factors influencing pedestrian traffic collision in iran: a qualitativecontent analysis

Objectives: this study aimed to explore experts’ perspectives on the factors influencing pedestrian traffic collisions in iran. methods: this qualitative study was conducted using conventional content analysis with an inductive approach from september 2023 to march 2024. twenty-six experts were purposefully selected from across iran. data were collected through individual face-to-face interviews, guided by a semi-structured interview, developed by a panel of experts and contained open-ended questions. data analysis was performed manually using the graneheim and lundman approach (2004). to ensure trustworthiness, four strategies proposed by lincoln and guba were employed. results: the results revealed two main categories: direct factors and underlying factors, comprising nine subcategories. direct factors included five subcategories: driver, pedestrian, roads and streets, vehicle, and geographic factors. underlying factors included four subcategories: governance factors, social determinants, cultural conditions, and economic status. conclusion: the study identified key risk factors associated with pedestrian collisions according to experts’ experiences. we recommend further qualitative studies to explore high-risk behaviors among pedestrians and drivers in depth. additionally, systematic reviews should examine strategies employed by developing and successful countries to prevent or reduce pedestrian collisions.