Integrated Catastrophe Risk Modeling : Supporting Policy Processes - Amendola, Aniello; Ermolieva, Tatiana; Linnerooth-Bayer, Joanne; Mechler, Reinhard; SpringerLink (Online service) (Dordrecht : Springer Netherlands : Imprint: Springer, 2013)
Preface -- PART I. Integrated Modeling for Informing Risk Management Policies -- 1. Integrated Modeling for Informing Risk Management Policies: An Introduction -- 2. Modeling Risk and Uncertainty: Managing Flash Flood Risk in Vienna -- 3. Modeling Catastrophe Risk for Designing Insurance Systems -- 4. Handling Multiple Criteria in Flood Risk Management -- 5. Dams and Catastrophe Risk: Discounting in Long-Term Planning -- PART II. Disasters and Growth: Modeling and Managing Country-wide Catastrophe Risk -- 6. Modeling Aggregate Economic Risk: An Introduction -- 7. Catastrophe Risk and Economic Growth -- 8. Modeling Macro-scale Disaster Risk: The CATSIM Model -- 9. Managing Indirect Economic Consequences of Disaster Risk: The Case of Nepal -- PART III. Tisza River Basin in Hungary:  Flood Risk Management, Multi-Stakeholder Processes and Conflict Resolution -- 10. Catastrophe Models and Policy Processes: Managing flood Risk in the Hungarian Tisza river basin. An introduction -- 11. Social Indicators of Vulnerability to Floods: An Empirical Case Study in Two Upper Tisza Flood Basins -- 12. Designing a Flood Management and Insurance System in Hungary: A Model-Based Stakeholder Approach -- 13. Consensus by Simulation: A Flood Model for Participatory Policy -- 14. A Risk-Based Decision Analytic Approach to Assessing Multi-Stakeholder Policy Problems -- 15. Optimizing Public Private Risk Transfer Systems for Flood Risk Management in the Upper River Tisza -- 16. Flood Risk in a Changing Climate: A Multilevel approach for Risk Management -- Index.
Keywords: Natural disasters; Business; Management science; Sustainable development; Probabilities; Quality control; Reliability; Industrial safety; Natural Hazards; Business and Management, general; Sustainable Development; Probability Theory and Stochastic Processes; Quality Control, Reliability, Safety and Risk