Abstract
Information from social media microblogging has been applied to management of emergency situations following disasters. In particular, such blogs contain much information about the public perception of disasters. However, the effective collection and use of disaster information from microblogs still presents a significant challenge. In this paper, a spatial distribution detection method is established using emergency information based on the urgency degree grading of microblogs and spatial autocorrelation analysis. Moreover, a character-level convolutional neural network classifier is applied for microblog classification in order to mine the spatio-temporal change process of emergency rescue information. The results from the Jiuzhaigou (Sichuan, China) earthquake case study demonstrate that different emergency information types exhibit different time variation characteristics. Moreover, spatial autocorrelation analysis based on the degree of text urgency can exclude uneven spatial distribution influences of the number of microblog users, and accurately determine the level of urgency of the situation. In addition, the classification and spatio-temporal analysis methods combined in this study can effectively mine the required emergency information, allowing us to understand emergency information spatio-temporal changes. Our study can be used as a reference for microblog information applications within the field of emergency rescue activity.
Funder
National Key Research and Development Program of China
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Reference34 articles.
1. Research on the application of mobile phone location signal data in earthquake emergency work: A case study of Jiuzhaigou earthquake
2. Social Sensing: A New Approach to Understanding Our Socioeconomic Environments;Yu;Ann. Assoc. Am. Geogr.,2015
3. Risk analysis and visualization for detecting signs of flood disaster in Twitter
4. Analysis on Macroscopic Anomalies before and after Lushan MS7.0 Earthquake based on Weibo;Xiaohui;Technol. Earthq. Disaster Prev.,2013
Cited by
11 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献