Optimization Modeling for Risk Regulation Zones in Tsunami-prone Areas
| Project/Area Number |
21K14323
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 23030:Architectural planning and city planning-related
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| Research Institution | The University of Tokyo (2023)
Shibaura Institute of Technology (2021-2022) |
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Principal Investigator |
バタチャリヤ ヤスミン 東京大学, 生産技術研究所, 特任研究員 (20778154)
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| Project Period (FY) |
2021-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2022: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | zoning / disaster mitigation / optimization / urban planning |
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| Outline of Research at the Start |
The designation of land-use and building regulation zones in tsunami-prone areas is a commonly recommended strategy to ensure disaster risk reduction. However, it is difficult to implement this as citizens often remain wary of the immediate economic effects of such strategies. To reach consensus on regulation zone designations with consideration to the conflicting aims and perceptions of the stakeholders, this research will develop an optimization model to suggest zoning which maximizes the future safety of the region while minimizing any immediate negative impact on the local economy.
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| Outline of Annual Research Achievements |
This project was restarted after being granted a period of leave to the PI, and the duration from the restart date has been close to 8 months plus. Thus the reportable progress is a little less than can be expected for the next year.
However, significant progress has been made in regards to Objective 2, with insights from international perspectives as well. Ongoing research with Thailand, which also has a high tsunami prone region has reinforced the importance of this research and designation systems for land-use. However the expected requirements can be quite different compared to Japan due to contexts of the affected region and its economic structure.
This insight and the relevant factors has been one of the achievements of this research term. In particular, we have been able to do in-depth analysis on Objective 2 which is "incorporate spatial optimization and land-use management criteria in optimization model" 2(a) and 2(b) based on the above insights.
Publications and conference presentations regarding these results are expected in this year.
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
Since the project was restarted after being granted a period of leave to the PI, the progress has been a little delayed but is expected to be caught up within the next term.
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| Strategy for Future Research Activity |
Next phase is the Objective 3 and the iterative improvement of Objective 1.
Objective 3(b) "usability-based analysis" maybe conducted in two places (Japan and Thailand) due to ongoing collaboration with Thailand, and as a result we may be able to output Objective 3(c) "good criteria for designation settings" for both countries/regions, which would be an added achievement.
At the same time, due to the inclusion of insight from Thailand, Objective 2 also needs to be iteratively improved for the optimization system to work for both Japan and Thailand.
Also publication on the outputs from this term's research is under progress in regards to Objective 2.
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Report
(3 results)
Research Products
(5 results)
