With the rapid development of digital twins within the architecture, engineering and construction (AEC) sector, digital twin-enabled research and applications have increasingly been attracting more attention in both academia and practice. The digital twin can integrate artificial intelligence, machine learning and data analytics to create dynamic digital representations that are able to learn and update the status of their physical counterparts from a number of sources. Building on the previous chapters, this chapter discusses the next stage of digital twin-built environments. The findings will contribute to inspiring novel research ideas and promoting the widespread adoption of digital twins in the construction industry.

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