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Special Issue "Construction Digitisation: Unlocking Value from Emerging Digital Technologies and Data for Enhanced Sustainability, Agility and Resilience"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: 31 March 2023 | Viewed by 4095

Special Issue Editors

School of Engineering and Built Environment, Griffith University, Parklands Drive, Southport, QLD 4222, Australia
Interests: digital engineering; digital information asset management; simulation of engineering and construction systems; modular; pre-fabrication construction; virtual building; BIM; lifecycle visualisation; user experience and the IoT; value engineering and agile project management methodologies
School of Engineering and Built Environment, Griffith University, Parklands Drive, Southport, QLD 4222, Australia
Interests: digital engineering; building information modelling; digital information asset management; digital utility transformation; smart or intelligent water and energy metering; intelligent sensor networks; remote sensing
Special Issues, Collections and Topics in MDPI journals
Faculty of Architecture, Building and Planning, Melbourne School of Design (MSD), The University of Melbourne, Melbourne, VIC 3010, Australia
Interests: construction quality; blockchain and IoT applications in construction; construction defects
School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia
Interests: construction compliance; construction work health and safety management; BIM
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Unrelenting urbanisation and economic development will heighten demand for construction activities. This demand requires new thinking approaches on sustaining the limited construction resources from a circular economy perspective. However, despite significant productivity gains in other industry sectors, the construction industry remains a laggard industry due to various issues, including increasing project complexity, constrained finances, traditional construction procurement methods, and poor uptake of digital technologies (DT). Moreover, the ongoing COVID-19 pandemic has caused notable challenges to global and local construction supply chains and productivity, thereby stimulating discussion about resilience and agility to overcome disruptions. A sustainable, resilient, and agile construction supply chain is achieved through a greater deployment level of DT and access to information (AtI). The deployment of digital tools and data-driven solutions (e.g., sensors, BIM, digital twin, track-and-trace) unleashes value-driven data insights and analytics. This supports construction organisations’ trajectory towards achieving sustainability goals, attracts and retains talents, and develops new business models.

DT and AtI must be integrated across the construction supply chain from the business vision/strategy to development, innovations, operations, and projects. For example, digital sensors connect site activities to the digital world, while value-driven data and analytics inform better decision-making processes across the supply chain. The integration enables construction companies to cope with disruptions and build organisational and operational agility and resilience. Furthermore, the utilisation of DT and AtI supports construction organisations’ developing and enhancing their sustainability strategies by monitoring, measuring, and managing their processes in the path to sustainability goals (e.g., net zero). Although some organisations have launched various initiatives to leverage digital technologies and data analytics, more knowledge needs to be created that addresses the role of DT and AtI in enhancing the capabilities and performance of the construction supply chain.

Aims, scope and potential topics

This Special Issue invites submissions that explore construction digitisation topics related to achieving the sustainability, resilience, and agility of construction supply chains and operational activities. We welcome studies covering conceptual, strategic or operational employment of DT and/or AtI across the construction supply chain. We encourage submissions that adopt novel concepts and methods, including case studies, qualitative comparative analyses of multiple cases, and various quantitative methods.

Potential topics include but are not limited to the following:

  • Digitisation role in building supply chain sustainability, resilience, and agility;
  • Value-driven data and predictive analytics applications for environment-aware decision making in construction;
  • Applications of digital tools and solutions in the hybrid (WFH and working from office) working models;
  • Business models for improved performance built on machine learning and artificial intelligence;
  • Digital concentration and inequality among large organisations and SMEs;
  • Prefabrication and digital fabrication to unlock manufacturing and standardisation features, and accelerate end-to-end project delivery;
  • IoT of sensors and systems that enhance buildings performance and compliance;
  • Requirements of data usage and cybersecurity in buildings and infrastructures;
  • Cloud-based collaborations in construction projects;
  • Scan-to-BIM and approaches for digital twin creation and updating;
  • Efficient project delivery with digital technologies;
  • Agility and resilience benefits using digital technologies;
  • Knowledge management benefits/risks of producing volumes of construction-related data;
  • Knowledge network and modelling for facilitation of digital twin;
  • Use of historical data in engineering, procurement, and construction bidding and contract documentations;
  • Employees awareness of and skills in utilising digital tools.

