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Open AccessArticle

Assessing the Intensity of the Population Affected by a Complex Natural Disaster Using Social Media Data

1,2,3,4, 1,2,3,4, 1,2,3,4, 1,2,3,4 and 1,2,3,4,*
1
Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China
2
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
3
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
4
Center for Geodata and Analysis, Beijing Normal University, Beijing 100875, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(8), 358; https://doi.org/10.3390/ijgi8080358
Received: 28 June 2019 / Revised: 7 August 2019 / Accepted: 11 August 2019 / Published: 13 August 2019
(This article belongs to the Special Issue Geographic Complexity: Concepts, Theories, and Practices)
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PDF [23869 KB, uploaded 13 August 2019]
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Abstract

Complex natural disasters often cause people to suffer hardships, and they can cause a large number of casualties. A population that has been affected by a natural disaster is at high risk and desperately in need of help. Even with the timely assessment and knowledge of the degree that natural disasters affect populations, challenges arise during emergency response in the aftermath of a natural disaster. This paper proposes an approach to assessing the near-real-time intensity of the affected population using social media data. Because of its fatal impact on the Philippines, Typhoon Haiyan was selected as a case study. The results show that the normalized affected population index (NAPI) has a significant ability to indicate the affected population intensity. With the geographic information of disasters, more accurate and relevant disaster relief information can be extracted from social media data. The method proposed in this paper will benefit disaster relief operations and decision-making, which can be executed in a timely manner. View Full-Text
Keywords: social media; natural disasters; emergency response; affected people intensity social media; natural disasters; emergency response; affected people intensity
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Cheng, C.; Zhang, T.; Su, K.; Gao, P.; Shen, S. Assessing the Intensity of the Population Affected by a Complex Natural Disaster Using Social Media Data. ISPRS Int. J. Geo-Inf. 2019, 8, 358.

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