Ocupado

Understanding how spaces in buildings are being used is vital for optimizing space utilization, for improving resource allocation, and for the design of new facilities. We present a multi-year design study that resulted in Ocupado, a set of visual decision-support tools centered around occupancy data for stakeholders in facilities management and planning. Ocupado uses WiFi devices as a proxy for human presence, capturing location-based counts that preserve privacy without trajectories. We contribute data and task abstractions for studying space utilization for combinations of data granularities in both space and time. In addition, we contribute generalizable design choices for visualizing location-based counts relating to indoor environments. We provide evidence of Ocupado's utility through multiple analysis scenarios with real-world data refined through extensive stakeholder feedback, and discussion of its take-up by our industry partner.

深入理解建筑空间的使用情况对于优化空间利用率、提升资源配置以及新设施的设计至关重要。本研究团队历时数年开展设计研究，最终推出了 Ocupado —— 一套以占用数据为核心，旨在为设施管理和规划领域利益相关者提供视觉决策支持工具的系列工具。Ocupado 通过 WiFi 设备作为人类存在的代理，捕捉基于位置的计数数据，同时保护隐私并避免轨迹追踪。本研究为探讨空间利用率的时空数据粒度组合提供了数据和任务抽象。此外，我们还贡献了通用的可视化设计选择，用于展示与室内环境相关的基于位置的计数。通过多个分析场景和真实世界数据的广泛利益相关者反馈的精细化处理，我们提供了 Ocupado 效用性的证据，并讨论了其在我们行业合作伙伴中的采纳情况。