重大地震直接经济损失的快速估算:基于证据的模型及其应用

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY Journal of Disaster Research Pub Date : 2023-02-01 DOI:10.20965/jdr.2023.p0178
Toshihisa Toyoda, Qinglin Cui, Masaki Ikeda, H. Nakamura, Hiroyuki Fujiwara
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引用次数: 0

摘要

本文提出了一种快速或实时估算日本大地震直接库存损失经济价值的方法。研究结果将有助于政府和私营部门的早期决策,特别是临时预算分配。首先,我们建立了一个简单但基于证据的模型,用于估算具有代表性的地震危险因子和暴露因子(即地震强度和现有实物资产存量)解释的库存损失。该估计模型的主要特点是因变量为县域损失量。然而,解释变量来自市政来源:我们通过估计过程克服了这个数据可用性问题。其次,我们仔细检查了模型的规格,估计和性能,以合理地应用于未来地震事件的实时评估。我们还解释了县直接损失值的自动测量及其每250米网的分布。最后,我们给出了两个应用我们模型的例子;一个是2018年的大阪北部地震,另一个是预期中的东京内陆地震。
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Rapid Estimation of Direct Economic Losses Caused by Significant Earthquakes: An Evidence-Based Model and its Applications
This paper presents a rapid or real-time estimation method of the economic value of direct stock damages caused by significant earthquakes in Japan. The result will contribute to both the government and private sectors’ early decision-making, particularly for provisional budget allocation. First, we developed a simple but evidence-based model for estimating stock losses explained by a representative earthquake hazard factor and an exposure factor, i.e., seismic intensity and existing stock of physical assets. The key characteristic of our estimation model is that the dependent variable is prefectural damage amount. Still, the explanatory variables come from municipal sources: we overcome this data availability problem through our estimation process. Second, we carefully checked the model’s specification, estimation, and performance to be soundly applied to a real-time assessment of future earthquake events. We also explain the automated measuring of the prefectural direct loss value and its distribution to every 250 m mesh. Finally, we show two examples of the application of our model; one is the case of the 2018 Northern Osaka Earthquake, and the other is the anticipated Tokyo inland earthquake.
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来源期刊
Journal of Disaster Research
Journal of Disaster Research GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
37.50%
发文量
113
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