横幹
Online ISSN : 2189-6399
Print ISSN : 1881-7610
ISSN-L : 1881-7610
特集原著論文:第6回横幹連合コンファレンス発表論文セレクション
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
地域メッシュ統計の利活用
佐藤 彰洋榎峠 弘樹Tae-Seok JANG澤井 秀文
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ジャーナル オープンアクセス

2016 年 10 巻 2 号 p. 76-83

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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.
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この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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