Aggregation of different variables into one road safety performance index is a popular concept in evaluating road safety and comparing the performance of territories/entities. This paper presents the development of a novel and innovative weighting methodology using grey relational analysis. Based on the proposed model, ten hierarchical road safety indicators were selected in terms of a two-layered model with three categories related to behaviour, safety and system. Grey weights are assigned to the categorized indicators in each layer, and the grey road safety composite indicator for each entity (21 selected territories) is calculated by the weighted sum approach. With relatively high weights, this systematic methodology can serve the policy makers in targeting the risk domains where improvements are needed. The results clearly illustrate effectiveness in addressing a large number of indicators with hierarchical structures.
The large number of road fatalities and injured represents a serious and challenging global problem. Road users’ personalities, attitudes and behaviour can influence how individuals, especially youngsters, react to a particular driving situation. Young drivers are among the riskiest road users, particularly during the first few months of independent driving. Although they represent only a small percentage of licensed drivers, they are more likely to be involved in traffic accidents with fatalities and injuries than the more experienced ones. The main goal of this paper is to identify differences in perception and behaviour of youngsters compared to other drivers in Montenegro.
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