Digital twin technology and sustainable construction logistics in Saudi Arabia: a conceptual model

Asiri, Arwa and Mayouf, Mohammad (2026) Digital twin technology and sustainable construction logistics in Saudi Arabia: a conceptual model. Scientific Culture, 12 (5.1). pp. 385-402. ISSN 2407-9529

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Abstract

The construction sector in Saudi Arabia faces complex logistical challenges, from extreme weather and intricate supply chains to the rapid pace of urban development. Traditional logistics approaches often lead to inefficiencies, delays, and higher costs. This research explores the role of Digital Twin in improve sustainable construction logistics in Saudi Arabia. Digital Twins enable real-time data analysis, improving decision-making and resource allocation, while predictive analytics can forecast demand, mitigate supply chain disruptions, and enhance inventory management. The study develops the S-Twin Model (Sustainability–Twin Model), tailored to the Saudi construction sector’s needs. Data from stakeholder surveys and project observations in-form strategies for supply chain optimization, efficient materials handling, and sustainable transport solutions. The proposed model supports dynamic adaptation and integration of sustainability goals, offering actionable insights for industry stakeholders. The aim is to establish a smart, sustainable logistics framework that drives efficiency, resilience, and environmental responsibility in construction.

Item Type:	Article
Identification Number:	10.5281/zenodo.12511032
Dates:	Date Event 1 April 2026 Accepted 30 April 2026 Published Online
Uncontrolled Keywords:	Construction, Logistics, Digital Twin, Sustainability
Subjects:	CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building
Divisions:	Architecture, Built Environment, Computing and Engineering > Architecture and Built Environment > Built Environment
Depositing User:	Gemma Tonks
Date Deposited:	14 May 2026 14:08
Last Modified:	14 May 2026 14:08
URI:	https://www.open-access.bcu.ac.uk/id/eprint/17049

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