Determining factors affecting flood risk perception among local communities in Iran
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-88673-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 2045-2322 |