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Statistical model for earthquake economic loss estimation using GDP and DPI: a case study from Iran

Mahdi Moudi (), Shiyu Yan (), Bahador Bahramimianrood (), Xiaoping Li () and Liming Yao ()
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Mahdi Moudi: Sichuan University
Shiyu Yan: Sichuan University
Bahador Bahramimianrood: Sichuan University
Xiaoping Li: Sichuan University
Liming Yao: Sichuan University

Quality & Quantity: International Journal of Methodology, 2019, vol. 53, issue 2, 583-598

Abstract: Abstract As earthquakes can result in multi-dimensional negative consequences such as human loss and building damage, the ability to make accurate economic loss estimations immediately after the occurrence is crucial. Unfortunately, in many earthquake-stricken countries such as Iran, governments are often unable to quickly or accurately assess post-earthquake losses. The aim of this paper, therefore, is to extend the model developed by Chan et al. (Nat Hazards 17:269–283, 1998) to two independent variables to develop an earthquake economic loss estimation method based on the economic and socio-economic indices gross domestic product (GDP) and disposable personal income (DPI) and a seismic hazard probability function. A global cell map is also considered to assess the GDP and DPI based on the population in each cell affected by the earthquake. In the final stage, using the Modified Mercalli Intensity Scale, 18 earthquake damaged areas in Iran are taken as case study to estimate the economic losses using the new model presented in this paper.

Keywords: Earthquake loss; Economic loss; GDP & DPI (search for similar items in EconPapers)
Date: 2019
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