Exploring the value of digital twins for information management in highway asset maintenance

Yin, M; Reja, VK; Wei, R; Brilakis, I; Sheil, B; Perrotta, F; Marie d'Avigneau, A; Lu, L

Exploring the value of digital twins for information management in highway asset maintenance

Yin, M Reja, VK Wei, R Brilakis, I Sheil, B Perrotta, F Marie d'Avigneau, A Lu, L

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Developments in the Built Environment, 2025, 21
Issue Date:: 2025-03-01

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Field	Value	Language
dc.contributor.author	Yin, M
dc.contributor.author	Reja, VK
dc.contributor.author	Wei, R
dc.contributor.author	Brilakis, I
dc.contributor.author	Sheil, B
dc.contributor.author	Perrotta, F
dc.contributor.author	Marie d'Avigneau, A
dc.contributor.author	Lu, L
dc.date.accessioned	2026-02-09T03:37:22Z
dc.date.available	2026-02-09T03:37:22Z
dc.date.issued	2025-03-01
dc.identifier.citation	Developments in the Built Environment, 2025, 21
dc.identifier.issn	2666-1659
dc.identifier.issn	2666-1659
dc.identifier.uri	http://hdl.handle.net/10453/193067
dc.description.abstract	Highway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based on a Foundation Data Model, Reference Data Libraries, and Integration Architecture. However, it is currently unclear how DT models of highway infrastructure systems based on a connected data ecosystem can be used in maintenance and how they benefit stakeholders. This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Developments in the Built Environment
dc.relation.isbasedon	10.1016/j.dibe.2025.100614
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	3302 Building
dc.subject.classification	4005 Civil engineering
dc.title	Exploring the value of digital twins for information management in highway asset maintenance
dc.type	Journal Article
utslib.citation.volume	21
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.updated	2026-02-09T03:37:19Z
pubs.publication-status	Published
pubs.volume	21

Abstract:

Highway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based on a Foundation Data Model, Reference Data Libraries, and Integration Architecture. However, it is currently unclear how DT models of highway infrastructure systems based on a connected data ecosystem can be used in maintenance and how they benefit stakeholders. This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.

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http://hdl.handle.net/10453/193067