论文标题
测量社区弹性局部2:仿真结果的随机多代理模型
Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part 2: Simulation Results
论文作者
论文摘要
在本文中,我们研究了相互依存的电力系统和紧急服务的弹性计划。我们研究了个人对个人心理福祉的同理心,合作,协调,灵活性和经验的影响。此外,我们探讨了紧急服务提供的信息的影响以及电能的可用性对个人的身体,心理和社会福祉的影响。对于我们的模拟,我们使用了一个随机,基于多代理的数值框架,该框架在伴侣论文中进行了报道,以估计社区的社会福祉,当时面临诸如飓风,洪水,地震和海啸之类的自然灾害。通过在两个案例研究的背景下测量社区的弹性来评估拟议方法的性能。这些效果分析了高斯社会随机特征。每个案例研究都考虑了九个特工,即三个社区的三个地区,总共产生了六个社区。结果表明,高水平的合作可以积极改变个人行为。此外,社区个人之间的关系至关重要,以至于人口较少和更多同情的社会可能比人口更多和同理心较少的社区更具韧性。
In this paper we investigate the resiliency planning of interdependent electric power systems and emergency services. We investigate the effect of the level of empathy, cooperation, coordination, flexibility, and experience of individuals on their mental well-being. Furthermore, we explore the impact of the information that is provided by emergency services and the impact of the availability of electric energy on the physical, mental, and social well-being of individuals. For our simulations, we use a stochastic, multi-agent-based numerical framework that is reported in the companion paper for estimating the social well-being of a community when facing natural disasters such as hurricanes, floods, earthquakes, and tsunamis. The performance of the proposed method is assessed by measuring community resilience for a multitude of effects in the context of two case studies. These effects are analyzed for Gaussian social random characteristics. Each case study considers nine agents, namely, three areas of three communities each, yielding a total of six communities. The results show that a high level of cooperation can positively change individual behavior. In addition, the relationship among the individuals of a community is so vital that the society with less population and more empathy may be more resilient than the community with more population and less empathy.