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Paper Abstract and Keywords
Presentation 2018-01-19 11:45
Spatio-Temporal Mobile Call Demand Estimation in the Kumamoto Earthquakes
Lei Zhong (NII), Kiyoshi Takano (UTokyo), Kunikazu Yoda, Yusheng Ji, Shigeki Yamada (NII)
Abstract (in Japanese) (See Japanese page) 
(in English) Due to the increasing importance of mobile communications in disaster mitigation and relief, it is very critical to be able to communicate and share critical information with others anytime and anywhere during natural disasters such as earthquakes. However, the mobile network infrastructures are usually not only physically damaged by the disasters but also congested by a tremendous traffic of mobile-phone calls. Therefore, being able to estimate the mobile-phone call demand is a key for mobile network operators to better prepare for and respond to the network congestion before and during the disasters. In this paper, we propose a data-driven approach to estimate the spatio-temporal mobile-phone call demand by leveraging the big data collected from the operational mobile network. Specifically, we develop a model that shows how the mobile-phone call demand varies with the population based on the collected data from public industrial surveys and reports. We apply it to the live population distribution big data during the Kumamoto earthquakes to demonstrate the mobile-phone call demand changes spatially and temporally on the geographical map. In addition, we also demonstrate the estimation of mobile-phone call demand during the worst-case – a hypothetical earthquake occurs in the daytime. Finally, we discuss the trend of future mobile networks and services that have great potential to alleviate the network congestions in future disasters.
Keyword (in Japanese) (See Japanese page) 
(in English) Mobile-Phone Call Demand / Earthquake Disaster / Spatio-Temporal Estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 386, CQ2017-94, pp. 51-56, Jan. 2018.
Paper # CQ2017-94 
Date of Issue 2018-01-11 (CQ) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee CQ  
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) NII 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc. 
Paper Information
Registration To CQ 
Conference Code 2018-01-CQ 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Spatio-Temporal Mobile Call Demand Estimation in the Kumamoto Earthquakes 
Sub Title (in English)  
Keyword(1) Mobile-Phone Call Demand  
Keyword(2) Earthquake Disaster  
Keyword(3) Spatio-Temporal Estimation  
1st Author's Name Lei Zhong  
1st Author's Affiliation National Institute of Informatics (NII)
2nd Author's Name Kiyoshi Takano  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Kunikazu Yoda  
3rd Author's Affiliation National Institute of Informatics (NII)
4th Author's Name Yusheng Ji  
4th Author's Affiliation National Institute of Informatics (NII)
5th Author's Name Shigeki Yamada  
5th Author's Affiliation National Institute of Informatics (NII)
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Date Time 2018-01-19 11:45:00 
Presentation Time 25 
Registration for CQ 
Paper # IEICE-CQ2017-94 
Volume (vol) IEICE-117 
Number (no) no.386 
Page pp.51-56 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2018-01-11 

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