{"url":"/dataset/building-air-quality-and-pandemic-risk","name":"Building air quality and pandemic risk simulation","full_name":null,"description_markdown":"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. \r\n\r\n**Baseline experiment**\r\n\r\nA 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. \r\n\r\nThe 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 ($\\lambda_r = 0$). \r\n\r\n**Building-related experiments**\r\n\r\n- **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.\r\n\r\n- **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).\r\n\r\n- **Better natural ventilation**: windows are opened everywhere except in restrooms for better outdoor air supply. $\\lambda_a$ is increased up to 5 $h^{-1}$.\r\n\r\n- **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.\r\n\r\n\r\n**Policy-related experiments**\r\n\r\n- **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. \r\n    \r\n- **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, $\\tau = 0.\\hat{3} h$.\r\n    \r\n- **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.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/cx3byrjx7b/1","introduced_date":"2021-11-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/archabm-an-agent-based-simulator-of-human","title":"ArchABM: an agent-based simulator of human interaction with the built environment. $CO_2$ and viral load analysis for indoor air quality","first_author":"Iñigo Martinez","url":null},"license":{"name":"CC BY","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Building air quality and pandemic risk simulation"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}