How can digital twins address city-level problems such as transportation planning as work patterns change?
This project represents an early trial to address the research gap on city-level digital twins. The pilot is focused on commutes, such as journeys to work, which are a key determinant of peak-time travel demand. It aims to develop a digital twin model prototype for examining the potential impacts of digital transformation on journeys to work in the Cambridge sub-region
Outcomes
A computational digital twin model was developed based on the journeys to work data. The proposed digital twin model builds on established transport modelling methods and incorporates new explanatory variables relating to the type of employment and the demands on the built environment.
Method
Data analysis
Case study
Prototyping
Next steps
This paper outlines several areas that need further research, but illustrates that city planners can already use existing tools for decision support using federated data and modelling.
Presentation at CDBB Week 2019
