National scale analysis on population distribution and movement using mobile phone data
Project/Area Number |
26249074
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Research Category |
Grant-in-Aid for Scientific Research (A)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Civil engineering project/Traffic engineering
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Research Institution | The University of Tokyo |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
瀬崎 薫 東京大学, 空間情報科学研究センター, 教授 (10216541)
関本 義秀 東京大学, 生産技術研究所, 准教授 (60356087)
渡辺 知保 東京大学, 医学(系)研究科(研究院), 教授 (70220902)
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Co-Investigator(Renkei-kenkyūsha) |
Kanasugi Hiroshi 東京大学, 地球観測データ統融合連携研究機構, 特任研究員 (00526907)
Arai Ayumi 東京大学, 空間情報科学研究センター, 特任研究員 (10788574)
Apichon Witayangkurn 東京大学, 空間情報科学研究センター, 特任助教 (90726407)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥41,470,000 (Direct Cost: ¥31,900,000、Indirect Cost: ¥9,570,000)
Fiscal Year 2016: ¥11,960,000 (Direct Cost: ¥9,200,000、Indirect Cost: ¥2,760,000)
Fiscal Year 2015: ¥12,740,000 (Direct Cost: ¥9,800,000、Indirect Cost: ¥2,940,000)
Fiscal Year 2014: ¥16,770,000 (Direct Cost: ¥12,900,000、Indirect Cost: ¥3,870,000)
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Keywords | 携帯電話データ / データ解析 / 人口分布 / 人流 / バングラデシュ / 災害対応 / 携帯電話 / 位置情報解析 / 国土計画 / CDRデータ / 属性推定 / 人口統計 / 途上国 / 人口動態 / 移動解析 / 不健康問題 |
Outline of Final Research Achievements |
Population distribution and its movement is a key information for better informed decision-making in disaster risk management, transportation planning and environmental conservation. Using mobile phone systems, we could estimate the distribution and movement of population. The estimation with mobile phone data will have a significant impact to and make contributions to society. This study, keeping global scale applications in mind, develops a series of methodologies of estimating the distribution and movement of population at national scale using mobile phone data or CDR (Call Detail Record) data. The methodologies include a spatio-temporal interpolation method of CDR data, a method of estimating demographic attributes to create Dynamic Census data. The methodologies are implemented as a system that could be easily transplanted. Finally the system are applied to mobile phone data of Bangladesh (27 million subscribers). Population distribution and movement were successfully estimated.
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Report
(4 results)
Research Products
(18 results)
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[Journal Article] Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods2016
Author(s)
Guo, Z., Shao, X., Xu, Y., Miyazaki, H., Ohira, W., Shibasaki, R
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Journal Title
Remote Sensing
Volume: 8
Pages: 271-285
Related Report
Peer Reviewed / Int'l Joint Research
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[Journal Article] Understanding Tourist Behavior Using Large-scale Mobile Sensing Approach: A Case Study Of Mobile Phone Users In Japan2014
Author(s)
Phithakkitnukoon, S., Horanont, T., Witayangkurn, A., Siri, R., Sekimoto, Y., and Shibasaki R.
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Journal Title
Pervasive and Mobile Computing
Volume: 1
Pages: 1-22
Related Report
Peer Reviewed / Int'l Joint Research
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[Presentation] CityCoupling: bridging intercity human mobility2016
Author(s)
Zipei Fan, Xuan Song, Ryosuke Shibasaki, Tao Li, and Hodaka Kaneda
Organizer
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '16)
Place of Presentation
Heidelberg, Germany
Year and Date
2016-09-12
Related Report
Int'l Joint Research
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[Presentation] Understanding User Attributes from Calling Behavior: Exploring Call Detail Records through Field Observations and Potential of Estimating User Attributes of Anonymized Call Records2015
Author(s)
Arai, A., Witayangkurn, Kanasugi, H., A., Horanont, T., Shao, X., Shibasaki, R.
Organizer
NetMob 2015
Place of Presentation
Boston USA
Year and Date
2015-04-07
Related Report
Int'l Joint Research
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[Presentation] Estimate of Human Demographic Attributes Using Person Flow Dataset2014
Author(s)
Nishimura, T., Akiyama, Y., Kanasugi, Y., Horanont, T., Shibasaki, R., Sekimoto, Y.
Organizer
The International Symposium on City Planning 2014,2014/11/07
Place of Presentation
Hanoi Vietnam
Year and Date
2014-11-07
Related Report
Int'l Joint Research
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