Multi-Agent Simulations are useful tools to predict the effects of public policies. In the last three years, with the concerns around the COVID-19 pandemic, several simulations were developed to understand the effects of lockdown, travel, etc. Even before that, MAS systems were used to plan disaster evacuation policies, transit policies, and many others. In this paper, we propose and analyze a mixed model that considers the effects of masking and large scale evacuations at the scale of a large university campus and its neighborhood. This project is part of a larger effort to create a simulator that considers how human mobility (pedestrian, public transportation, private transportation) interacts with large scale events (natural disasters, entrance examinations, pandemics) at a neighborhood level in the Japanese context. We evaluate how the simulator in its current state can reflect the effect of different masking policies on the spread of COVID-19 during an earthquake evacuation scenario.

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