Reusing high-value construction materials from existing buildings that otherwise would be
discarded as waste is a key strategy for achieving a circular economy. However, this …

Artificial intelligence and its subfields, such as machine learning, robotics, optimisation,
knowledge-based systems, reality capture and extended reality, have brought remarkable …

Passports for circularity, eg, digital product passports and material passports (MPs), have
gained recognition as essential policy instruments for the Circular Economy goals of the …

Digital technologies are considered enablers of circular economy implementation in the built
environment. Literature mainly focuses on conceptual or review studies examining the role …

The urban building stock has a high demand for materials and energy, exerting tremendous
pressure on natural resources. A current research trend is to integrate Building Material …

A geographic information system (GIS) stores, manipulates, analyses, and visualises spatial
data. GIS enables the map** of building elements and components and can optimise the …

In recent years, there has been a growing interest in adopting circular approaches in the
built environment, specifically reusing existing buildings or their components in new …

Artificial intelligence, and specifically the subfields of computer vision and machine learning,
has become a topic with great potential for predicting reuse patterns in the built environment …

To reduce reliance on virgin resources, the building material stock (BMS) serves as a source
for material recycling and reuse. However, quantifying BMS in urban areas with scarce …

Operating with an abundance mindset–rather than from a place of “scarcity”–is a new
paradigm, relevant to the practices of design and construction, which expands the definition …