An evaluation about decision-making mechanisms within the scope of disaster management

Abstract

The Decision-making process in the disaster management cycle has a very significant role in making versatile and effective actions at any level of management for people including disaster managers. People may face any emergency situation or any type of disaster in an unprecedented scale and psychological extent so corresponding decisions on disaster management should be taken at the highest possible reliable level. Thus, it is very crucial to make the right decisions before/during/aftermath the disasters in order to minimize any risks which have the capacity to transform any level of hazards related to life, economy and infrastructure. This thesis's main idea is to scrutinize appropriate decision-making methods which can be useful in compatibility between two systems of thinking, called "System 1" and "System 2", otherwise they are computing to each other to induce unconditioned risk management. The thesis is based on a general literature review in disaster management and a new hypothetical decision-making model for every phase of disaster management will be proposed. The model is composed of two main different parameters of critical level and number of decisions relative impact of the time. The model is formulated and named as "Density of Decisions". It may be possible that in future studies, various parameters e.g "Decision Quality" which are related to the field can be added to the formula. Thus, the decision-making process in disaster management can attain accurate results with a measurable perspective since the level of management difficulty is linked to the density of decision model. Also, disaster managers who aim to be entitled to disaster management will be able to evaluate the effectiveness in their opinions by using the hypothetical model. Integrating two modes of thinking into our model will surely enhance disaster manager's point of view in the decision-making process while they have to make multiple decisions under uncertainties in struggling severe situations. The contribution of this research will be influential and productive in making well-directed decisions and there will be a chance to verify or interrogate their actions with the aid of different branches of science.