Decarbonisation
Data collection
Modelling Data Prioritisation
Prioritisation of Data Resources to Support Modelling of Transport Decarbonisation in LMICs
Synthesises best practice, the data landscape and available data resources needed to model transport decarbonisation with digital twins.
Project ID: TRiP 2.2
Lead: Heriot-Watt University
Partners: Durham University, Ethio-Djibouti Railway Share Company
Workstream: WS2: Interoperability modelling & standards
At a glance
Region Ethiopia, Vietnam
Duration May 2026 – March 2027
Best practice in digital modelling of decarbonisation
Survey of regional policy documents
Requirements for decarbonisation digital twins
What best practice exists for digital modelling of decarbonisation interventions?
Research activities
Best-practice examples
State of the transport data landscape
Data streams needed for multimodal digital twins
Planned research outputs
5 policy reports
Audience-specific outreach
Education materials
Relevance & uptake
Advice to operators · follow-up digital twin study
Implemented by
Heriot-Watt University
Meet us at
Conference participation [tbc]