle subject: Transport Science

The transition toward sustainable mobility requires both a deep understanding of behavioural dynamics and robust forecasting tools that can anticipate future changes in car ownership and emissions. The overall objective of the research project is to develop a comprehensive framework that integrates behavioural theory, deep learning and xAI, and resilience analysis to understand the impact of infrastructural interventions on modal shift and transport emissions. This is part of a large European project where interventions will be designed and implemented by prioritizing public transport in several municipalities, including mobility and service hubs to promote intermodal transport usage. Main activities include methodological concept development with literature review, data collection and analysis, model validation and stress testing.

Empirical evidence will be documented in scientific pub...