Public behavior response analysis in disaster events utilizing visual analytics of microblog data
Public behavior response analysis in disaster events utilizing visual analytics of microblog data
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DOI：
10.1016/j.cag.2013.10.008
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发表时间：
2014-02-01
影响因子：
2.5
通讯作者：
Ebert, David S.
中科院分区：
文献类型：
--
作者：
Chae, Junghoon;Thom, Dennis;Ebert, David S.
公众行为分析在危机管理、灾害响应和疏散规划中起着重要作用。不幸的是，收集相关数据可能成本高昂，而且寻找有意义的信息进行分析也具有挑战性。越来越多的基于位置的社交网络服务提供了带有时间戳的地理位置数据，为各种挑战提供了新的机遇和解决方案。这种时空数据在提高对当地事件的情况了解和改进规划和调查方面具有很大的潜力。然而，大量的非结构化社交媒体数据阻碍了探索和检查。为了分析这些社交媒体数据，我们的系统为分析人员提供了一个交互式的可视化时空分析和空间决策支持环境，有助于疏散规划和灾害管理。我们展示了如何通过分析从社交媒体提取的公众行为反应之前，期间和之后的自然灾害，如飓风和龙卷风，以改善调查。(C)2013爱思唯尔有限公司保留所有权利。
Analysis of public behavior plays an important role in crisis management, disaster response, and evacuation planning. Unfortunately, collecting relevant data can be costly and finding meaningful information for analysis is challenging. A growing number of Location-based Social Network services provides time-stamped, geo-located data that opens new opportunities and solutions to a wide range of challenges. Such spatiotemporal data has substantial potential to increase situational awareness of local events and improve both planning and investigation. However, the large volume of unstructured social media data hinders exploration and examination. To analyze such social media data, our system provides the analysts with an interactive visual spatiotemporal analysis and spatial decision support environment that assists in evacuation planning and disaster management. We demonstrate how to improve investigation by analyzing the extracted public behavior responses from social media before, during and after natural disasters, such as hurricanes and tornadoes. (C) 2013 Elsevier Ltd. All rights reserved.