Invloed veranderingen in inkomens, autokosten en snelheden op autobezit en -gebruik, energiegebruik en emissies

resultaten van 151 simulaties met Forecasting Airpollution by Car Traffic Simulation FACTS 2.0. In opdracht van het Ministerie van Volkshuisvesting, Ruimtelijke Ordening en Milieuhygiëne VROM, Directoraat-Generaal Milieubeheer DGM, Directie Strategische Planning.
Author(s)
Boose, J.J.E.C. Wee, G.P. van Egmond, P.M. van Geurs, K.T. & Gommers, F.M.C.
Year
Abstract

The Forecasting Air pollution by Car Traffic Simulation (FACTS) car computer model is used for predicting the influence of income and price changes on car ownership and use, energy and emissions. The great number of simulations show that the macro-economic scenario is seen to influence the effect of income and price measures. The influence of pricing measures on car ownership and use depend on how price increases are introduced, for instance an absolute or percentage-wise price increase, a general increase for all car models or an increase that varies with the car model (fuel, weight). Further the influence of prising measures depends on the cost item increased (such as fuel and other variable prices, sales taxes on new cars and annual road taxes). Finally, the effect of a measure changes over time. If two measures are combined, the overall effect is in 30% of the cases seen to differ from the expected effect. Sometimes combined price measures can even counteract each other, causing less effect than only one price measure.

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Publication

Library number
C 6561 [electronic version only] /72 /96 / IRRD 886348
Source

Bilthoven, Rijksinstituut voor Volksgezondheid en Milieuhygiene RIVM, 1996, 226 p., 16 ref.; Projectnummer 251701 / Rapportnummer 251701021

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.