Buildings 2019 Best Paper Awards

Buildings is instituting the Best Paper Award to recognize outstanding papers published in the journal [...]

Buildings is instituting the Best Paper Award to recognize outstanding papers published in the journal. We are pleased to announce the Buildings Best Paper Award for 2019. Nominations were chosen from all papers published between 1 January 2019 and 31 December 2019. The Selection Committee examined each paper and expressed their preferences, releasing the ranking of the Buildings 2019 Best Paper Award.

A Review and Scientometric Analysis of Global Building Information Modeling (BIM) Research in the Architecture, Engineering and Construction (AEC) Industry (10.3390/buildings9100210) [1] By Ziwen Liu, Yujie Lu and Lu Chang Peh (Figure 1)
In the recent decade, Building Information Modeling (BIM) has widely been adopted in the Architectural, Engineering and Construction (AEC) industry and completely upended the way we build. While BIM continues to gain momentum in the industry, it has also attracted increasing attention from researchers. However, most of the current studies focus on reviewing BIM for management, BIM for green building and BIM for infrastructure. There are few studies about Global BIM review and to discuss their complex inter-connections. In this study, we adopted a scientometric analysis method to review global BIM research during 2004-2019. In total, 1455 scholarly bibliographic records obtained from Web of Science Core Collection database were established for the analysis. This study has identified the top productive and influential researchers, research institutes, regions/countries, subject categories and journals in the BIM field. In addition, 11 clusters of global BIM research were also identified including construction project, green BIM, construction safety planning, automated IFC-based workflow and so on. The authors distinguished the 11 clusters of global BIM research into three stages, namely formulating stage, accelerating stage and transforming stage. These findings provide valuable information for researchers, practitioners and policymakers by visualizing the current progress in the research field of BIM and highlighting future research needs.

DISCLAIMER
The information expressed in this editorial and article [1] are the authors' personal opinions and do not necessarily represent the official position of any organization. The authors shall not be liable for any reliance on or misinterpretation of any information contained in this editorial and the review article [1].

By Vojtěch Biolek and Tomáš Hanák (Figure 2)
Vojtěch Biolek is an assistant lecturer and Tomáš Hanák is an associate professor of Construction Economics and Management at the Brno University of Technology, Faculty of Civil Engineering, the Czech Republic. Our aim is to contribute to the dynamically developing area of construction sustainability, which has attracted much attention among the research community. In particular, our research responds to the stricter demands on the cost-effectiveness of construction and operation of buildings and reduction of their environmental impact. We believe that advanced applications of life cycle costing approach are key to supporting informed investment decisions at the early stages of construction projects. In our latest study, which was published in Buildings, we presented a methodology for building life cycle cost estimation that enables investors to identify the optimum material solution for their buildings on the level of functional parts. The novel approach is applied to the "Façade Composition" functional part, which is important, for example, in terms of the achieved thermal insulation properties of the building. In future, we intend to extend the methodology to other aspects, such as LCA estimation and its closer links to the Building Information Modeling platform.

BIM-based and AR Application Combined with Location-Based Management System for the Improvement of the Construction Performance (10.3390/build-ings9050118) [3] By Julia Ratajczak, Michael Riedl and Dominik T. Matt (Figure 3)
The research project initiated in the European project ACCEPT (www.accept-project.com accessed on 9 May 2021) was further carried out by Fraunhofer Italia and the Free University of Bozen-Bolzano (Italy) within the PhD program Sustainable Energy and Technologies.
This research project prposes a prototype of a BIM-based and AR application called the AR4C (Augmented Reality for Construction) that is combined with a location-based management system (LMBS) to improve the performance of construction works. The AR4C aims to improve aspects of construction performance such as productivity, quality of construction work and information flow. Productivity is enhanced by implementing the monitoring of construction works daily in a specific location unit of the project. The AR4C aims to enhance project control via the rapid identification of deviations from a project's schedule, as well as variations in performance and progress, by overlaying a 3D BIM model on the real world using AR. The quality of construction works is increased by providing context-specific information on tasks, building components and materials anytime and anywhere on the construction site. Construction works are verified by linking quality checklists to each construction task. Moreover, information flow is streamlined by displaying tailored information for each construction task through 3D models and lists of construction tasks. This paper describes the most important methods and technologies, which are required to develop the AR4C application. In particular, the data exchange between BIM software and the Unity environment is discussed, as well as the integration of LBMS into BIM software and AR4C. Finally, the implemented and planned functionalities are argued. The AR4C application prototype was tested in a laboratory environment and produced positive feedback. Since the application addresses construction sites, a validation in semi-real scenarios with end-users is foreseen.