Determining factors affecting flood risk perception among local communities in Iran

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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Publication Details

Journal
Scientific Reports
Published
2025-02-03
DOI
https://doi.org/10.1038/s41598-025-88673-2
Citations
19
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
21.00

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article

Determining factors affecting flood risk perception among local communities in Iran

Moslem Savari, Abbas Sheheytavi, Ahmad Jonidi Jafari
19 citations
Scientific Reports
Flood Risk Assessment and Management
21.00
article

Determining factors affecting flood risk perception among local communities in Iran

Moslem Savari, Abbas Sheheytavi, Ahmad Jonidi Jafari
article en
19 citations

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.

Scientific ReportsVol. 15(1)
Sari Agricultural Sciences and Natural Resources University (IR), Ramin Agriculture and Natural Resources University of Khouzestan (IR), Agricultural Sciences and Natural Resources University of Khuzestan
Agricultural Sciences and Natural Resources University of Khuzestan
Climate action
Openalex Percentile: Top 0%
Flood Risk Assessment and Management
21.00
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