Document Type : Original Article
Authors
- Leila kouchakinejad-Eramsadati 1
- Ali Asgary 2
- Enayatollah Homaie Rad 3
- Jon Mark Hirshon 4
- Abbas Ostadtaghizadeh 1
1 Department of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2 School of Administrative Studies, Faculty of Liberal Arts & Professional Studies, York University, Toronto, Canada
3 Social Determinants of Health Research Center, Trauma Institute, Guilan University of Medical Sciences, Rasht, Iran.
4 Departments of Emergency Medicine and of Epidemiology and Public Health, University of Maryland School of Medicine, USA
Abstract
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.
Keywords
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