FROM TRAFFIC SAFETY CULTURE KNOWLEDGE TO ACTION: A PRELIMINARY ARCHITECTURE FOR CONTEXT-SENSITIVE DECISION SUPPORT

Road Safety interventions intended to strengthen Traffic Safety Culture (TSC) may address conditions within the wider road transport system, ultimately influencing the shared values, beliefs, and norms, and motivation of road users. Selecting interventions for a particular TSC challenge requires public authorities and practitioners to consider the implementation context. This paper presents the conceptual and methodological foundations of the proposed Roads4All Decision Support Toolkit (DST). Stakeholder user stories, survey responses, and project knowledge informed a preliminary intervention catalogue, structured profiles and filters, and a TSC-oriented semantic model. The proposed DST architecture combines context-sensitive semantic matching with direct browsing of the intervention catalogue and safety impacts knowledge map. Natural language processing and machine learning are envisaged to support input interpretation and relevance assessment. The DST would present interventions’ potential contributions to TSC alongside implementation considerations. Its usability and retrieval relevance remain to be evaluated.