TY - JOUR
T1 - Assessing wild fire risk in the United States using social media data
AU - Yue, Yaojie
AU - Dong, Kecui
AU - Zhao, Xiangwei
AU - Ye, Xinyue
N1 - Funding Information:
This work was supported by the National Key Research and Development Program (No. 2016YFA0602402), the National Natural Science Foundation of China (No. 41271515), the National Basic Research Program of China (No. 2012CB955403), and the National Science Foundation of the USA (No. 1416509, 1637242, and 1739491).
Publisher Copyright:
© 2019 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - Massive Geo-tagged social media data provide new opportunities for disaster risk assessment, prevention, and management. This article presents a proof of concept for assessing wildfire risk using Geo-tagged social media data, by taking wildfire risk as a function of wildfire hazard and social–ecological vulnerability. The case study of the United States shows that the regions with the highest wildfire hazard are concentrated in the Western, while the most vulnerable areas are mainly distributed in the Eastern, the Western Coast, and the Southern parts of the nation. Areas with high wildfire risk are mainly located in the Northwestern and Southeastern United States. It shows that the wildfire risk level has significant linear relationship with population density. Massive and vulnerable population might result in significant increase in wildfire risk perception. We conclude that Geo-tagged social media data have great potential in disaster risk studies.
AB - Massive Geo-tagged social media data provide new opportunities for disaster risk assessment, prevention, and management. This article presents a proof of concept for assessing wildfire risk using Geo-tagged social media data, by taking wildfire risk as a function of wildfire hazard and social–ecological vulnerability. The case study of the United States shows that the regions with the highest wildfire hazard are concentrated in the Western, while the most vulnerable areas are mainly distributed in the Eastern, the Western Coast, and the Southern parts of the nation. Areas with high wildfire risk are mainly located in the Northwestern and Southeastern United States. It shows that the wildfire risk level has significant linear relationship with population density. Massive and vulnerable population might result in significant increase in wildfire risk perception. We conclude that Geo-tagged social media data have great potential in disaster risk studies.
KW - Disaster risk
KW - Twitter
KW - social–ecological system vulnerability
KW - wildfire
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U2 - 10.1080/13669877.2019.1569098
DO - 10.1080/13669877.2019.1569098
M3 - Article
AN - SCOPUS:85068926223
SN - 1366-9877
VL - 24
SP - 972
EP - 986
JO - Journal of Risk Research
JF - Journal of Risk Research
IS - 8
ER -