Omkar2118/datasets huggingface dataset:
Building air quality and pandemic risk simulation

The original paper contains a high-level explanation of the dataset characteristics, and potential use cases of the dataset. ArchABM can help to quantify the impact of some of these building- and company policy-related measures. 

**Baseline experiment**

A baseline case with no measures and reduced ventilation is first studied. An schedule is set for each event type, along with their minimum and maximum duration $\tau$, and the number of repetitions. The mask is not used anywhere ($m_e = 0$). Meetings and the lunch activity are considered to be collective events. 

The places' capacity refers to the maximum number of people that can be present in that specified space. A low natural ventilation rate is established ($\lambda_a = 1.5$, and $\lambda_a = 0.5$ for poor ventilated rooms) and there is no mechanical ventilation ($\lambda_r = 0$). 

**Building-related experiments**

- **Larger building**: each room's area (and thus each room's volume) is increased by 20%. This measure needs to take into account the increase in costs, which would mean an increase of almost 20% in the final construction costs as well.

- **Separate workspaces**: the open office is divided into three identical offices, each one with 110 $m^2$, 16 people (48/3), and a capacity of 20 (60/3).

- **Better natural ventilation**: windows are opened everywhere except in restrooms for better outdoor air supply. $\lambda_a$ is increased up to 5 $h^{-1}$.

- **Better mechanical ventilation**: the flow rate $Q_{AC}$ of the AC system is incremented, assuming a 20% filter efficiency $\varepsilon_{filter}$, a 10% of removal in ducts $\varepsilon_{ducts}$ and no additional $\varepsilon_{extra}$ removal measures. Adding AC to the building would mean an increase of 14% in the building overall costs.


**Policy-related experiments**

- **Shifts between workers**: this would imply a reduction in the number of people present in each room. For this experiment, the population is reduced by 40%, resulting in 29 people in the open office, 4 in the IT Office, and 1 in each chief office, summing up to 36 people. This measure also entails a non-quantifiable cost to the company. 
    
- **Limit duration of events**: the duration of meetings is limited to a maximum of 30 minutes, setting $\tau = [0.\hat{3} - 0.5] h$. The duration of coffee breaks would be limited to 5 minutes, meaning $\tau = 0.08\hat{3} h$, and lunch would be of 20 minutes, $\tau = 0.\hat{3} h$.
    
- **Use of masks**: in this case, the mask use is mandatory, meaning that $m_f = 1$ and the mask efficiency, $m_e$, is set to 0.75 in the offices and meeting rooms, to 0.5 in the restrooms, to 0.3 for coffee breaks and leaving it at 0 for lunch breaks, representing the absence of masks while eating.

Introducing paper: ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality