基于随机多主体模型的社区复原力测量-第2部分：模拟结果
Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part 2: Simulation Results
摘要：
在本文中，我们研究的弹性规划相互依赖的电力系统和应急服务。我们调查的共情水平的影响，合作，协调，灵活性和个人的经验对他们的心理健康。此外，我们还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，精神和社会福祉的影响。在我们的模拟中，我们使用了一个随机的，基于多代理的数值框架，该框架在同伴论文中报告，用于在面临飓风，洪水，地震和海啸等自然灾害时估计社区的社会福祉。所提出的方法的性能进行评估，通过测量社区的弹性，在两个案例研究的背景下的多种影响。这些影响进行了分析高斯社会随机特性。每个案例研究考虑九个代理人，即三个地区，每个地区有三个社区，总共有六个社区。结果表明，高水平的合作可以积极地改变个人行为。此外，一个社区中个体之间的关系是如此重要，以至于人口较少、同情心较强的社会可能比人口较多、同情心较弱的社会更具弹性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
