Heritage Building Information Modeling (HBIM) is an essential technology for heritage documentation, conservation, and management. It enables people to understand, archive, advertise, and virtually reconstruct their built heritage. Creating highly accurate HBIM models requires the use of several reality capture tools, such as terrestrial laser scanning (TLS), photogrammetry, unmanned aerial vehicles (UAV), etc. However, the existing literature did not explicitly review the applications and impacts of TLS in implementing HBIM. This paper uses the PRISMA protocol to present a systematic review of TLS utilization in capturing reality data in order to recognize the status of applications of TLS for HBIM and identify the knowledge gaps on the topic. A thorough examination of the 58 selected articles revealed the state-of-the-art practices when utilizing static TLS technology for surveying and processing captured TLS data for developing HBIM models. Moreover, the absence of guidelines for using static TLS surveys for HBIM data acquisition, the lack of robust automated frameworks for producing/transferring 3D geometries and their attributes from TLS data to BIM entities, and the under-utilized application of TLS for long-term monitoring and change detection were identified as gaps in knowledge. The findings of this research provide stakeholders with a good grasp of static TLS for HBIM and therefore lay the foundation for further research, strategies, and scientific solutions for improving the utilization of TLS when documenting heritage structures and developing HBIM.

Sediment Barriers (SBs) are crucial for effective erosion control, and understanding their capacities and limitations is essential for environmental protection. This study compares the accuracy and effectiveness of Terrestrial Laser Scanning (TLS) and Robotic Total Station (RTS) techniques for quantifying sediment retention in SBs. To achieve this, erosion tests were conducted in a full-scale testing apparatus with TLS and RTS methods to collect morphological data of sediment retention surfaces before and after each experiment. The acquired datasets were processed and integrated into a Building Information Modeling (BIM) platform to create Digital Elevation Models (DEMs). These were then used to calculate the volume of accumulated sediment upstream of the SB system. The results indicated that TLS and RTS techniques could effectively measure sediment retention in a full-scale testing environment. However, TLS proved to be more accurate, exhibiting a standard deviation of 0.41 ft3 in contrast to 1.94 ft3 for RTS and more efficient, requiring approximately 15% to 50% less time per test than RTS. The main conclusions of this study highlight the benefits of using TLS over RTS for sediment retention measurement and provide valuable insights for improving erosion control strategies and sediment barrier design.

Heritage Building Information Modeling (HBIM) is increasingly utilized to develop accurate and semantic-rich databases for the representation, preservation, and renovation of cultural heritage. A critical factor in successful HBIM delivery is the intended uses of the model, which need to be established by stakeholders at the onset of the program. Despite the greater application of Building Information Modeling (BIM) technologies to HBIM workflows, the discipline continues to lack clarity regarding information requirements from a tenant perspective. The first stage of this research was a review of 26 published HBIM case studies to extract information including HBIM workflows, level of development (LOD) models in the field, and the stakeholders’ participation in the HBIM program. The findings from the case studies conclude that most HBIM methodologies did not seek to understand the needs of assumptive stakeholders and lacked a clearly defined objective. Ten interviews with proprietors of ten different historic courthouses in the southeastern United States were also included in the study, which were used to identify the priorities of HBIM programs from a built heritage stakeholder’s standpoint. These priorities were used in conjunction with reviewed field standards to develop LOD supplement guidelines applicable for HBIM, which were then validated through a case study. The findings of this research conclude that the creation of LOD guidelines for HBIM application is both achievable and advisable, as they allow stakeholders to identify their priorities for HBIM projects. Such guidelines would assist in standardizing the HBIM discipline and disseminating its usefulness to historic building managers. This research also provides standards that allow cultural heritage stakeholders to make informed decisions about potential HBIM programs and maximize the use of resources to implement such programs. Moreover, the methodology implemented in this research offers a valuable example for future studies on HBIM guidelines and regulations.

Heritage Building Information Modelling (or HBIM) is a multi-disciplinary process and a promising tool for the management and documentation of heritage structures. HBIM can record the significant historic events that have taken place in the built environment and is used to track the aging process of the built asset. However, the digital re-construction procedures for HBIM development associated with historic buildings are very challenging: the objects of the historic models consist of components whose heterogeneous, complex, and irregular characteristics and morphologies are not represented in the existing BIM software libraries. Unlike conventional BIM workflows for new constructions, the tried and tested tools and methods must be adapted, and even reinvented, for HBIM applications. This article introduces the basic concept of HBIM, a set of technological tools of data capture for HBIM model development, and a feasible HBIM workflow.

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