One of the potential positive aspects of spaces designed to support Activity-Based Working (ABW) concept is to allow people to choose to work from zones that suit their Indoor Environmental Quality (IEQ) preferences. The vast majority of studies reporting findings relevant to IEQ performance of ABW spaces rely on spot measurements and/or subjective surveys and as such it is difficult to map longitudinal actual utilisation patterns and IEQ performance. This study contributes to this topic by analyzing a longitudinal dataset of space utilisation of an ABW over a twelve-month period. Analysis aims to identify overlaps between space utilisation patterns and expected IEQ performance in order to understand which types of zones occupants seem to prefer to work from. Occupants’ demographics (age and gender) were also analyzed with respect to the use of space. Further, specific physical markers were investigated, namely proximity to window, air-conditioning outlets, and high-low noise locations. The impact of physical markers on workplace choice was classified and predicted during a day using a decision-tree diagram developed on the basis of the CHAID algorithm. Overall, workers tended to choose to work within the inner zones (after 11 a.m.) during winter. Findings show that female workers moved away from air-conditioning outlets. Additionally, female workers worked from workstations situated in high and medium noise zones. Results illustrated the potential to use utilisation datasets to understand how workers move away or towards zones in response to expected IEQ performance - thermal comfort (cold/warm), acoustics (noisy/quiet), and access to the outdoor environment/view (window) proximity.

旨在支持基于活动的工作 (ABW) 概念的空间的潜在积极方面之一是允许人们选择在适合其室内环境质量 (IEQ) 偏好的区域工作。绝大多数报告与 ABW 空间 IEQ 性能相关的研究结果都依赖于现场测量和/或主观调查，因此很难绘制纵向实际使用模式和 IEQ 性能。本研究通过分析 ABW 在 12 个月期间的空间利用纵向数据集，为该主题做出了贡献。分析旨在确定空间利用模式和预期 IEQ 性能之间的重叠，以便了解居住者似乎更喜欢从哪些类型的区域工作。还就空间的使用分析了居住者的人口统计数据（年龄和性别）。此外，还研究了特定的物理标记，即靠近窗户、空调出口和高低噪音位置。使用基于 CHAID 算法开发的决策树图在一天内对物理标记对工作场所选择的影响进行分类和预测。总体而言，工人在冬季倾向于选择在内部区域（上午 11 点之后）工作。调查结果显示，女工远离空调出口。此外，女工在位于高噪音区和中等噪音区的工作站工作。结果说明了使用利用率数据集来了解工人如何离开或移向区域以响应预期的 IEQ 性能 - 热舒适度（冷/暖）的潜力，