Harnessing Artificial Intelligence for Sustainable Smart Construction: A PRISMA-Based Systematic Review: Memanfaatkan Kecerdasan Buatan untuk Pembinaan Pintar Mampan: Satu Kajian Sistematik Berasaskan PRISMA

Khoo Terh Jing; Chin Yee Ha

doi:10.37934/progee.31.2.101119

Authors

Khoo Terh Jing Department of Construction Project Management, School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia https://orcid.org/0000-0002-6442-1301
Chin Yee Ha Department of Construction Project Management, School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang, Malaysia https://orcid.org/0000-0003-3234-0571

DOI:

https://doi.org/10.37934/progee.31.2.101119

Keywords:

Artificial Intelligence, Construction, Digital Transformation, Smart Construction, Sustainable, Kecerdasan Buatan, Pembinaan, Transformasi Digital, Pembinaan Pintar, Mampan

Abstract

The construction industry is undergoing a significant technological transformation, with Artificial Intelligence (AI) playing a pivotal role in improving efficiency, sustainability, and decision-making. As complex projects evolve, traditional manual methods often lead to inefficiencies, delays, and increased safety risks. AI has emerged as a vital tool for optimizing construction processes, though there remains an incomplete understanding of its applications across various project stages. This study systematically identifies key AI applications that enhance smart construction throughout planning, design, execution, operation, and demolition phases. A Systematic Literature Review (SLR) was employed following the PRISMA framework, leading to the collection of 23 relevant articles from the Web of Science database. Descriptive and bibliometric analyses were conducted using VOSviewer to assess publication trends, research methodologies, geographical distribution, and the co-occurrence of AI-related keywords. Findings indicate that AI significantly aids in predictive analytics for risk assessment, generative design, construction monitoring, safety management, supply chain optimization, energy efficiency, and smart maintenance through digital twins. Furthermore, AI advances real-time site monitoring, waste sorting, and sustainability-driven deconstruction planning, which supports the implementation of the circular economy in construction. This study provides a structured overview of AI’s contribution to smart construction, offering insights to academics, policymakers, and industry professionals on driving the integration of AI in the built environment. The goal is to foster safer, more efficient, and sustainable construction practices in the future.

Industri pembinaan sedang mengalami transformasi teknologi, dengan Kecerdasan Buatan (AI) memainkan peranan penting dalam meningkatkan kecekapan, kemampanan, dan pembuatan keputusan. Seiring dengan peningkatan kompleksiti projek pembinaan, kaedah manual tradisional dan berasaskan pengalaman sering menyebabkan ketidakcekapan, kelewatan, lebihan kos, serta risiko keselamatan. AI telah muncul sebagai alat yang berkuasa untuk mengoptimumkan proses pembinaan, namun masih terdapat kekurangan pemahaman yang menyeluruh mengenai aplikasinya dalam pelbagai peringkat projek. Kajian ini bertujuan untuk mengenal pasti secara sistematik aplikasi utama AI dalam mempromosikan pembinaan pintar sepanjang fasa perancangan, reka bentuk, pelaksanaan, operasi, dan perobohan. Kajian Sistematik (SLR) telah dijalankan menggunakan rangka kerja PRISMA, dengan 23 artikel berkaitan diperoleh daripada pangkalan data Web of Science. Analisis deskriptif dan bibliometrik telah dilakukan menggunakan VOSviewer bagi meneliti trend penerbitan, metodologi penyelidikan, taburan geografi, serta kejadian bersama kata kunci berkaitan AI. Penemuan kajian menunjukkan bahawa AI memberikan sumbangan yang ketara dalam analitik ramalan untuk penilaian risiko, reka bentuk generatif, pemantauan pembinaan automatik, pengurusan keselamatan, pengoptimuman rantaian bekalan, kecekapan tenaga, serta penyelenggaraan pintar melalui kembar digital. Selain itu, AI juga meningkatkan pemantauan tapak secara masa nyata, penyisihan sisa, dan perancangan pembongkaran berorientasikan kemampanan, sekali gus menyokong ekonomi kitaran dalam industri pembinaan. Kajian ini menyumbang dengan menyediakan gambaran terstruktur mengenai peranan AI dalam pembinaan pintar, serta menawarkan pandangan bernilai kepada ahli akademik, pembuat dasar, dan profesional industri dalam mendorong integrasi AI di persekitaran binaan. Akhirnya, ini membawa kepada amalan pembinaan yang lebih selamat, cekap, dan mampan.

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