Understanding and Influencing Real-world Travel Mode Decisions
- Key Themes:
- Personal Practice meets Travel Planning
- Principal Supervisor:
- Sam Cromie
- Co-Supervisor:
- Owen Conlon
- Supervision Team:
- Brian Caulfield
- Description:
Transport mode selection models are good at predicting the influence of time, distance and cost on travel mode decisions, but these factors only account for over 70% of the variability in trip decisions. This research is focussed on understanding the other 30% and how to use this understanding to influence decisions towards more sustainable modes. The research will look at:
- Individual differences in mode selection criteria & processes
- How contextual factors influence mode selection and interact with individual differences
- How decision support technologies can influence mode selection through personalisation and nudging.
