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Methodologies for estimating the economic impacts of natural disasters / Hirokazu Tatano, Yoshio Kajitani, editors.
Tatano, Hirokazu, editor.; Kajitani, Yoshio, editor.
2022
HC79.D45 M48 2022
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Title
Methodologies for estimating the economic impacts of natural disasters / Hirokazu Tatano, Yoshio Kajitani, editors.
ISBN
9789811627194 (electronic bk.)
9811627193 (electronic bk.)
9789811627187
9811627185
DOI
https://doi.org/10.1007/978-981-16-2719-4
Published
Singapore : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (some color)
Item Number
10.1007/978-981-16-2719-4 doi
Call Number
HC79.D45 M48 2022
Dewey Decimal Classification
363.34
Summary
This book outlines methodologies to estimate the economic impacts of natural disasters based on business surveys conducted after large disasters in Japan. By including numerous observations on business activities in past disasters and the validations of both engineering and economic models based on these data sets, this book appeals to practitioners who estimate the regional economic impacts as well as to students and young professionals in various fields who conduct disaster impact studies. The book consists of 7 chapters and includes theories and practices, which help readers to interlink the estimation methods with real-world problems. The study primarily focuses on cases in Japan, but the methods employed can be generalized and applied in other countries.
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text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 14, 2021).
Added Author
Tatano, Hirokazu, editor.
Kajitani, Yoshio, editor.
Series
Integrated disaster risk management. 2509-7105
Available in Other Form
Print version: 9789811627187
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Introduction
Functional fragility curves for production capacity
Measures for Estimating Production Capacity Losses
SCGE models to Assess Higher-order Impacts of Production Capacity Losses
Economic Impacts of a Nankai Megathrust Earthquake Scenario
Economic Impacts of the Transportation Network Disruption: An Extension of the SCGE Model
Conclusions.

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