AN OVERVIEW OF AGENT-BASED MODELLING APPROACHES FOR INTEGRATED FLOOD MANAGEMENT

Abstract

Previously, Integrated Flood Management (IFM) system has been implemented by several hydrological researchers in order to minimize the global flood risk by providing a convincing flood risk assessment and management, as well as sustainable adaptation and disaster alleviation policy. Flood risk is dynamic interaction between natural disasters and human vulnerability. Basically, methods for quantifying flood risk are fully-fledged but tend to treat artificial and economic vulnerabilities as static or subject to changes in external trends. However, interpretive research is rarely conducted to investigate people’s decision-making and acknowledge to flood warnings during flood event. The integration of Agent-Based Model (ABM) in simulating the interactions and dynamic responses of individual or organizations in a spatial environment during the flood events or prior to the events were reviewed. The ABM model is defined as a computational method used to simulate the behaviour and the interaction of autonomous decision-making entities in a network or system it is used to evaluate their impact on the entire system. Therefore, the ABM approach has been chosen to emulate the complexity of the IFM process due to its capability and flexibility to simulate the dynamic of human-environment scenarios in the spatial environment.