Next-Generation of Urban Emergency Management: When human mobility prediction meets Big Data
| Project/Area Number |
26730113
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Song Xuan 東京大学, 空間情報科学研究センター, 特任准教授 (20600737)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | Human Mobility / Disaster Informatics / Data Mining / Big Data Application |
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| Outline of Final Research Achievements |
The frequency and intensity of natural disasters has significantly increased over the past decades and this trend is predicted to continue. To plan effective humanitarian relief, transportation scheduling, disaster management and long-term societal reconstruction, modeling and predicting human emergency behavior will play the most important role for the next-generation of urban emergency management. By mining big and heterogeneous data, this project developed several models and systems for predicting and simulating human emergency behavior and mobility following large-scale disasters at a citywide level. In addition, this project implemented the key modules for the next-generation of urban emergency management system.
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Report
(3 results)
Research Products
(14 results)
