The uptake of digital twins in delivering infrastructure sector projects

Sohal, K; Renukappa, S; Suresh, S; Georgakis, P and Stride, N (2025) The uptake of digital twins in delivering infrastructure sector projects. Smart and Sustainable Built Environment, 14(3), pp. 794-809. ISSN 2046-6099

Abstract

Purpose: The anticipated strong growth of the infrastructure industry over the coming decades will require more modern, digital approaches to create data-centric infrastructure that allows infrastructure to be monitored and managed throughout its lifecycle. Digital twins (DTs) are currently at an early stage in terms of their implementation on infrastructure projects across the United Kingdom (UK). The purpose of this paper is to evaluate the current uptake of DTs in delivering infrastructure sector projects and how DTs can help contribute towards strengthening the industry. Design/methodology/approach: A systematic literature review approach has been conducted with the research questions derived from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) article screening tool. In addition to this, inclusion and exclusion criteria have been used to screen irrelevant information and help streamline research documents. Following a screening of relevant information, 36 pieces of literature were reviewed in order to identify the key drivers, barriers, enabling technologies and use cases. Findings: DTs have the potential to transform asset design, production and maintenance. However, to further advance the digital innovation in the UK infrastructure sector, further study is necessary. An emerging technology must be considered on a broader scale than just its technical aspects, particularly when it comes to DTs. With enabling technologies such as the Internet of Things (IoT), sensors and artificial intelligence (AI), the uptake of DTs appears promising. While current literature indicates that DTs offer clear benefits in the infrastructure sector, the uptake is low and hindered by both technical and non-technical challenges. Originality/value: This paper provides a rich insight into the understanding and awareness of the DTs in delivering infrastructure sector projects and how the infrastructure sector has evolved in order to develop new ways of designing, constructing, operating and monitoring infrastructure assets. This study contributes towards informing leaders in the sector of the current uptake of DTs within the UK's infrastructure sector as well as how DTs can contribute towards strengthening the industry.

Item Type: Article
Uncontrolled Keywords: artificial intelligence; digital twins; digitalisation; infrastructure sector
Index terms: monitoring, strengthening, systematic literature review, internet, screening, emerging technology, documents, digitalization, implementation, infrastructure sector, digital twin, methodology, infrastructure project, United Kingdom, meta-analysis, artificial intelligence, lifecycle
Subjects: Geography, contractual arrangements, structural engineering, professional development, control systems, project delivery, research methods, research evaluation and metrics, computing systems, infrastructure and transport systems, industry analysis, digital technology, management, artificial intelligence, innovation and technology management, digital engineering
Topics: Information Management, Digital Applications, Human Resources, Site Management, Engineering Principles, Geographical Context, Procurement, Research Practice, Project Management
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here