Dr. Sherif Mostafa
Prof. Dr. Rodney Stewart
Dr. Vidal Paton-Cole
Dr. Payam Zekavat
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • construction digitisation
  • digital sustainability
  • supply chain resilience and agility
  • data mining and predictive analytics
  • prefabrication and digital fabrication
  • digital twin
  • knowledge network modelling
  • cloud-based collaborations
  • business models and value of data

Published Papers (3 papers)

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Research

Article
Enriching BIM with Unmanned Aerial Systems Data for Enhancing Construction Management Operations
Sustainability 2022, 14(18), 11362; https://doi.org/10.3390/su141811362 - 10 Sep 2022
Viewed by 819
Abstract
The use of an unmanned aerial system (UAS) in construction project management (CPM) is an emerging methodology aimed at improving the performance of project management practices. Despite the different functions that an UAS offers, which are well covered in various sources ranging from [...] Read more.
The use of an unmanned aerial system (UAS) in construction project management (CPM) is an emerging methodology aimed at improving the performance of project management practices. Despite the different functions that an UAS offers, which are well covered in various sources ranging from isolated exploratory works to ad hoc case studies, construction practitioners still demonstrate little interest in UAS technology. The underwhelming interest is rooted in a lack of an understanding of the value of the data collected using UASs and their potential to enrich Building Information Modelling (BIM). This research presents the details of the UAS developed to check the accuracy of work performed, along with the generation of the corresponding progress payment reports as well as referencing and tracking information in real time, for a residential project. This study also discusses combining the data generated from the UAS and 5D BIM to develop a smart construction site. The UAS–BIM combination enables the project stakeholders to be fully informed of the work’s progress and quality to avoid mistakes that could lead to extra costs and delays. The paper identified the main obstacles to applying the UAS via interviews with the project managers and tradespersons involved in the selected project. Assuredly, a digital culture is essential for a smart construction site to shift the project team from a passive data user to a more proactive analyzer to improve performance and site safety. Other obstacles include ethical reservations, legal requirements, liability risks, weather conditions, and the continuation of using an UAS in non-open-air construction environments. Full article
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Article
Field Applicability of Earthwork Volume Calculations Using Unmanned Aerial Vehicle
Sustainability 2022, 14(15), 9331; https://doi.org/10.3390/su14159331 - 29 Jul 2022
Cited by 3 | Viewed by 1172
Abstract
The earthwork volume must be calculated as accurately as possible for economical construction and cost savings. In particular, when calculating the areas and volumes of irregular curved terrains such as mountains, reservoirs, lakes, and coasts, the vertical assumptions for the boundary equation must [...] Read more.
The earthwork volume must be calculated as accurately as possible for economical construction and cost savings. In particular, when calculating the areas and volumes of irregular curved terrains such as mountains, reservoirs, lakes, and coasts, the vertical assumptions for the boundary equation must be rationally and systematically established. This study focuses on earthwork volume calculation technology using UAV (unmanned aerial vehicle). UAV can be used for various types of work, including checking the progress of construction at construction sites and calculating the earthwork volume for large areas. However, earthwork volume calculation technology using UAV is inefficient in terms of information production, management, and reuse because the quantitative guidelines for UAV operations are insufficient, and the output quality, analysis method, and analysis results differ. To solve these problems, the authors investigated an earthwork volume calculation method for construction sites that use UAV to automate the on-site calculation of construction errors and support an on-site monitoring system using building information modeling (BIM). To calculate the earthwork volume of the target site, a chain method with a planned plane map based on the average end-area method was used as a representative earthwork volume calculation method. The digital surface model method was applied to review the optimization of the earthwork volume calculation using UAV. This study is a process of analyzing construction data, and aims to strengthen the linkage of 3D data and provide construction management information specialized in excavation work. Through this earthwork analysis using UAV, it is possible to intuitively review the progress of earthwork in 3D by linking the current site with the planned plane. Full article
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Article
Digitisation of Existing Water Facilities: A Framework for Realising the Value of Scan-to-BIM
Sustainability 2022, 14(10), 6142; https://doi.org/10.3390/su14106142 - 18 May 2022
Cited by 1 | Viewed by 1057
Abstract
Building information modelling (BIM) has been implemented in many utility-based organisations worldwide, and it has proved to provide substantial cost- and time-saving benefits and improved performance and asset management especially during the operations and maintenance (O&M) phase. BIM adoption and implementation success rely [...] Read more.
Building information modelling (BIM) has been implemented in many utility-based organisations worldwide, and it has proved to provide substantial cost- and time-saving benefits and improved performance and asset management especially during the operations and maintenance (O&M) phase. BIM adoption and implementation success rely on the accurate asset information stored in BIM models, mainly for existing assets. However, the asset information stored in asset management systems is often inaccurate, incomplete, out of date, duplicated or missing. Capturing the accurate as-is conditions of existing buildings has become feasible with the recent advancement of point cloud from 3D laser-scanning, resulting in a shift from ‘as-designed’ BIM to ‘as-constructed’ BIM. The potential benefits of using as-constructed BIM models for facility operations are compelling. This paper identifies the cost and benefit elements of the scan-to-BIM process as part of a case study research project at a water treatment plant (WTP) in South East Queensland, Australia. The paper develops association mapping between the cost and benefit elements for relevant stakeholders and identifies the critical asset information for effectively managing the WTP case selected. Furthermore, the paper investigates the impact of various levels of detail (LOD) and levels of information (LOI) on BIM applications depending on the project and asset requirements. Finally, this paper presents a framework that water asset owners and stakeholders can utilise to obtain value from investing in scan-to-BIM for existing facilities. Full article
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