Differences in disaster warning and community engagement between families with and without members suffering from chronic Diseases: The mediating role of satisfaction with warning service
Ruifang Hou , Panpan Lian , Ziqiang Han , Aihua Yan
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引用次数: 0
Abstract
Early warning systems in disasters are crucial for life preservation and loss mitigation, endorsed globally by various UN agencies, governments, and disaster researchers. However, the social aspects pose significant challenges to the success of early warning. Using survey data from Sanya, a coastal city in China, our study explores the relationship between early warning services and community engagement. The primary warning channels are social media (SMS and WeChat), the Internet, and TV. These mediums, along with traditional and mass media, foster higher community engagement, like volunteer service and disaster risk reduction efforts. Satisfaction with warning service mediates these connections. Interestingly, families with chronic disease members are more likely to engage in community activities and utilize the Internet and social media for warnings. Notably, different patterns emerge when comparing families with and without chronic disease members, especially regarding Internet and social media usage. This study enhances our understanding of public adaptation to disaster warnings and provides insight for early warning services in the face of increasing climate change impacts and meteorological disasters.
期刊介绍:
Climate Risk Management publishes original scientific contributions, state-of-the-art reviews and reports of practical experience on the use of knowledge and information regarding the consequences of climate variability and climate change in decision and policy making on climate change responses from the near- to long-term.
The concept of climate risk management refers to activities and methods that are used by individuals, organizations, and institutions to facilitate climate-resilient decision-making. Its objective is to promote sustainable development by maximizing the beneficial impacts of climate change responses and minimizing negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.