Space, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data
Space, time, and situational awareness in natural hazards: a case study of Hurricane Sandy with social media data
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DOI：
10.1080/15230406.2018.1483740
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发表时间：
2018-06
影响因子：
2.5
通讯作者：
Zheye Wang;X. Ye
中科院分区：
文献类型：
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作者：
Zheye Wang;X. Ye
人们已经开发了各种方法来研究灾害相关社交媒体数据中的地理空间信息、时间成分和消息内容，以丰富以人为中心的信息，促进态势感知。然而，很少有研究同时分析这三个维度（即空间、时间和内容）。为了将时空视角引入态势感知，本研究开发了一种新颖的方法来整合社交媒体数据中的空间、时间和内容维度，从而能够对自然灾害的详细社会反应进行时空分析。使用马尔可夫转移概率矩阵和位置商，我们分析了纽约市飓风桑迪的推文，并探讨了人们的对话主题如何随着时间和空间的变化而变化。我们的方法有可能促进有效的政策/决策和快速反应，以减轻自然灾害造成的损害。
ABSTRACT Various methods have been developed to investigate the geospatial information, temporal component, and message content in disaster-related social media data to enrich human-centric information for situational awareness. However, few studies have simultaneously analyzed these three dimensions (i.e. space, time, and content). With an attempt to bring a space–time perspective into situational awareness, this study develops a novel approach to integrate space, time, and content dimensions in social media data and enable a space–time analysis of detailed social responses to a natural disaster. Using Markov transition probability matrix and location quotient, we analyzed the Hurricane Sandy tweets in New York City and explored how people’s conversational topics changed across space and over time. Our approach offers potential to facilitate efficient policy/decision-making and rapid response in mitigations of damages caused by natural disasters.