学术文献库

The Covid-19 pandemic has had a large impact on the world. The virus spreads especially easily among people in indoor spaces such as restaurants. Hence, tools that can assess if and how different restaurant settings can impact the potential spread of the virus are of high value. The novel activity choice and scheduling model for restaurants, presented in this paper, is a key part of a larger model which combines pedestrian dynamics modelling and epidemiological models to achieve exactly this. This novel activity model can produce activity schedules for both customers and staff at a restaurant for a variety of restaurant settings. A key feature of the model is that it requires little user inputs to do so which is important as the intended users are restaurant owners. These owners have neither the time nor the expertise to deal with complex input. Tests show that the model can produce face-valid activity schedules for both staff and customers for a variety of restaurant settings. The tests also show that different restaurant settings lead to distinctly different contact patterns between people in a restaurant. As such, the model can provide valuable insights into how a restaurant setting relates to the risk of virus transmission. This is especially the case when it is combined with data about the virus. Hence, it shows the high relevance of pedestrian dynamics modelling in these pandemic times and especially the relevance of activity choice and scheduling models.