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Evaluation of the Swedish car fleet model using recent applications
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.ORCID iD: 0000-0002-4754-3147
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science.ORCID iD: 0000-0002-6839-8540
2016 (English)In: Transport Policy, ISSN 0967-070X, E-ISSN 1879-310X, Vol. 49, 30-40 p.Article in journal (Refereed) PublishedText
Abstract [en]

The composition of the car fleet with respect to age, fuel consumption and fuel types plays an important role on environmental effects, oil dependency and energy consumption. In Sweden, a number of different policies have been implemented to support CO2 emission reductions. In order to evaluate effects of different policies, a model for the evolution of the Swedish car fleet was developed in 2006. The model has been used in a number of projects since then, and it is now possible to compare forecasts with actual outcomes. Such evidence is relatively rare, and we think it may be useful to share our experience in this respect.We give a brief overview of the Swedish car fleet model system. Then we describe policies that have been implemented in recent years and the evolution of the Swedish car fleet. We then focus on two projects which enable comparison with actual outcomes, and analyse the differences between forecasts and outcomes. We find that the model has weaknesses in catching car buyers' preferences of new technology. When this is not challenged too much, the model can forecast reasonably well on an aggregate level. We also find that the model is quite sensitive to assumptions on future supply. This is not so much related to the model, but to its use. Depending on the use of the forecasts - be it car sales, emissions or fuel demand - it may be necessary to use different supply scenarios to get an idea of the robustness of the forecast result.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 49, 30-40 p.
Keyword [en]
Car fleet model, Clean car policy, Forecasting, Model evaluation, Nested logit, Scrapping model
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-186924DOI: 10.1016/j.tranpol.2016.03.010ISI: 000378181200004ScopusID: 2-s2.0-84962248223OAI: diva2:928784

QC 20160516

Available from: 2016-05-16 Created: 2016-05-16 Last updated: 2016-07-15Bibliographically approved

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