Journal
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Volume 35, Issue 11, Pages 2216-2237Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/13658816.2020.1869746
Keywords
Demand for relief supplies; social media; btm; nature disaster; twitter; emergency management
Categories
Funding
- National Natural Science Foundation of China [41771537]
- Fundamental Research Funds for the Central Universities [2019NTST01]
- National Key Research and Development Plan of China [2019YFA0606901]
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This study proposes a framework for identifying relief supplies demand based on social media data. By using demand and gazetteer dictionaries along with a topic model, accurate demand information and its distribution in disaster areas can be extracted efficiently, which can facilitate relief operations.
Natural disasters have caused substantial economic losses and numerous casualties. The demand analysis of relief supplies is the premise and basis for efficient relief operations after disasters. With the widespread use of social media, it has become a vital channel for people to report their demand for relief supplies and provides a way to obtain information on disaster areas. Therefore, we present a topic model-based framework and establish a demand dictionary and a gazetteer that aims to identify the spatial distribution of the demand for relief supplies by using social media data. Taking the 2013 Typhoon Haiyan (also called Yolanda) as a case study, we identify the potential topics of tweets with the biterm topic model, screen the tweets related to demands, and obtain the demand and location information from tweets to study the distribution of the relief supplies needs. The results show that, based on the demand dictionary, a gazetteer and the biterm topic model, the effective demand for relief supplies can be extracted from tweets. The proposed framework is feasible for the identification of accurate demand information and its distribution. Further, this framework can be applied to other types of disaster responses and can facilitate relief operations.
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