The European road safety decision support system on risks and measures

Journal article (2019)

Authors

Heike Martensen Vias institute
Kevin Diependaele Vias institute
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)
Stijn Daniels Vias institute
Wouter Van den Berghe Vias institute
E. Papadimitriou National Technical University of Athens
George Yannis National Technical University of Athens
Ingrid N.L.G. van Schagen Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV)
Wendy Weijermars Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV)
W. Wijnen W2Economics
Ashleigh J. Filtness Loughborough University
Affiliation
External organisation
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Published Date

2019

Language

English

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Affiliation

External organisation

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.