期刊
SUSTAINABILITY
卷 8, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/su8010025
关键词
social media; Sina-Weibo; emergency information; timely; Beijing rainstorm
资金
- National Science Foundation [1416509]
- National Natural Science Foundation of China [41271399]
- China Special Fund for Surveying, Mapping and Geoinformation Research in the Public Interest [201512015]
- Specialized Research Fund for the Doctoral Program of Higher Education [20120141110036]
- Direct For Social, Behav & Economic Scie [1416509] Funding Source: National Science Foundation
With the proliferation of social media, information generated and disseminated from these outlets has become an important part of our everyday lives. For example, this type of information has great potential for effectively distributing political messages, hazard alerts, or messages of other social functions. In this work, we report a case study of the 2012 Beijing Rainstorm to investigate how emergency information was timely distributed using social media during emergency events. We present a classification and location model for social media text streams during emergency events. This model classifies social media text streams based on their topical contents. Integrated with a trend analysis, we show how Sina-Weibo fluctuated during emergency events. Using a spatial statistical analysis method, we found that the distribution patterns of Sina-Weibo were related to the emergency events but varied among different topics. This study helps us to better understand emergency events so that decision-makers can act on emergencies in a timely manner. In addition, this paper presents the tools, methods, and models developed in this study that can be used to work with text streams from social media in the context of disaster management and urban sustainability.
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