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, and the number of repetitions. The mask is not used anywhere. 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 and there is no mechanical ventilation. 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 m2, 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. Natural ventilation rate is increased up to 5. - Better mechanical ventilation: the flow rate of the AC system is incremented, assuming a 20% filter efficiency, a 10% of removal in ducts and no additional 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. The duration of coffee breaks would be limited to 5 minutes and lunch would be of 20 minutes. - Use of masks: in this case, the mask use is mandatory and the mask efficiency 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.本原始论文对该数据集的特征及潜在应用场景进行了高层次阐释。ArchABM可用于量化部分与建筑及企业政策相关措施的影响。 基准实验 本研究首先开展无任何干预措施且通风量降低的基准场景实验。为每种事件类型设定运行时间表，同时明确其最小、最大持续时长及重复次数。全程不使用口罩。会议与午餐活动被归类为集体性事件。 场所容量指的是该指定空间内可容纳的最大人数。本实验设定较低的自然通风速率，且无机械通风设施。 与建筑相关的干预实验 - 扩大建筑规模：将每个房间的面积（及相应的房间体积）提升20%。该措施需考虑成本增加问题，最终建造成本也将提升约20% - 分隔工作空间：将开放式办公区划分为3间规格一致的办公室，每间面积为110平方米，可容纳16名员工（总人数48/3），容量上限为20人（总容量60/3）。 - 优化自然通风：除卫生间外，所有区域开启窗户以提升室外空气供给，自然通风速率提升至5。 - 优化机械通风：提升空调系统的流量，设定过滤器效率为20%、管道空气移除率为10%且无额外移除措施。为建筑加装空调将使整体建造成本增加14%。 与政策相关的干预实验 - 员工轮班制度：该措施可降低每个房间内的在场人数。本实验中将总人数减少40%，即开放式办公区29人、IT办公室4人、每位主管办公室各1人，总人数合计36人。该措施同时会为企业带来不可量化的成本支出。 - 限制事件持续时长：将会议最长持续时长限定为30分钟，咖啡休息时间限定为5分钟，午餐时间限定为20分钟。 - 口罩使用要求：本场景下强制佩戴口罩，在办公室及会议室设定口罩过滤效率为0.75，卫生间为0.5，咖啡休息时段为0.3，午餐时段设为0，对应用餐时不佩戴口罩的场景。