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An application of media and network multiplexity theory to the structure and perceptions of information environments in hurricane evacuation
Journal of the Association for Information Science and Technology ( IF 3.5 ) Pub Date : 2021-01-27 , DOI: 10.1002/asi.24456
Seungyoon Lee 1 , Bailey C. Benedict 1 , Yue ‘Gurt’ Ge 2 , Pamela Murray‐Tuite 3 , Satish V. Ukkusuri 4
Affiliation  

Understanding how information use contributes to uncertainties surrounding evacuation decisions is crucial during disasters. While literature increasingly establishes that people consult multiple information sources in disaster situations, little is known about the patterns in which multiple media and personal network sources are combined simultaneously and sequentially across decision-making phases. We address this gap using survey data collected from households in Jacksonville, Florida affected by 2016's Hurricane Matthew. Results direct attention to perceived consistency of information as a key predictor of uncertainty regarding hurricane impact and evacuation logistics. Frequently utilizing National Weather Service, national and local TV channels, and personal network contacts contributed to higher perceived consistency of information, while the use of other local and online sources was associated with lower perceived consistency. Furthermore, combining a larger number of media and official sources predicted higher levels of perceived information consistency. One's perception of information amount did not significantly explain uncertainty. This study contributes to the theorizing of individuals' information environment from the perspective of media and network multiplexity and provides practical implications regarding the need of information coordination for improved evacuation decision-making.

中文翻译:

媒体和网络复用理论在飓风疏散信息环境结构和感知中的应用

了解信息使用如何导致围绕疏散决策的不确定性在灾难期间至关重要。虽然文献越来越多地确定人们在灾难情况下会查阅多个信息源,但对于多个媒体和个人网络资源在决策阶段同时并依次组合的模式知之甚少。我们使用从佛罗里达州杰克逊维尔受 2016 年飓风马修影响的家庭收集的调查数据来弥补这一差距。结果直接关注信息的感知一致性,作为飓风影响和疏散物流不确定性的关键预测因素。经常利用国家气象局、国家和地方电视频道以及个人网络联系人有助于提高感知的信息一致性,而使用其他本地和在线资源与较低的感知一致性有关。此外,结合大量媒体和官方来源预测更高水平的感知信息一致性。一个人对信息量的感知并不能显着解释不确定性。本研究有助于从媒体和网络多重性的角度对个人信息环境进行理论化,并为改善疏散决策的信息协调需求提供实际意义。对信息量的感知并不能显着解释不确定性。本研究有助于从媒体和网络多重性的角度对个人信息环境进行理论化,并为改善疏散决策的信息协调需求提供实际意义。对信息量的感知并不能显着解释不确定性。本研究有助于从媒体和网络多重性的角度对个人信息环境进行理论化,并为改善疏散决策的信息协调需求提供实际意义。
更新日期:2021-01-27
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