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.” Read more 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). Read more 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. Read more 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 Go to profile Your name Phone Email address Your message Data protection notice Yes, I consent to Prognos processing the personal data I have provided above in order to best address the request I have made. I can revoke my consent at any time with effect for the future by sending an e-mail to info@prognos.com. You can find further information in our data protection declaration. Leave this field blank