Submit to Buildings Review for Buildings Propose a Special Issue

Journal Menu

Journal Browser

Advances in Digital Construction Management

Special Issue Editors
Special Issue Information
Keywords
Benefits of Publishing in a Special Issue
Published Papers

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (20 November 2024) | Viewed by 13963

Share This Special Issue

Special Issue Editors

Dr. Silvia Mastrolembo Ventura

E-Mail Website
Guest Editor

Department of Civil, Environmental, Architectural Engineering and Mathematics (DICATAM), University of Brescia, 25123 Brescia, Italy
Interests: process management; digital innovation; design management; construction management

Prof. Dr. Angelo Luigi Camillo Ciribini

E-Mail Website
Guest Editor

Special Issue Information

Dear Colleagues,

Relevant developments within the field of digital construction management have been proposed in recent years to solve the industry’s challenges regarding the effectiveness of project planning, monitoring and controlling activities, as well as resource management, timely data collection, communication, and the distribution of readily and reliable information.

Some of the critical nodes regarding adopting digital solutions have been recognised as a lack of digital culture and maturity of organisations—from both the demand and supply sides—and the scalability of digital transition; for example, construction SMEs could face barriers when innovating their processes due to budget constraints and the complexity of available digital solutions. At the same time, various sources in the construction phase (including both off-site and on-site construction) provide data from different structured and unstructured formats, including building information modelling, project management applications, sensing technologies, wearable devices, mobile technologies, and so forth. Although significant efforts have been made to digitise construction management, there are still unresolved problems and associated difficulties, such as those in relation to data management.

Therefore, it is evident that the topics dealing with digital construction management entail several challenges and provide the opportunity to research multidisciplinary issues in relation to both technical and process-related factors. Journal articles could cover research topics including construction scheduling, construction work progress monitoring and forecasting, cost analysis, construction quality management, and digital change management. A further domain to be investigated could deal with the role to be played by digital construction management in front of the sustainable and circular economy, also comprehending the compliance with the ESG criteria. For such cases, articles could also discuss the application of solutions and approaches such as, though not limited to, building information modelling, advanced data analytics, linked data, digital twins, extended reality, and sensing technologies.

The Special Issue aims to represent the latest developments in relation to digital construction management and identify potential areas for future research.

Dr. Silvia Mastrolembo Ventura
Prof. Dr. Angelo Luigi Camillo Ciribini
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. Buildings is an international peer-reviewed open access monthly 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 2600 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

digital construction management
digital change management
construction scheduling
construction work progress monitoring and forecasting
quality management
building information modelling
digital twins in construction
extended reality
Internet of Things
data analytics
linked data approaches
digital surveying and mapping technology

Benefits of Publishing in a Special Issue

Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (9 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

Jump to: Review

18 pages, 466 KiB

Open AccessArticle

Construction Project Organizational Capabilities Antecedent Model Construction Based on Digital Construction Context

by Qian Hu, Yonghong Chen, Linling Gao and Chenyongjun Ding

Buildings 2024, 14(11), 3471; https://doi.org/10.3390/buildings14113471 - 30 Oct 2024

Viewed by 514

Abstract

In the context of high-quality development and the digital age, digital technology-enabled construction projects have become the only choice to promote organizational capabilities and innovation. However, the micro foundation of the organizational capabilities of construction projects has not been clarified, and its formation path is even less clear. This paper focuses on the characteristics of the times when digital technology and engineering construction are deeply integrated, conducts in-depth research on typical projects in the context of digital construction, and uses the qualitative research method of grounded theory to explore the antecedents of the formation of organizational capabilities. The results of the study establish a systematic antecedent model framework, including value integration, data traction, resource integration, technology integration, digital collaboration, and digital routines, and find out the “black box” process of the formation of construction project organizational capacities under the digital construction context. The conclusion of this study provides a theoretical basis and practical enlightenment for the construction of organizational capabilities of construction projects to cope with technological turbulence. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

27 pages, 4356 KiB

Open AccessArticle

Visual versus Tabular Scheduling Programs

by Tanmay Zakaria Tuscano and Bita Astaneh Asl

Buildings 2024, 14(10), 3084; https://doi.org/10.3390/buildings14103084 - 26 Sep 2024

Viewed by 734

Abstract

Effective scheduling in construction is crucial for ensuring timely project completion and maintaining budget control. Scheduling programs play an important role in this process by providing digital tools to develop, monitor, and adjust project timelines effectively. In the industry’s current method of practice, tabular scheduling programs are utilized that require users to enter task information and their relationships in a tabular format. Recently, a new scheduling program approach called visual scheduling has emerged that requires users to draw the network diagram to create the schedule. This paper presents an experimental study that evaluated the efficiency of schedule creation using a visual scheduling program compared to two tabular scheduling programs. The results show that the time spent creating a schedule using the visual scheduling program was significantly shorter than using tabular scheduling programs. Participants found visual scheduling easier to define tasks, define correlations, spot mistakes in the schedule, make changes to the schedule, and understand the overall schedule. The majority of the participants reported visual scheduling as a tool that allowed them to create schedules faster. They also found it to be a more intuitive scheduling tool and a method that can reduce the possibility of making mistakes during scheduling. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

