From physical to virtual: developing a framework for sustainable historic building management and preservation utilising LiDAR and virtual modelling

Pidduck, A ORCID: https://orcid.org/0000-0002-7439-3375, 2024. From physical to virtual: developing a framework for sustainable historic building management and preservation utilising LiDAR and virtual modelling. PhD, Nottingham Trent University.

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Abstract

Heritage serves as the foundation of contemporary life, intertwining cultural, historical, intangible and tangible elements that define societal identities. Effective management of historic assets demands proactive strategies to preserve their authenticity and significance within urban context. As outlined by the UK National Planning Policy Framework (NPPF), heritage significance lies in its value to present and future generations. Heritage conservation operates within a complex framework of laws, principles, and ethics, requiring strategic planning, stakeholder engagement, and interdisciplinary collaboration to ensure assets are preserved for future generations.

Managing heritage assets, which are complex, multifunctional, and diverse, presents significant challenges and requires an understanding of their form, materials, history, and archaeological context. Preserving authenticity and cultural significance while planning for sustainable futures requires informed interventions. Understanding the asset's lifecycle, methodologies, and stakeholder engagement is crucial. investigative Effective management strategies must navigate constraints, including the asset's characteristics, ethical and political imperatives, and stakeholder interests.

The aim of the research is to develop a framework for utilising LiDAR and virtual modelling technologies in the management of historic building data to support the sustainable preservation and management of heritage assets. Three case studies were identified and secured to iteratively explore the objectives.

The methodology evolved from practical advancements to a more analytical application of theoretical frameworks. Grounded in a subjectivist inductive approach, theory emerged directly from the research data, enabling a nuanced understanding of heritage asset management. Despite challenges, this approach fostered a systematic, replicable method, ultimately enhancing sustainable heritage management through the integration of LiDAR and virtual modelling technology, thereby advancing both theoretical and practical knowledge in the field.

Empirical research and case studies have shifted the digital model’s role from supportive to central, emphasising its dynamic nature. The model captures data at all project stages and adapts to changes, aligning with guidelines from the Construction Leadership Council (2024). This approach enhances the accuracy, accessibility, and relevance of the model enhancing understanding, planning, and preservation efforts. Active stakeholder engagement in data retrieval and contribution links cultural significance to management strategies, fostering mutual understanding and informed decision-making. Case studies demonstrate its application in capturing and disseminating significant information, guiding interventions, and fostering sustainable practices.

The framework provides a robust, ethical approach to heritage conservation, supporting informed decision-making and preserving the socio-economic benefits of heritage assets. The flexibility and comprehensive data support make the framework a valuable tool for maintaining the significance and sustainability of cultural heritage assets. It introduces a novel, data-driven method, emphasising asset significance and proactive management. The research demonstrates that the dynamic digital model effectively supports heritage management by clarifying information flow. Testing digital outputs with stakeholders underscores the importance of engagement and knowledge dissemination in enhancing both the management and appreciation of heritage assets.

The research effectively achieved its primary objectives, yet there are several areas where further exploration could add depth to specific elements. These include testing the framework in live projects, refining data collection methods, and incorporating a broader range of stakeholder feedback. Addressing these areas would enhance the robustness and applicability of the digital models in heritage management, ensuring that they continue to evolve in line with industry needs and technological advancements.

Item Type:	Thesis
Description:	Abridged version
Creators:	Pidduck, A.
Contributors:	Name Role NTU ID ORCID Wu, S. Thesis supervisor CON3WUS https://orcid.org/0000-0002-5633-2229 Abdelmonem, G. Thesis supervisor ACH3ABDELMMG https://orcid.org/0000-0002-8271-0924 White, M. Thesis supervisor PMD3WHITEM https://orcid.org/0000-0001-7508-7882
Date:	November 2024
Rights:	The copyright in this work is held by the author. You may copy up to 5% of this work for private study, or personal, non-commercial research. Any re use of the information contained within this document should be fully referenced, quoting the author, title, university, degree level and pagination. Queries or requests for any other use, or if a more substantial copy is required, should be directed to the author.
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Jeremy Silvester
Date Added:	12 Mar 2026 09:57
Last Modified:	12 Mar 2026 09:57
URI:	https://irep.ntu.ac.uk/id/eprint/55397

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