Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part
2: Simulation Results
- URL: http://arxiv.org/abs/2004.05185v1
- Date: Thu, 2 Apr 2020 01:56:20 GMT
- Title: Stochastic Multi-Agent-Based Model to Measure Community Resilience-Part
2: Simulation Results
- Authors: Jaber Valinejad, Lamine Mili, Konstantinos Triantis, Michael von
Spakovsky, and C. Natalie van der Wal
- Abstract summary: We investigate the effect of empathy, cooperation, coordination, flexibility, and experience of individuals on their mental well-being.
We use a multi-agent-based numerical framework for estimating the social well-being of a community when facing natural disasters.
The results show that a high level of cooperation can positively change individual behavior.
- Score: 2.6277263675268205
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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.
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