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概率和影响信息对公众对恶劣天气预警的反应的影响
Andrea Taylor1,2, Barbara Summers1, Samuel Domingos3,4
1Centre for Decision Research, Leeds University Business School, University of Leeds, Leeds, UK.
Risk analysis : an official publication of the Society for Risk Analysis
|September 24, 2023
概括
传达天气预警的概率和冲击严重程度会影响公众的看法. 将这些信息与恶劣天气预警相结合,特别是珀色预警,会影响信任和保护行动的意图.
科学领域:
- 气象学 天气学
- 风险沟通 风险沟通
- 人与计算机的交互
背景情况:
- 天气服务正在从基于值的天气预警转向基于风险的天气预警.
- 英国气象局使用基于可能性和影响的颜色编码警告 (黄色,珀色,红色).
- 当前的公众警告往往缺乏明确的概率信息.
研究的目的:
- 调查如何呈现概率和影响严重性信息会影响公众对天气预警的看法.
- 评估对概率,严重程度,关注,信任和保护行动意图的判断的影响.
主要方法:
- 这是一项混合因子在线实验,涉及550名英国居民.
- 参与者被分配到三个警告格式条件之一 (仅有颜色,文本,风险矩阵).
- 提出了三种类型的警告:珀色高概率/中等影响,珀色低概率/高影响,红色高概率/高影响.
主要成果:
- 红色的高概率/高影响警告在所有依赖变量中获得了最强的评级.
- 高概率/中等影响的珀警告被评为第二高的.
- 珀低概率/高影响警告导致感知概率,严重程度,关注度,信任度和保护性行动的意图最低.
结论:
- 英国居民对天气预警中的概率信息敏感,特别是珀色预警.
- 对严重事件的低概率进行沟通可以减少感知到的风险,信任和行为意图.
- 这些发现对于优化天气预警通信策略具有实际意义.
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