International Transport Energy Modeling International Transport Energy Modeling, or iTEM, is an open group of people and organizations interested in the role of energy in the world's transport system.
Our shared goal is to better understand the methods and data that are employed to study this system—especially, model with international or global scope—and through dialogue to improve knowledge of the system, its ongoing evolution, and the policy and technology options for guiding its changes.
Who we are
iTEM uniquely convenes groups which approach transport and energy from broadly different directions, and with different immediate objectives. The full list of participating groups includes:
- Academic groups at universities and independent research organizations,
- Departments within national governments,
- International government organizations (IGOs),
- Non-governmental organizations (NGOs),
- Energy firms, and
- Consultancies.
iTEM welcomes broader participation from the global transport-energy modelling community. Interested teams should contact the iTEM organizing group.
Activities
Together, iTEM participants…
Convene regular workshops that include:
- Comparison of projections, as collected in a shared database used for model intercomparison (above),
- Motivated by these comparisons, methodological discussion of existing models,
- Analysis of the projected impacts of proposed and existing policies, and
- Focused sessions on fundamental drivers, new technologies and novel methods in transport energy research.
Conduct regular model intercomparison projects (MIPs) involving future projections from global transport energy models:
- Current: 3rd (2019) and 4th (2020) MIPs.
- Earlier: 2nd (2017) MIP. 1st MIP (2016) summarized by Yeh et al. (2017), “Detailed assessment of global transport-energy models’ structures and projections” in Transportation Research Part D: Transport and Environment. DOI: 10.1016/j.trd.2016.11.001.
Produce a database of historical transport statistics, using open source tools and for public use, including for model calibration and related research.