How longtime residents use visual media cues to determine evacuation actions before hurricanes

Q2 Social Sciences
Cory L. Armstrong, Jue Hou, Nathan A. Towery
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引用次数: 0

Abstract

Abstract This study sought to measure risk perception and behavioral intention in rural and urban communities in Mississippi and Alabama when severe weather strikes. We developed an experiment testing how visual cues and media messages surrounding an impending hurricane could influence an individual's decision-making in the situation. Respondents were selected from six counties on Mississippi and Alabama coastlines and placed into one of three conditions, each of which described a hypothetical “Hurricane Farrah,” which was near landfall nearby. Data were collected on 466 respondents and analysis determined that the live video was least likely to motivate respondents to take evacuation measures.
长期居民在飓风来临前如何使用视觉媒体线索来决定疏散行动
摘要:本研究旨在测量密西西比州和阿拉巴马州农村和城市社区在恶劣天气袭击时的风险感知和行为意愿。我们开发了一个实验,测试围绕即将来临的飓风的视觉线索和媒体信息如何影响个人在这种情况下的决策。受访者是从密西西比州和阿拉巴马州海岸线上的六个县中挑选出来的,并被置于三种情况中的一种,每一种情况都描述了一个假想的“法拉飓风”,该飓风即将在附近登陆。收集了466名受访者的数据,分析确定,直播视频最不可能激励受访者采取疏散措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
15
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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