Abstract:
The uncertain and devastating outcomes of natural disasters require pre-planning and timely coordination to reduce human and economic loss. While predictive capabilities ...Show MoreMetadata
Abstract:
The uncertain and devastating outcomes of natural disasters require pre-planning and timely coordination to reduce human and economic loss. While predictive capabilities remain limited - especially in the event of earthquakes, significant research efforts have been made towards increasing the efficiency and preparedness of rescue and relief operations. In this respect, different applications of agent-based modeling exhibits substantial promise for enabling humanitarian committees in terms of better planning and responsiveness in case of a disaster. While the usefulness of more conventional disaster management systems that focus primarily on communication and coordination efforts have a significant role, the ability of agent - based systems to aid decision making under unforeseen circumstances adds a new dimension to the overall effectiveness of such systems. Hence, the following study surveys conventional and agent-based disaster management systems, and aims to determine the performance of both systems.
Date of Conference: 11-12 July 2018
Date Added to IEEE Xplore: 18 November 2018
ISBN Information: