Evaluating pedestrian behavior factors related to road safety using analytic hierarchy process and Kendall’s correlation in a fuzzy environment

• Evaluating Pedestrian Behavior Factors Related to Road Safety in Budapest city. • First application of AHP and Kendall’s Correlation in a Fuzzy Environment to estimate Pedestrian Behavior. • The adopted model can be a suitable tool to avoid pedestrian hesitancy. • The results offer actionable insights for policymakers, transportation engineers, and urban planners aiming to enhance pedestrian safety. Road safety is a function of multiple factors that affect roads, and these factors compromise road safety. To Evaluate the Pedestrian Behavior Criteria related to road safety, the Analytic Hierarchy Process (AHP) approach with Triangular Fuzzy Sets (TFS) was used in this study to analyze the holistic model. In this study, pedestrian behavior criteria were studied using an analytical hierarchy process and Kendall’s correlation in a fuzzy environment. In this study, factors causing pedestrian behavior are weighted with triangular fuzzy numbers for pairwise comparisons (PCs). These weighted and fuzzy linguistic variables were used to evaluate these factors according to the work system. For level 1, the results showed that ‘psychological’ was the most significant factor affecting pedestrian safety for older and younger pedestrian groups. For Level 2, the results showed that ’Hurried” was the most significant factor affecting pedestrian safety for both groups. Kendall’s correlation test was conducted to check for similarity between the old and young groups. The results showed a high degree of similarity between the two groups for the main factors compared to the sub-factors. This study will help to identify the most significant criteria for pedestrian behavior for road safety.