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Titlebook: Advances in Spatial and Economic Modeling of Disaster Impacts; Yasuhide Okuyama,Adam Rose Book 2019 Springer Nature Switzerland AG 2019 di

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The Challenge of Estimating the Impact of Disasters: Many Approaches, Many Limitations and a Comprommic activities in hazard-prone areas. Although losses in physical infrastructure and lifelines are usually spatially concentrated in a few areas, their effects tend to spread geographically and temporally due to the more spatially disperse nature of production chains and the timing and length of dis
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Multiregional Disaster Impact Models: Recent Advances and Comparison of Outcomes the multiregional supply-use model, the dynamic multiregional inoperability input-output model, the multiregional impact assessment model and the non-linear programming model. Whereas the first two approaches have been applied widely over the last years, the latter two are recently developed method
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On the Sensitivity of Impact Estimates for Fixed Ratio Assumptionsof the size of regional and national disaster impacts. To investigate this issue, we use the German multiregional supply-use table (MRSUT) for 2007, together with data on the direct impacts of the 2013 heavy floods of the German Elbe and the Danube rivers. Our analysis starts with a non-linear progr
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Transportation Disruptions and Regional Supply Chains: A Modeling Framework with Application to Coass a challenge. This chapter develops a framework for modeling transport system disruption that is designed to support decision-making for disaster resilience. It focuses on a relatively simple yet vital transport system, coastal shipping, and its role in regional supply chains, particularly in the d
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Vulnerability, Resilience and Exposure: Methodological Aspectsrspective, of the socio-economic shocks—at both the regional and the community level, especially in the European Union Member States. These differences may be due to the different levels of vulnerability, resilience and exposure, and may arise because of dissimilarities in the intrinsic characterist
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Advantages of the Regional and Sectoral Disaggregation of a Spatial Computable General Equilibrium Mretical foundation and can explain both forward and backward linkages in an economy; hence, it is suitable for predicting the economic impact of supply and demand shocks during a disaster. Spatial and sector classifications for the CGE model are key elements that affect the performance of the model.
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Spatio-Temporal Drought Risk Analysis Using GIS-Based Input Output Modelingespread severe impacts; for example, in 2016, the northeastern region of the United States experienced record levels of rainfall shortage, forcing regional government agencies to issue warnings and emergency advisories to the public. During drought events, the economic losses due to water shortage a
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