Exploratory modeling and analysis : a promising method to deal with deep uncertainty. Proefschrift Technische Universiteit Delft TUD.

Author(s)
Agusdinata, D.B.
Year
Abstract

The PhD research showcases a promising quantitative and computational method for dealing with deep uncertainty: exploratory modeling and analysis (EMA). EMA explores the performance of alternative policies across multiple hypotheses about the system of interest. The method combines the capability of computers to carry out large numbers of model runs and the capability of humans to recognize patterns that are useful for policy design. EMA applications include three cases in energy infrastructure investment, transport safety, and CO2 reduction. Decisionmakers, analysts, consultants, researchers, and students can benefit from the original contributions the book provides on the conceptual framework, structured step-wise applications, and innovative analytical support to multi-criteria and multi-actor decision problems. (Author/publisher)

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Publication

Library number
20080651 ST [electronic version only]
Source

Delft, Delft University of Technology, 2008, XIV + 286 p., 22 ref.; NGInfra PhD Thesis Series on Infrastructures ; 19 - ISBN 978-90-71382-26-0 / Also published as: Delft, The Netherlands TRAIL Research School, 2008, XIV + 286 p., 22 ref.; TRAIL Thesis Series ; T2008/17 - ISBN 978-90-71382-26-0

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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.