Evaluation of Pedestrian Crossings Based on the Concept of Pedestrian Behavior Regarding Start-Up Time: Integrated Fuzzy MCDM Model

Planning, designing, defining relevant parameters, and managing traffic represent essential characteristics of its sustainability and safety. However, one of th key characteristics that traffic planners and managers cannot always influence are the characteristics of vehicle and pedestrian traffic flows. Namely, pedestrian behavio as well as driver behavior, depend on numerous factors, which are influenced by the characteristics of the road, the environment, and socio-economic characteristics Pedestrians are the most heterogeneous group of traffic participants for whom there are no specific restrictions or conditions, as is the case for drivers. In complex traffi conditions and high traffic loads, the behavior of pedestrians can affect traffic conditions, that is, the level of service. The most complex traffic conditions for pedestrian occur at surface intersections where a limited traffic area - pedestrian crossing, is used by both vehicles and pedestrians, in accordance with traffic regulation and gener traffic rules. This paper defines the goal of determining the concept of pedestrian behavior at pedestrian crossings in different cities based on start-up time classified b gender and age groups. Intersections with counters showing pedestrian phase times and those without counters were specifically considered. A novel integrated fuzz MCDM (Multi-criteria decision-making) model was created to evaluate and rank cities based on start-up time. Fuzzy FUCOM (Full Consistency Method) was used to determin the weights of criteria, while Fuzzy ROV (Range of Value) was used to evaluate and rank cities. Different models were created on a sample of ten thousand pedestrians segmented by gender and age, for which different results were obtained through analysis. In order to verify the results, sensitivity analysis, comparative analysis, an calculated statistical correlation tests were presented. The results presented are reflected in the following. Female pedestrians in Novi Sad show a higher level o concentration and carefully observe the moment when the pedestrian signal turns green when there is no counter. Doboj represents the city with the best start-up time fo pedestrian crossings with counters, while Sarajevo holds that position for crossings without counters. It is important to point out that the sample of female pedestrians show exceptional results on the same type of pedestrian crossings, as the start-up time is around one second.