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A framework for leveraging the incorporation of AI, BIM, and IoT to achieve smart sustainable cities
Journal article   Open access   Peer reviewed

A framework for leveraging the incorporation of AI, BIM, and IoT to achieve smart sustainable cities

Fawaz Saleh, Ashraf Elhendawi, Abdul Salam Darwish and Peter Farrell
Journal of Intelligent Systems and Internet of Things, Vol.11(2), pp.75-84
24/01/2024

Abstract

Design Optimization Performance Simulation Life Cycle Sustainability Operational Efficiency Environmental Impact AI Innovation AI-based BIM
This study investigates the significance of leveraging the incorporation of Artificial Intelligence (AI), Building Information Modeling (BIM), and the Internet of Things (IoT) to Achieve smart sustainable cities. Understanding their applications for Architecture, Engineering, and Construction (AEC) projects. The study encompasses three key dimensions: Design Optimization and Performance Simulation, Material and Life Cycle Sustainability, and Operational Efficiency and Environmental Impact. By leveraging BIM and AI, the research explores the integration of renewable energy, sustainable material selection, and smart building controls. BIM and AI experts were given a structured questionnaire, which was then analysed using SPSS. Descriptive and correlation analyses reveal significant positive correlations between energy efficiency and design visualization, construction sustainability visualization, as well as adaptability and education through visualization. The proposed framework deepens the capabilities of the combination of different technologies towards Smart Sustainable Cities. This work not only contributes theoretical insights to the field but also provides practical implications for industry professionals striving to enhance sustainable practices in AEC projects. Further studies to encourage a combination of other recent technologies to improve smart sustainable cities' performance.
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