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Rapport (Rapport De Recherche) Année : 2016

Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1

Charles Goldenbeld
  • Fonction : Auteur
Michael Jansch
  • Fonction : Auteur
MHH
Julien Leblud
  • Fonction : Auteur
Branka Leskovsek
  • Fonction : Auteur
AVP
Eleonora Papadimitriou
  • Fonction : Auteur
Jesper Sandin
  • Fonction : Auteur
Niklas Strand
  • Fonction : Auteur
Athanasios Theofilatos
  • Fonction : Auteur
Ingrid van Schagen
  • Fonction : Auteur
George Yannis
  • Fonction : Auteur
Apostolos Ziakopoulos
  • Fonction : Auteur

Résumé

Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS). The DSS will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures, and cost-effective approaches to reduce casualties of all road user types and all severities. This document is the first deliverable (4.1) of work package 4 which is dedicated to identifying and assessing human related risk factors and corresponding countermeasures as well as their effect on road safety. The focus of deliverable 4.1 is on identification and assessment of risk factors and describes the corresponding operational procedure and corresponding outcomes. The following steps have been carried out: Identification of human related risk factors - creation of a taxonomy, Consultation of relevant stakeholders and policy papers for identification of topic with high, priority ('hot topics'), Systematic literature search and selection of relevant studies on identified risk factors, Coding of studies, Analysis of risk factors on basis of coded studies, Synopses of risk factors, including accident scenarios, The core output of this task are synopses of risk factors which will be available through the DSS. Within the synopses, each risk factor was analysed systematically on basis of scientific studies and is, further assigned to one of four levels of risk (marked with a colour code). Essential information of the more than 180 included studies were coded and will also be available in the database of the DSS. Furthermore, the synopses contain theoretical background on the risk factor and are prepared in different sections with different levels of detail for an academic as well as a non-academic audience. These sections are readable independently.It is important to note that the relationship between road safety and road user related risk factors is a difficult task. For some risk factors the available studies focused more on conditions of the behaviour (in which situations the behaviour is shown or which groups are more likely to show this behaviour) rather than the risk factor itself. Therefore, it cannot be concluded that those risk factors that have not often been studied or have to rely more indirect and arguably weaker methodologies, e.g. self-reports , do not increase the chance of a crash occurring.The following analysed risk factors were assessed as 'risky', 'probably risky' or 'unclear'. No risk factors were identified as 'probably not risky'.
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Dates et versions

hal-01488978 , version 1 (14-03-2017)

Identifiants

  • HAL Id : hal-01488978 , version 1

Citer

Rachel Talbot, Eva Aigner-Breuss, Susanne Kaiser, Raffaele Alfonsi, Eveline Braun, et al.. Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1. [Research Report] IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux. 2016, 541 p. ⟨hal-01488978⟩
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