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Transport

Transport Energy and Emissions Model for Policy Optimisation

TEMPO

Application

TEMPO can be used to determine transport demand, drive technologies, energy consumption by energy source, as well as greenhouse gas emissions in the transport sector. It is used, among other things, to model energy scenarios and to assess the impact of policy measures. The model can be used to answer, for example, how climate policy transport measures should be designed, how many electric cars are necessary to achieve climate targets, or which technologies accelerate, how and when.

Model core

Firstly, TEMPO calculates the demand for passenger and freight transport. Modelling is carried out for all stages – from traffic (distance, tonnes), to transport performance (passenger and tonne-kilometres), to mileage (vehicle kilometres) – and is essentially based on the development of the population and economy. It is divided, in detail, according to the dimensions of journey purpose, types of transport, age groups, means of transport, types of space, and the types of cargo. This allows different measures  such as modal split effects, higher loading factors, or increased home office – to be examined on the basis of models for their traffic effect.

In a second module, TEMPO uses a logit model to calculate the annual structure of new registrations for passenger cars and commercial vehicles. The vehicles are segmented according to size category, drive system, user type, and driving performance. The logit model can also be used to investigate the effects of policy measures or price shocks on new registrations. The structure of new registrations by drive technology then serves as input for the third module, for the calculation of annual vehicle cohorts. Finally, in the fourth module, energy consumption and GHG emissions are calculated in a differentiated manner for energy sources and modes of transport (as well as many other dimensions).

Application examples and projects

Target paths to meet the climate goals in transport

2021
| Project

Which policy measures are required to achieve the 2030 climate targets for transport? Prognos answers these questions for environmental association, Transport & Environment, in “Target paths for transport.”

Climate Path for Germany

2018
| Project

How can Germany reach its 2050 climate goals - and under what conditions is that possible? Those are the questions addressed by a study for the Association of German Industry (BDI).

Analysis of climate paths in the transport sector 2030

2019
| Project

On behalf of BDI and BCG, Prognos has analysed how Germany can achieve its climate protection targets for 2030 in the transport sector. The result: decisive changes are needed.

More on this model

Model type

  • Bottom-up deterministic model
  • Logit model for new registrations

Modelled dimensions

  • Conducted annually
  • Energy consumption
  • GHG emissions
  • Mode of transport structure by drive
  • Segment
  • User type
  • Performance
  • New registration structure and cohort

Region covered

  • National level
  • Federal state
  • Regional level

Time frame

1990 to 2050

Databases

  • Federal Motor Transport Office’s publicly available statistics
  • Transport in figures

Input

  • Demographic and economic development
  • Transport policy measures
  • Energy prices
  • Transport statistics (volumes [distance, tonnes], new registrations, stock, mileage, transport performance)
  • Energy sales in transport (energy balance)

Output

  • Transport performance by mode of transport and vehicle type
  • New registrations and stock by drive technology
  • Energy consumption (residents, domestic, and sales) by mode of transport
  • GHG emissions by mode of transport

 

Feel free to contact us.

Dr Almut Kirchner

Partner, Director

+41 61 32 73 331
almut.kirchner@prognos.com

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