KD-ACP: A Software Framework for Social Computing in Emergency Management

Bin Chen, Laobing Zhang, Gang Guo and Xiaogang Qiu

Mathematical Problems in Engineering, 2015, vol. 2015, 1-27

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:915429

DOI: 10.1155/2015/915429

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