Know Maximal Occupancy Estimates
With the ongoing COVID-19 pandemic, many countries were forced to adopt preemptive quarantining measures, closure of non-essential services and instate travel restrictions. Even if effective as short-term solutions for the containment of the SARS-CoV-2 virus, these measures are not sustainable in the long-term. Soon, these countries will have to relax such strict policies to avoid crippling economic situations. Along with that relaxation, however, there is a risk of re-igniting the contagion. Thus, the populations' complex contact networks, coupled with the virus' high transmission rates, present a serious challenge for decision-makers and business owners alike. The major question is how can we control the risk of contagion, whilst alleviating currently imposed restrictions?
After the restrictions are lifted, health experts are advising to maintain social distance between people assembling in public places, shops, private arenas and in public transportations. Though the exact distance requirement can vary from country to country, maintaining the distance is required to limit the spread of infections. However, presently, there is no easy way to determine the number of people, who can be simultaneously allowed to be present in a particular place.
By developing the Capacity Estimation tool, we attempt to fill this gap, where we utilize random Monte Carlo Simulations to estimate how many people can be safely accommodated in a public space while maintaining specific social distances.
After the restrictions are lifted, health experts are advising to maintain social distance between people assembling in public places, shops, private arenas and in public transportations. Though the exact distance requirement can vary from country to country, maintaining the distance is required to limit the spread of infections. However, presently, there is no easy way to determine the number of people, who can be simultaneously allowed to be present in a particular place.
By developing the Capacity Estimation tool, we attempt to fill this gap, where we utilize random Monte Carlo Simulations to estimate how many people can be safely accommodated in a public space while maintaining specific social distances.
Rectangular Rooms
If you would like to quickly find reference capacities for public and/or personal establishments, follow the link below for more information:
Public Transports
If you would like to find reference capacities for the most commonly used means of public transportation, follow the link below:
Rectangular Rooms (w/ Fixed Seating)
For specific instances where customers would be contrained to specific seating assignments within a room, you may use one of our simulators to get a more sensitive estimate for occupancy: