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Mobile phone location data for disasters: A review from natural hazards and epidemics
Abstract 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.
Highlights Use of large-scale mobility data collected from mobile phones in disaster applications have increased during the COVID-19 pandemic. We lack a comprehensive review that synthesizes the work leveraging mobile phone location data and case studies of natural hazards and epidemics. We summarize the existing work on the usage of mobile phone location data for disaster response and recovery from an interdisciplinary body of literature. We point to promising areas and future challenges for using data to support disaster response and recovery.
Mobile phone location data for disasters: A review from natural hazards and epidemics
Abstract 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.
Highlights Use of large-scale mobility data collected from mobile phones in disaster applications have increased during the COVID-19 pandemic. We lack a comprehensive review that synthesizes the work leveraging mobile phone location data and case studies of natural hazards and epidemics. We summarize the existing work on the usage of mobile phone location data for disaster response and recovery from an interdisciplinary body of literature. We point to promising areas and future challenges for using data to support disaster response and recovery.
Mobile phone location data for disasters: A review from natural hazards and epidemics
Yabe, Takahiro (Autor:in) / Jones, Nicholas K.W. (Autor:in) / Rao, P. Suresh C. (Autor:in) / Gonzalez, Marta C. (Autor:in) / Ukkusuri, Satish V. (Autor:in)
18.02.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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