Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management

The construction sector is a major generator of solid waste, with construction and demolition waste (CDW) posing significant challenges to sustainable resource management. Accurate quantification is vital for achieving circular economy and waste reduction goals; however, traditional estimation methods remain manual, fragmented and inconsistent. This state-of-the-art review synthesizes developments in automation and digital technologies that are transforming CDW quantification and management. A total of 125 peer-reviewed articles published between 1993 and 2025 were systematically analysed to identify trends, methods and emerging tools. Advances across artificial intelligence, computer vision, building information modelling and the Internet of Things are categorized, focusing on automated waste recognition, volumetric estimation and real-time monitoring. Persistent challenges, including limited dataset diversity, model generalization, interoperability and implementation cost, are critically examined. By linking technological innovation with practical waste management, this review highlights how automation can enhance efficiency, traceability and sustainability in the construction industry's transition towards circular practices.

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Publication Details

Journal
Waste Management & Research The Journal for a Sustainable Circular Economy
Published
2026-04-21
DOI
https://doi.org/10.1177/0734242x261441094
Primary Topic
Recycled Aggregate Concrete Performance
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management

Osama Mohsen, Pablo Martı́nez, Moinul Haq, Mohamed T. Elnabwy
Waste Management & Research The Journal for a Sustainable Circular Economy
Recycled Aggregate Concrete Performance
article

Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management

Osama Mohsen, Pablo Martı́nez, Moinul Haq, Mohamed T. Elnabwy
article en

Abstract

The construction sector is a major generator of solid waste, with construction and demolition waste (CDW) posing significant challenges to sustainable resource management. Accurate quantification is vital for achieving circular economy and waste reduction goals; however, traditional estimation methods remain manual, fragmented and inconsistent. This state-of-the-art review synthesizes developments in automation and digital technologies that are transforming CDW quantification and management. A total of 125 peer-reviewed articles published between 1993 and 2025 were systematically analysed to identify trends, methods and emerging tools. Advances across artificial intelligence, computer vision, building information modelling and the Internet of Things are categorized, focusing on automated waste recognition, volumetric estimation and real-time monitoring. Persistent challenges, including limited dataset diversity, model generalization, interoperability and implementation cost, are critically examined. By linking technological innovation with practical waste management, this review highlights how automation can enhance efficiency, traceability and sustainability in the construction industry's transition towards circular practices.

Waste Management & Research The Journal for a Sustainable Circular Economy
King Fahd University of Petroleum and Minerals (SA), Northumbria University (GB)
British Council, King Fahd University of Petroleum and Minerals
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Recycled Aggregate Concrete Performance
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Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management — Osama Mohsen, Pablo Martı́nez, et al. · Waste Management & Research The Journal for a Sustainable Circular Economy (2026) | TGRS Research Map | TGRS