极客们是如何应对一个高科技国家的灾难性灾难的:2011年3月东日本大地震后反灾害系统的快速发展

SWID '11 Pub Date : 2011-12-06 DOI:10.1145/2079360.2079369
Arifumi Utani, Teruhiro Mizumoto, T. Okumura
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引用次数: 35

摘要

2011年3月11日,一场毁灭性的地震袭击了日本。该地区历史上频繁发生强烈地震,特别是1995年阪神-淡路大地震,促使该国制定了救灾方法,为此类自然灾害做好准备。然而,由于福岛第一核电站事故,地震和随之而来的海啸摧毁了大部分沿海地区,并引起了恐慌。在这种情况下,一些危机管理系统按预期运行。然而,其他系统的糟糕性能要求系统开发人员在运行中实现新的和改进的反灾害系统。这些系统包括全国难民定位器、救济物资匹配系统、都市地区计划停电的规划应用程序、实时监测公共交通系统的twitter-mining系统等。灾难发生后,我们对这些系统进行了全面的调查,以记录高科技国家的极客如何应对这样的国家危机。对产生的反灾害应用程序列表的分析使我们对未来的灾害有了有用的见解:i)建议当局尽快披露统计信息,ii)必须提供开发人员之间的协调,以及iii)数据库的互连对于效率至关重要。
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How geeks responded to a catastrophic disaster of a high-tech country: rapid development of counter-disaster systems for the great east Japan earthquake of March 2011
A devastating earthquake hit Japan on March 11, 2011. A history of frequent and powerful earthquakes in the region, especially the great Hanshin-Awaji earthquake of 1995, led the country to develop disaster relief methods in preparation for such natural disasters. Nevertheless, the earthquake and following tsunami destroyed much of the coastland, and caused panic, due to the Fukushima-daiichi nuclear power plant accidents. During this situation, some of the crisis-management systems performed as expected. However, the poor performance of the others required system developers to implement new and improved counter-disaster systems on the fly. Such systems include the nationwide refugee locator, relief supply matching system, planning applications for scheduled power outages in the metropolitan area, twitter-mining systems for realtime monitoring of public transportation systems, etc. After the disaster, we conducted a comprehensive survey of such systems, in order to record how geeks in the high-tech country responded to such a national crisis. The analysis of the resulting list of counter-disaster applications gave us useful insight for future disasters: i) authorities are advised to disclose statistical information as quickly as possible, ii) coordination among developers must be provided, and iii) interconnection of databases is essential for efficiency.
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