Project Name
A decision support tool for disaster risk management

Principal Investigator
Slobodan Simonovic, William Leiss, Donald Burn, Hanping Hong

Objective
Today disaster risk reductions are attempted on the basis of a number of different conceptual approaches to ‘risk'. The fallibility/unreliability of human judgment of natural disaster risk has been demonstrated in the past. Decision-makers are well aware of their own practice of attaching more weight to the perception of risk than to real risk impacts. In spite of the awareness of these weaknesses a very basic confusion continues to permeate both engineering and societal disaster risk decisions. Disaster risk management is considered in the proposed research as a decision problem. The proposed work is aimed at the development of a decision support tool for (a) qualitative framing of the disaster risk problem/s; (b) quantitative disaster risk assessment; and (c) integrated disaster risk and risk issue/s management.