Modeling macro scale disaster risk: The CATSIM model

Hochrainer-Stigler, S., Mechler, R. ORCID:, & Pflug, G.C. ORCID: (2013). Modeling macro scale disaster risk: The CATSIM model. In: Integrated Catastrophe Risk Modeling: Supporting Policy Processes. Eds. Amendola, A, Ermolieva, T, Linnerooth-Bayer, J, & Mechler, R ORCID:, Dordrecht: Springer. 10.1007/978-94-007-2226-2_8.

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Developing countries are placing increasing emphasis on improving their preparedness for and management of disaster risk. We discuss the CATSIM (CATastropheSIMulation) model developed at IIASA for assistance in such planning exercises. CATSIM represents a simple but risk-based economic framework for evaluating economic disaster impacts, and the costs and benefits of measures for reducing those impacts. CATSIM uses stochastic simulation of disaster risks in a specified region and examines the ability of the government and private sector to finance relief and recovery. The model is interactive in the sense that the user can change parameters and test different assumptions about hazards, exposure, vulnerability, general economic conditions and the government's ability to respond. As a capacity building tool it can illustrate the tradeoffs and choices government authorities are confronted with for increasing their economic resilience to the impacts of catastrophic events. The model can be used for supporting policy planning processes for the allocation of resources between ex-ante spending on disaster risk management (such as prevention, national reserve funds, sovereign insurance) and ex-post spending on relief and reconstruction. Our paper describes key model features and mechanics, and sets the stage for model applications to the Nepal and Hungary/Tisza cases discussed in this volume.

Item Type: Book Section
Uncontrolled Keywords: Catastrophe modeling; Economic impacts; Government risk management; Fiscal stability; Development
Research Programs: Risk & Resilience (RISK)
Risk, Policy and Vulnerability (RPV)
Bibliographic Reference: In: A Amendola, T Ermolieva, J Linnerooth-Bayer, R Mechler (Eds); Integrated Catastrophe Risk Modeling: Supporting Policy Processes; Springer, Dordrecht, Netherlands pp.119-144
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Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:49
Last Modified: 27 Aug 2021 17:23

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