Enhancing Public Response to Meteorological Disaster Warnings: A Perspective from the IDEA Model
Abstract Early warning systems serve as a critical component in the emergency management of meteorological disasters, offering vital lead time for both the public and relevant agencies to implement preventive measures through the timely dissemination of early warning information. However, recent years have witnessed frequent instances where early warnings fail to elicit appropriate risk response behaviors, leading to missed opportunities for disaster mitigation and tragic outcomes. To enhance public comprehension of early warning information and promote proactive behaviors, this study employed a quasi-experimental questionnaire design to examine the effects of varying information content and presentation forms on public risk perception and protective behavioral intentions based on the classic IDEA (internalization, distribution, explanation, and action) model. The results indicate that, for textual warnings, messages incorporating “internalization” and “action” elements significantly improve risk perception and protective behavioral intentions compared to those containing only “explanation” elements. In contrast, video-based warnings featuring “explanation” elements enhance risk perception, whereas images or videos emphasizing “internalization” or “action” elements exhibit either negligible or even adverse effects on public risk perception and behavioral intentions. This study validated and extended the applicability and theoretical foundations of the IDEA model in non-textual contexts, offering insights for the advancement of disaster warning theory. Furthermore, the article provides policy-relevant recommendations for optimizing meteorological disaster warning strategies, ultimately contributing to the enhancement of societal disaster resilience and emergency response capabilities.
Authors
- Z G Zhu (ORCID: https://orcid.org/0000-0002-6229-5567)
- Anying Chen (ORCID: https://orcid.org/0000-0003-4755-5823)
- J Liu
- Jun Hu
Institutions
- Jinan University (CN)
- Beijing Normal University (CN)
Publication Details
- Journal
- International Journal of Disaster Risk Science
- Published
- 2026-05-21
- DOI
- https://doi.org/10.1007/s13753-026-00724-y
- Primary Topic
- Disaster Management and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- Basic and Applied Basic Research Foundation of Guangdong Province