The European road safety decision support system on risks and measures

Journal Article (2019)
Author(s)

Heike Martensen (Vias institute)

Kevin Diependaele (Vias institute)

Stijn Daniels (Vias institute)

Wouter Van den Berghe (Vias institute)

Eleonora Papadimitriou (National Technical University of Athens)

George Yannis (National Technical University of Athens)

Ingrid Van Schagen (Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV))

Wendy Weijermars (Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV))

Wim Wijnen (W2Economics)

Ashleigh Filtness (Loughborough University)

Rachel Talbot (Loughborough University)

Pete Thomas (Loughborough University)

Klaus Machata (Kuratorium für Verkehrssicherheit)

Eva Aigner Breuss (Kuratorium für Verkehrssicherheit)

Susanne Kaiser (Kuratorium für Verkehrssicherheit)

Thierry Hermitte (PSA Peugeot Citroën)

Rob Thomson (Chalmers University of Technology)

Rune Elvik (Institute for Transport Economics (TOI))

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.aap.2018.08.005 Final published version
More Info
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Publication Year
2019
Language
English
Affiliation
External organisation
Journal title
Accident Analysis and Prevention
Volume number
125
Pages (from-to)
344-351
Downloads counter
224

Abstract

The European Road Safety Decision Support System (roadsafety-dss.eu) is an innovative system providing the available evidence on a broad range of road risks and possible countermeasures. This paper describes the scientific basis of the DSS. The structure underlying the DSS consists of (1) a taxonomy identifying risk factors and measures and linking them to each other, (2) a repository of studies, and (3) synopses summarizing the effects estimated in the literature for each risk factor and measure, and (4) an economic efficiency evaluation instrument (E3-calculator). The DSS is implemented in a modern web-based tool with a highly ergonomic interface, allowing users to get a quick overview or go deeper into the results of single studies according to their own needs.