Mobile phone location data for disasters: A review from natural hazards and epidemics

被引：0

作者：

Yabe, Takahiro ^{[1
,2
]}

Jones, Nicholas K.W. ^{[3
]}

Rao, P. Suresh C. ^{[1
,4
]}

Gonzalez, Marta C. ^{[5
,6
]}

Ukkusuri, Satish V. ^{[1
]}

机构：

[1] Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Avenue, West Lafayette,IN,47907, United States

[2] Institute for Data, Systems, and Society, Massachusetts Institute of Technology, 50 Ames St, Cambridge,MA,02142, United States

[3] Global Facility for Disaster Reduction and Recovery, The World Bank, 1818 H Street, N.W. Washington, DC,20433, United States

[4] Department of Agronomy, Purdue University, 550 Stadium Mall Avenue, West Lafayette,IN,47907, United States

[5] Department of Civil and Environmental Engineering, UC Berkeley, 760 Davis Hall, University of California, Berkeley,CA,94720, United States

[6] Department of City and Regional Planning, UC Berkeley, 228 Bauer Wurster Hall, Berkeley,CA,94720, United States

来源：

Computers, Environment and Urban Systems | 2022年 / 94卷

基金：

美国国家科学基金会;

关键词：

Disaster prevention - Cellular telephones - Recovery - Disasters - Location - Climate change - Hazards - Epidemiology;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Rapid urbanization and climate change trends, intertwined with complex interactions of various social, economic, and political factors, have resulted in an increase in the frequency and intensity of disaster events. While regions around the world face urgent demands to prepare for, respond to, and to recover from such disasters, large-scale location data collected from mobile phone devices have opened up novel approaches to tackle these challenges. Mobile phone location data have enabled us to observe, estimate, and model human mobility dynamics at an unprecedented spatio-temporal granularity and scale. The COVID-19 pandemic, in particular, has spurred the use of mobile phone location data for pandemic and disaster management. However, there is a lack of a comprehensive review that synthesizes the last decade of work and case studies leveraging mobile phone location data for response to and recovery from natural hazards and epidemics. We address this gap by summarizing the existing work, and point to promising areas and future challenges for using mobile phone location data to support disaster response and recovery. © 2022

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