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|TITLE||Measures to respond to disasters using mobile big data|
Measures to respond to disasters using mobile big data
To promptly respond to the outbreak of disasters, mobile big data can be instrumental in figuring out the scale and location of those who have to be rescued.
￭ Mobile big data produced by a telecom service provider are information on active population and are produced by the uses of mobile phones.
￭ They can be utilized for tackling disasters occurring in diverse space ranging from micro space to macro space
How to use mobile big data by disaster management phase
￭ (Preparedness phase) Mobile big data can be used for sending text messages for evacuation to residents in potential damage areas prior to the outbreak of a disaster or monitoring the state of resident evacuation. Besides, these data can provide a basis for laying out a plan for evacuation routes of facilities dense with population.
￭ (Response phase) They can be used as data for finding the location and scale of those suffering damages from a disaster and making a prompt decision on sending aid and rescue workers.
￭ (Recovery phase) They can provide a basis for conducting rescue activities for the buried people and determining the scale of support for evacuation facilities.
How to use mobile big data by disaster type
￭ (Natural disaster) For such predictable disasters as typhoons and floods, mobile big data can be applied to evacuation and rescue activities in the preparedness, response and recovery phases. For unpredictable disasters such as earthquakes and heavy rains, they can be used in the response and recovery phases.
￭ (Social disaster 1) For unpredictable terrors and the collapse of social infrastructure, they can be used to rescue lives and support recovery in the response and recovery phases. For contagious diseases, they can be applied to track major routes of propagation in the phase of response.
❶ Mobile big data can be applied to a broad spatial scope ranging from calamities including collapse of a large building to natural disasters such as typhoon.
❷ In particular, if a disaster takes place in city centers, major tourist attractions or large shopping smalls during daytime, rescue information beyond existing residents can be obtained within a short period of time for the establishment of an efficient rescue plan.
❸ If mobile big data are interconnected with existing disaster information, they are expected to be used as basic data for undertaking efficient rescue operations.
Jonghak Kim, research fellow at KRIHS, Yongsuk Ko, head of road policy research center,
Joongi Kim, research fellow at KRIHS, Jongil Park, researcher at KRIHS
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