経済社会データおよび環境データを用いた空間評価指標の大規模計算
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- 佐藤 彰洋
- 京都大学大学院情報学研究科
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- 榎峠 弘樹
- Triton Re, 29 Front Street, Hamilton, Bermuda HM11
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- JANG Tae-Seok
- School of Economics and Trades, Kyungpook National University,
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- 澤井 秀文
- 情報通信研究機構ユニバーサルコミュニケーション研究所
書誌事項
- タイトル別名
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- Large-Scale Computation of Geographical Evaluation Indicators using Socio-Economic-Environmental Databases
- 地域メッシュ統計の利活用
- A Use Case of Grid Square Statistics
説明
The risk is evaluated as multiplication among socioeconomic value exposed to risk events, a frequency of risk events and vulnerability (socioeconomic-technological responses), which depends on time and place. We calculate 1-km grid square statistics of physical exposures in about 380,000 grids over Japan for four cases: population in 2010, firms and workers in 2012, and travelers in 2013. The exposed values and the frequencies of risky events are estimated from government statistics data and NOAA Tsunami catalog data by using a statistical inference method. We assumed a generalized Pareto distribution to infer the frequency of tsunami run-up events and estimated its parameters in each 1-km grid square from run-up events close to the grid square. Assuming that the vulnerability is set as 1 (no responses to tsunami run-up events), we estimated physical exposures defined as multi- plication between an exposed value and a frequency in each 1-km grid square. We further applied our proposed method to evaluating tsunami risks of 3,916 airports used in international air transportation in 2014.
収録刊行物
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- 横幹
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横幹 10 (2), 76-83, 2016
特定非営利活動法人 横断型基幹科学技術研究団体連合
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390282680266249984
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- NII論文ID
- 130005429978
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- ISSN
- 21896399
- 18817610
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可
