Leila kouchakinejad-Eramsadati; Ali Asgary; Enayatollah Homaie Rad; Jon Mark Hirshon; Abbas Ostadtaghizadeh
Volume 13, Issue 3 , July 2025, , Pages 165-176
Abstract
Objectives: This study aimed to explore experts’ perspectives on the factors influencing pedestrian trafficcollisions in Iran.Methods: This qualitative study was conducted using conventional content analysis with an inductive approachfrom September 2023 to March 2024. Twenty-six experts were purposefully ...
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Objectives: This study aimed to explore experts’ perspectives on the factors influencing pedestrian trafficcollisions in Iran.Methods: This qualitative study was conducted using conventional content analysis with an inductive approachfrom September 2023 to March 2024. Twenty-six experts were purposefully selected from across Iran. Datawere collected through individual face-to-face interviews, guided by a semi-structured interview, developedby a panel of experts and contained open-ended questions. Data analysis was performed manually using theGraneheim and Lundman approach (2004). To ensure trustworthiness, four strategies proposed by Lincoln andGuba were employed.Results: The results revealed two main categories: direct factors and underlying factors, comprising ninesubcategories. Direct factors included five subcategories: driver, pedestrian, roads and streets, vehicle, andgeographic 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 anddrivers in depth. Additionally, systematic reviews should examine strategies employed by developing andsuccessful countries to prevent or reduce pedestrian collisions.
Nima Faghirpour; Enayatollah Homaie Rad; Leila Kouchakinejad; Zahra Mohtasham Amiri
Volume 13, Issue 2 , April 2025, , Pages 90-97
Abstract
Objective: The study aimed to explore experts’ perspectives on the factors contributing to accidents involving the elderly in Guilan, Iran.
Methods: This qualitative study employed conventional content analysis with an inductive approach in 2024. Fourteen experts from Guilan (Iran) were purposefully ...
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Objective: The study aimed to explore experts’ perspectives on the factors contributing to accidents involving the elderly in Guilan, Iran.
Methods: This qualitative study employed conventional content analysis with an inductive approach in 2024. Fourteen experts from Guilan (Iran) were purposefully selected. Data were collected through individual face-to-face interviews using a semi-structured interview guide containing open-ended questions, which was developed through an expert panel discussion. All stages of data analysis were performed manually following the Graneheim and Lundman’s approach.
Results: Three main categories, 10 subcategories, and 29 key codes were identified. The “Individual Factors” category had six subcategories: physical abilities, psychological factors, traffic literacy, cultural attitudes, and Individual needs. The “Environmental Factors” had two subcategories: road and traffic infrastructure, and weather conditions. The “Policy-making” category consisted of three sub-categories: transportation safety, healthcare system, and public education.
Conclusion: To reduce damages from elderly-related accidents, preventive measures should focus on improving health services, enhancing traffic education, and addressing specific behavioral and cultural factors. Additionally, enhancing infrastructure, designing age-appropriate vehicles, and implementing targeted policies could significantly mitigate accident risks among this population.
