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637 results on '"van den Bergh, J."'

171. How large is the gap between present and efficient transport prices in Europe?

Author

Proost, Stef, Van Dender, Kurt, Courcelle, C, De Borger, Bruno, Peirson, J, Vickerman, R, Gibbons, E, O'Mahony, M, Heaney, Q, Van den Bergh, J, and Verhoef, E

Subjects
external costs, transport pricing, social costs, congestion pricing
Abstract

In this paper we analyse the gap between present transport prices and efficient transport prices. Efficient transport prices are those prices that maximise economic welfare, including external costs (congestion, air pollution, accidents). The methodology is applied to six urban and interregional case studies using one common optimal pricing model. The case studies cover passenger as well as freight transport and cover all modes. We find that prices need to be raised most for peak urban passenger car transport and to a lesser extent for interregional road transport. Optimal pricing results for public transport are more mixed. We show that current external costs on congested roads are a bad guide for optimal taxes and tolls: the optimal toll that takes into account the reaction of demand is often less than one third of the present marginal external cost. ispartof: Working Papers pages:1-29 status: published

Published
2001

176. Een ameloblastoom

Author

Cune, M. S., van den Bergh, J. P., Smeele, L. E., and Other departments

Published
1998

184. Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps

Author

Meyer, V., primary, Becker, N., additional, Markantonis, V., additional, Schwarze, R., additional, van den Bergh, J. C. J. M., additional, Bouwer, L. M., additional, Bubeck, P., additional, Ciavola, P., additional, Genovese, E., additional, Green, C., additional, Hallegatte, S., additional, Kreibich, H., additional, Lequeux, Q., additional, Logar, I., additional, Papyrakis, E., additional, Pfurtscheller, C., additional, Poussin, J., additional, Przyluski, V., additional, Thieken, A. H., additional, and Viavattene, C., additional

Published
2013
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187. Validation of the ALARO-0 model within the EURO-CORDEX framework.

Author

Giot, O., Termonia, P., Degrauwe, D., De Troch, R., Caluwaerts, S., Smet, G., Berckmans, J., Deckmyn, A., De Cruz, L., De Meutter, P., Duerinckx, A., Gerard, L., Hamdi, R., Van den Bergh, J., Van Ginderachter, M., and Van Schaeybroeck, B.

Subjects
CLIMATE research, EARTH temperature, METEOROLOGICAL precipitation
Abstract

Using the regional climate model ALARO-0 the Royal Meteorological Institute of Belgium has performed two simulations of the past observed climate within the framework of the Coordinated Regional Climate Downscaling Experiment (CORDEX). The ERA-Interim reanalysis was used to drive the model for the period 1979-20 on the EURO-CORDEX domain with two horizontal resolutions, 0.11 and 0.44 °. ALARO-0 is characterised by the new microphysics scheme 3MT, which allows for a better representation of convective precipitation. In Kotlarski et al. (2014) several metrics assessing the performance in representing seasonal mean near-surface air temperature and pre10 cipitation are defined and the corresponding scores are calculated for an ensemble of models for different regions and seasons for the period 1989-2008. Of special interest within this ensemble is the ARPEGE model by the Centre National de Recherches Météorologiques (CNRM), which shares a large amount of core code with ALARO-0. Results show that ALARO-0 is capable of representing the European climate in an acceptable way as most of the ALARO-0 scores lie within the existing ensemble. However, for near-surface air temperature some large biases, which are often also found in the ARPEGE results, persist. For precipitation, on the other hand, the ALARO-0 model produces some of the best scores within the ensemble and no clear resemblance to ARPEGE is found, which is attributed to the inclusion of 3MT. Additionally, a jackknife procedure is applied to the ALARO-0 results in order to test whether the scores are robust, by which we mean independent of the period used to calculate them. Periods of 20 years are sampled from the 32 year simulation and used to construct the 95% confidence interval for each score. For most scores these intervals are very small compared to the total ensemble spread, implying that model differences in the scores are significant. [ABSTRACT FROM AUTHOR]

Published
2015
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