Determination of most affected areas by earthquakes based on mobile signaling data: a case study of the 2022 Mw 6.6 Luding earthquake, China

Determination of most affected areas by earthquakes based on mobile signaling data: a case study of the 2022 Mw 6.6 Luding earthquake, China

AbstractRapid determination of the most-affected areas after an earthquake can help with emergency relief efforts, which is also an essential part of postearthquake relief work. Mobile signaling data contains rich user information, which helps determine the most-affected areas. This study investigat...

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Bibliographic Details
Main Authors: Xinxin Guo, Benyong Wei, Guiwu Su, Wenhua Qi, Tengfei Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Mobile signaling
most-affected area
rapid assessment
earthquake
Luding
Online Access:https://www.tandfonline.com/doi/10.1080/19475705.2023.2221772

Internet

https://www.tandfonline.com/doi/10.1080/19475705.2023.2221772

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