Concepts of performance in post-occupancy evaluation post-probe: a literature review

Boissonneault, Alexandra; Peters, Terri

doi:10.1080/09613218.2022.2132906

Cited by 5 publications

(1 citation statement)

References 149 publications

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“…A good example of indoor localization that would likely provide valuable data for POE is the tracking of not only blood reserves, but also waiting times for patients and the movements of the elderly in hospital settings (Gholamhosseini et al ., 2019). Even if recent reviews have identified quantified space occupancy as a central part of Post-Occupancy Evaluation (Boissonneault and Peters, 2023; Elsayed et al ., 2023; Jiang et al ., 2022; Li et al ., 2018; Roberts et al ., 2019), there seems to be slow uptake of indoor localization research into POE research.…”

Section: Literature Reviewmentioning

confidence: 99%

People, space use and objects: an UWB-based quantifying approach for post-occupancy evaluation of new architectural spaces

Ege,

Aalto,

Steinert

2024

ECAM

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PurposeThis study was conducted to address the methodical shortcomings and high associated cost of understanding the use of new, poorly understood architectural spaces, such as makerspaces. The proposed quantified method of enhancing current post-occupancy evaluation (POE) practices aims to provide architects, engineers and building professionals with accessible and intuitive data that can be used to conduct comparative studies of spatial changes, understand changes over time (such as those resulting from COVID-19) and verify design intentions after construction through a quantified post-occupancy evaluation.Design/methodology/approachIn this study, we demonstrate the use of ultra-wideband (UWB) technology to gather, analyze and visualize quantified data showing interactions between people, spaces and objects. The experiment was conducted in a makerspace over a four-day hackathon event with a team of four actively tracked participants.FindingsThe study shows that by moving beyond simply counting people in a space, a more nuanced pattern of interactions can be discovered, documented and analyzed. The ability to automatically visualize findings intuitively in 3D aids architects and visual thinkers to easily grasp the essence of interactions with minimal effort.Originality/valueBy providing a method for better understanding the spatial and temporal interactions between people, objects and spaces, our approach provides valuable feedback in POE. Specifically, our approach aids practitioners in comparing spaces, verifying design intent and speeding up knowledge building when developing new architectural spaces, such as makerspaces.

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