Discussion highlights the enhanced capabilities of real-time digitalisation in building performance management, suggesting implications for future evaluation processes.
Real-time digitalisation refers to the continuous collection, integration, and analysis of operational building data, enabled by the integration of digital technologies into building management platforms. It is an advanced extension of building post-occupancy evaluation (POE) that transforms it from a static, retrospective evaluation process into a dynamic, data-driven methodology. In this entry, real-time digitalisation is discussed in relation to its role within the POE framework. The discussion includes a review of its evolution from early automation systems to contemporary cyber-physical infrastructures, supported by advanced analytics and machine learning. In addition, its dual benefits are highlighted as both a measurement tool and a decision-support system. Prevalent implementation complexities that limit its practicality in the building industry are also discussed. Real-time digitalisation is unlikely to replace conventional POE; instead, it broadens its capabilities, reconfiguring the process into a continuous, evidence-based building performance management process. The future relevance of real-time digitalisation to POE depends on its ability to become less technology-focused and more human-centric. Its infrastructure needs to align with occupant-subjective metrics, become more affordable, and increase its capacity to translate data into practical building management actions. As buildings become increasingly socio-technical systems, real-time digitalisation is emerging as a core methodological component of mainstream POE, with its importance spanning the entire lifecycle of buildings.
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Eziaku Onyeizu Rasheed (2026) studied this question.
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