A Novel Integrated Model under Fuzzy Environments as Support for Determining the Behavior of Pedestrians at Unsignalized Pedestrian Crossings

Pedestrians as a vulnerable category of traffic participants demand special attention, particularly regarding their behavior at unsignalized pedestrian crossings. Unquestionably, when crossing road these types crossings, there is potential risk, for both the pedestrians and other participants, well. Accordingly, this article shows research on pedestrians’ intersections, conducted four locations in urban environment Novi Sad. The main goals study are reflected developing multiphase model by integrating different approaches into one original unique model. First, efficiency observed crossings was determined applying consisting DEA (Data Envelopment Analysis), fuzzy DEA, entropy, CRITIC (CRiteria Importance Through Intercriteria Correlation), FUCOM (Full Consistency Method), PIPRECIA (PIvot Pairwise RElative Import Criteria Assessment), MARCOS (Measurement alternatives ranking according to COmpromise solution). Then, following aim determine values critical interval then compare with accepted interval, which can be considered criteria safe roadway. Apart from this, related determining characteristics reference gender differences, well fact whether crosses roadway an individual or within group. After empirical data classification, calculation, extensive statistical verification analysis set goals. results imply that relationship intervals indicates occurrence risky certain number pedestrians, accepting not completely negatively affect sustainable functioning system.