Usage of large scale positioning data for disaster area support
| Project/Area Number |
24656299
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Civil engineering project/Traffic engineering
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| Research Institution | Tohoku University |
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Principal Investigator |
OKUMURA Makoto 東北大学, 災害科学国際研究所, 教授 (00194514)
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| Co-Investigator(Kenkyū-buntansha) |
OKUBO Kazuaki 埼玉大学, 大学院理工学研究科, 助教 (50546744)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 防災計画 / 位置情報 / GPS / ビッグデータ / センシング |
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| Outline of Final Research Achievements |
When a city is hit by a huge disaster, activities and functions of the city necessary for people are lost and damaged. Total loss of the disaster is not only determined by the direct damage but also by recovering speed. The aim of this analysis is to extract spatio-temporal patterns in a city during a disaster recovery process based on aggregated positioning data of mobile phones. In this analysis, we classified activities and functions decreased through spatial patterns of population distribution during a disaster recovery process through a factor analysis, and confirmed difference in recovering speed. Moreover, we suggested that each spatial pattern is related to the spatial pattern in normal time.
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Report
(4 results)
Research Products
(21 results)
