A Framework for Leveraging the Incorporation of AI, BIM, and IoT to Achieve Smart Sustainable Cities

 

Fawaz Saleh 1, *, Ashraf Elhendawi2, Abdul Salam Darwish2, Peter Farrell2

 

1 Al-Rasheed International Private University, Damascus, Syria

2 School of Civil Engineering and Built Environment, University of Bolton, Deane Rd, Bolton, BL3 5AB, UK.

Emails: fawaz-saleh@ru.edu.sy; ai1res@bolton.ac.uk; a.darwish@bolton.ac.uk; p.farrell@bolton.ac.uk

*Corresponding Author: fawaz-saleh@ru.edu.sy

Abstract

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.

 

Received: August 17, 2023 Revised: December 11, 2023 Accepted: January 19, 2024

 

Keywords: Design Optimization; Performance Simulation; Life Cycle Sustainability; Operational Efficiency; Environmental Impact; AI Innovation; AI-based BIM