ArticleScientific reports2025
Determining factors affecting flood risk perception among local communities in Iran.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A retrospective study to understand the impact of flooding on natural selection and physical growth dynamics.Scientific reports · 2025Article
- Analysis of psychological and social factors affecting climate change adaptation and mitigation behaviors among Iranian rice farmers.Scientific reports · 2025Article
- Application of construal level theory in identifying factors affecting individual decision-making in implementing flood protection measures in rural areas of Iran.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although climatic and environmental factors primarily determine the intensity of flood events, their impacts on residents are significantly influenced by human-related elements. Since the most floods are highly variable and unpredictable, it is crucial to enhance the capacity and resilience of residents to withstand and coexist with these disasters. To increase the resilience and adaptability of rural households in the face of floods, it is essential to first address individuals' risk perception as a critical issue. This study was conducted with two primary. Objectives (1) to assess the current status of risk perception and (2) to identify the factors influencing flood risk perception (FRP) among local communities. The research population comprised all rural households in the Shushtar County (Southwest Iran) who had experienced at least one flood event. The primary research tool was a questionnaire, and data analysis was performed using SPSS software. Correlation coefficient results indicated significant relationships between age, frequency of flood occurrence, education, distance of water channels and rivers from properties, flood exposure, housing quality, risk information, flood coping information, and financial incentives for recovery with dimensions of risk perception, namely preparedness, worry, awareness, and experience. Additionally, hierarchical regression results demonstrated that these variables could explain 55.4% of the variance in FRP. Overall, the findings of this study can significantly assist policymakers in designing flood risk reduction programs and facilitating safer living conditions in flood-prone areas.
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