Disaster Rescue Simulation based on Complex Adaptive Theory

Feng Jiang (University of Science and Technology of China)
Liangtu Song (University of Science and Technology of China)
Yida Fan (National Disaster Reduction Center)
Wenbo Li (Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei)
Jie Zhang (University of Science and Technology of China)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 11, No 5: May 2013

Disaster rescue is one of the key measures of disaster reduction. The rescue process is a complex process with the characteristics of large scale, complicate structure, non-linear. It is hard to describe and analyze them with traditional methods. Based on complex adaptive theory, this paper analyzes the complex adaptation of the rescue process from seven features: aggregation, nonlinearity, mobility, diversity, tagging, internal model and building block. With the support of Repast platform, an agent-based model including rescue agents and victim agents was proposed. Moreover, two simulations with different parameters are employed to examine the feasibility of the model. As a result, the proposed model has been shown that it is efficient in dealing with the disaster rescue simulation and can provide the reference for making decisions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2467