Exploring factors affecting disaster risk perception in ethnic minority: A case study in Garo community, Bangladesh
This study examines disaster risk perception among the Garo community in Netrokona district, Bangladesh, focusing on socioeconomic and environmental factors. Conducted in three unions- Rangchati, Lengura, and Kullagora- the research surveyed 365 households. Data were collected in October 2024 using...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Progress in Disaster Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590061725000213 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This study examines disaster risk perception among the Garo community in Netrokona district, Bangladesh, focusing on socioeconomic and environmental factors. Conducted in three unions- Rangchati, Lengura, and Kullagora- the research surveyed 365 households. Data were collected in October 2024 using a structured questionnaire, and statistical analysis was conducted using the ‘R' program. Ordinal logistic regression models identified key factors associated with disaster risk ratings. Findings reveal that 44 % of respondents perceive their area as a “High” disaster risk zone, associated with economic vulnerabilities (73.97 % earn less than 15,000 BDT/month) and limited access to education. Over 63 % have experienced forced displacement, and 70.68 % reported home inundation, exacerbated by environmental degradation like deforestation and groundwater depletion. Community factors, such as local governance and infrastructure, also shaped disaster risk perceptions, with residents of Lengura and Rangchati reporting lower risk perceptions. Occupation, income, and previous disaster experiences, including displacement, were strongly associated with heightened risk awareness. Households with elevated homes or strong social support networks had better preparedness, while 80.27 % lacked access to early warning systems. The study highlights the need for tailored disaster management strategies that integrate local knowledge and enhance community resilience. |
|---|---|
| ISSN: | 2590-0617 |