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Mathematical Problems in Engineering - Volume 2015 2015, Article ID 915429, 27 pages -

Research ArticleResearch Center of Computational Experiments and Parallel System Technology, College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Received 4 June 2014; Accepted 23 August 2014

Academic Editor: Praveen Agarwal

Copyright © 2015 Bin Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper addresses the application of a computational theory and related techniques for studying emergency management in social computing. We propose a novel software framework called KD-ACP. The framework provides a systematic and automatic platform for scientists to study the emergency management problems in three aspects: modelling the society in emergency scenario as the artificial society; investigating the emergency management problems by the repeat computational experiments; parallel execution between artificial society and the actual society managed by the decisions from computational experiments. The software framework is composed of a series of tools. These tools are categorized into three parts corresponding to -A,-C,- and -P,- respectively. Using H1N1 epidemic in Beijing city as the case study, the modelling and data generating of Beijing city, experiments with settings of H1N1, and intervention measures and parallel execution by situation tool are implemented by KD-ACP. The results output by the software framework shows that the emergency response decisions can be tested to find a more optimal one through the computational experiments. In the end, the advantages of the KD-ACP and the future work are summarized in the conclusion.





Autor: Bin Chen, Laobing Zhang, Gang Guo, and Xiaogang Qiu

Fuente: https://www.hindawi.com/



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