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Urban Disaster Prevention Lab
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A lab that studies earthquake shaking and the damage it causes in order to improve disaster prevention in cities.
AboutAbout the lab
From earthquake shaking to urban disaster prevention
The Urban Disaster Prevention Lab studies earthquake engineering and urban disaster prevention.
Its research ranges from strong-motion seismology, which examines how the ground shakes during an earthquake, to human casualties caused by earthquakes and risk assessment.
The lab also works on disaster prevention using AI, ICT, and IoT, monitoring for disaster prevention, and the application of deep learning to disaster prevention.
Key terms
- Strong-motion seismology
- The study of where and how strongly earthquake shaking occurs when it is powerful enough to cause damage.
- Risk assessment
- A method of estimating the possible scale and likelihood of damage from a disaster in order to plan preparations.
- Deep learning
- A machine learning method in which a neural network with many stacked layers learns features from large amounts of data.
ResearchResearch themes
Centered on earthquake engineering, strong-motion seismology, and urban disaster prevention, the lab's research covers human casualties caused by earthquakes and risk assessment. It also works on disaster prevention using AI, ICT, and IoT, and on applying deep learning to disaster prevention.
View More ↗MembersFaculty
- ProfessorNobuo Takai
- Associate ProfessorTadayoshi Nakashima
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Liquefaction in Kiyota Ward, Sapporo, caused by the 2018 Hokkaido Eastern Iburi Earthquake” 北海道開発局 / CC BY 4.0 (cropped)
- Related lab (Advanced Mobility Engineering Lab): “Tokachi-dake Skyline (Route 966) in Winter - panoramio” Kenneth Lee Sutherla… / CC BY 3.0 (cropped)
- Related lab (Structural Systems Lab): “Austin Texas LiDAR Point Cloud (Highway 183)” Rebecca equator / CC BY-SA 4.0 (cropped)
- Related lab (Building Structural Engineering Lab): “Konstrukcja SCS siewierz” Michal Bacia / CC BY-SA 4.0 (cropped)
- Related lab (Environmental Risk Engineering Lab): “Sedimentation Basin” Fmartinezcl / CC BY-SA 4.0 (cropped)
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