TY - JOUR
T1 - Mobile phone location data for disasters
T2 - A review from natural hazards and epidemics
AU - Yabe, Takahiro
AU - Jones, Nicholas K.W.
AU - Rao, P. Suresh C.
AU - Gonzalez, Marta C.
AU - Ukkusuri, Satish V.
N1 - Publisher Copyright:
© 2022
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - Data for development
KW - Disaster risk management
KW - Epidemics
KW - Mobile phone location data
KW - Natural Hazards
UR - http://www.scopus.com/inward/record.url?scp=85125242281&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125242281&partnerID=8YFLogxK
U2 - 10.1016/j.compenvurbsys.2022.101777
DO - 10.1016/j.compenvurbsys.2022.101777
M3 - Review article
AN - SCOPUS:85125242281
SN - 0198-9715
VL - 94
JO - Computers, Environment and Urban Systems
JF - Computers, Environment and Urban Systems
M1 - 101777
ER -