From Building Materials to Environmental Management: Optimization of Building Recycling and Reuse Strategies Based on Life Cycle Assessment

In this paper, the recycling and reuse practices for building materials will be optimised by applying Life Cycle Analysis (LCA), Geographic Information System (GIS), and Artificial Intelligence (AI) to build sustainable buildings. Assessing the environmental footprint throughout the lifecycle, LCAs approach highlights high-impact materials and recommends lighter-footprint alternatives. GIS can help map recycling sites and distribution networks to cut emissions and streamline material recyclage logistics. Additionally, AI models are used to forecast material degrading which will improve sorting efficiency and minimise human error during recycling. Study findings prove the need for an integrated strategy, where LCA provides environmental information, GIS facilitates logistics, and AI ensures recycling accuracy. According to the results, this multi-faceted system has the potential to revolutionise construction by reducing waste, reducing emissions and driving sustainable development. The research concludes with practical take-home lessons for industry adoption and research priorities that will enable the global transition to sustainable building