Fang Jian published a paper in the INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION

Title: Assessing disaster impacts and response using social media data in China: A case study of 2016 Wuhan rainstorm


Authors: Fang, J (Fang, Jian); Hu, JM (Hu, Jiameng); Shi, XW (Shi, Xianwu); Zhao, L (Zhao, Lin)


Source: INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION Volume: 34 Pages: 275-282 

DOI: 10.1016/j.ijdrr.2018.11.027 published: MAR 2019  


Abstract: Social media, with its ability to record human activities, has gained increasing attention from various fields. In this study, we developed a framework to assess disaster impacts with social media data, and examined the potential of information extraction with social media messages from Weibo platform to inform disaster response and recovery in China, using the case of 2016 Wuhan rainstorm and flood disaster. Temporal evolution of social media activities was investigated to track the process of the disaster, and further compared with observed precipitation data. Moreover, major impacts of the disaster were assessed through word frequency analysis of impact-related topics. Finally, place-related information were extracted to map the hotspots of the disaster. The results indicate that temporal variation of social media activities was consistent with the rainstorm process and significant positive correlation was found between social media activities and precipitation intensity. Word frequency analysis of impact-related topics revealed that transportation and daily life were most affected, meanwhile impacts on people's emotion and psychological activities were also notable. For hot spots affected by the disaster, more flooded sites were found in central urban districts, which are generally residential/industrial area or roads and other traffic-related places. This study demonstrated the utility of social media for disaster assessment, however ensuring the accuracy of online information and expanding the application for all phases of disaster management still pose substantial challenges for future research.


Document Type: Article


Language: English


Authors’ key words: Social media; Disaster assessment; Information extraction; Rainstorm and flood; China

Addresses of reprint authors:

[Zhao, L] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China


E-mail:  fj20061028@126.com


Addresses:

[Fang, Jian; Hu, Jiameng; Zhao, Lin] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

[Shi, Xianwu] Natl Marine Hazard Mitigat Serv, Beijing 100194, Peoples R China


Impact factor1.968