32 pages, 7628 KiB

Open AccessArticle

Building Digital Twins to Overcome Digitalization Barriers for Automating Construction Site Management

by Jorge Torres, Rosa San-Mateos, Natalia Lasarte, Asier Mediavilla, Maialen Sagarna and Iñigo León

Buildings 2024, 14(7), 2238; https://doi.org/10.3390/buildings14072238 - 20 Jul 2024

Viewed by 1874

Abstract

Construction sites are highly unpredictable environments involving a wide variety of stakeholders with complex information exchanges, which lead to the well-known inefficiencies and unproductivity of the construction sector. The adoption of Building Digital Twins (BDT) in the construction site is a promising solution to this issue, by automating data acquisition and knowledge extraction processes and providing what-if scenario simulation capabilities. Furthermore, the current research sets the principles to define, replicate, and scale-up the architecture of a Building Digital Twin Platform (BDTP), conceived as a scalar ecosystem, which allows to seamlessly manage on-site construction processes, integrating cross-cutting domains for the construction site optimization (Progress monitoring, Quality control, Operational Health and Safety, Equipment control, and Production planning). The starting point of the research is a comprehensive diagnosis of on-site process inefficiencies and the barriers to its digitalization leading to the user requirements, which have been underpinned by questionnaires and interviews addressed within an open innovation user-centered approach around Living Labs. The research has been conceived following the Design Science Research (DSR) methodology and based on the Plan-Do-Check-Act (PDCA) analysis for the continuous improvement of the construction process. By means of the adoption of the standard Business Process Model and Notation (BPMN), based on the BDTP architecture, the research has resulted in BPMN workflows stemmed from the Digital Twin (DT) where the DT itself is an actor in a service-oriented data-exchange workflow. Moreover, the use of a BDTP can pave the way for the transition from user-driven construction management to hybrid management, coexisting with both human and digital actors and merging expert knowledge with artificial intelligence techniques. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

21 pages, 1157 KiB

Open AccessArticle

A Systematic Review of the Socio-Legal Dimensions of Responsible AI and Its Role in Improving Health and Safety in Construction

by Andrew Agapiou

Buildings 2024, 14(5), 1469; https://doi.org/10.3390/buildings14051469 - 18 May 2024

Viewed by 1724

Abstract

Integrating artificial intelligence (AI) in the construction industry could revolutionise workplace safety and efficiency. However, this integration also carries complex socio-legal implications that require further investigation. Presently, there is a research gap in the socio-legal dimensions of AI use to enhance health and safety regulations and protocols for the construction sector in the United Kingdom, particularly in understanding how the existing legal frameworks can adapt to AI integration effectively. Comprehensive research is indispensable to identify where the existing regulations may fall short or require more specificity in addressing the unique implications introduced by AI technologies. This article aims to address the pressing socio-legal challenges surrounding the integration of AI in the UK construction industry, specifically in enhancing health and safety protocols on construction sites, through a systematic review encompassing the PRISMA protocol. The review has identified that the existing legal and regulatory framework provides a strong foundation for risk management. Still, it needs to sufficiently account for the socio-legal dimensions introduced by AI deployment and how AI may evolve in the future. The Health and Safety Executive (HSE) will require standardised authorities to effectively oversee the use of AI in the UK construction industry. This will enable the HSE to collect data related to AI processes and carry out technical, empirical, and governance audits. The provision of sufficient resources and the empowerment of the HSE within the context of the construction industry are critical factors that must be taken into consideration to ensure effective oversight of AI implementation. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

16 pages, 1636 KiB

Open AccessArticle

Semantic Enrichment of BIM: The Role of Machine Learning-Based Image Recognition

by Claudio Mirarchi, Maryam Gholamzadehmir, Bruno Daniotti and Alberto Pavan

Buildings 2024, 14(4), 1122; https://doi.org/10.3390/buildings14041122 - 17 Apr 2024

Cited by 2 | Viewed by 1533

Abstract

Building Information Modelling (BIM) revolutionizes the construction industry by digitally simulating real-world entities through a defined and shared semantic structure. However, graphical information included in BIM models often contains more detailed data compared to the corresponding semantic or computable data. This inconsistency creates an asymmetry, where valuable details present in the graphical renderings are absent from the semantic description of the model. Such an issue limits the accuracy and comprehensiveness of BIM models, constraining their full utilization for efficient decision-making and collaboration in the construction process. To tackle this challenge, this paper presents a novel approach that utilizes Machine Learning (ML) to mediate the disparity between graphical and semantic information. The proposed methodology operates by automatically extracting relevant details from graphical information and transforming them into semantically meaningful and computable data. A comprehensive empirical evaluation shows that the presented approach effectively bridges the gap between graphical and computable information with an accuracy of over 80% on average, unlocking the potential for a more accurate representation of information within BIM models and enhancing decision-making and collaboration/utility in construction processes. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

28 pages, 3137 KiB

Open AccessArticle

A Work Breakdown Structure for Estimating Building Life Cycle Cost Aligned with Sustainable Assessment—Application to Functional Costs

by Eduardo Vázquez-López, Jaime Solís-Guzmán and Madelyn Marrero

Buildings 2024, 14(4), 1119; https://doi.org/10.3390/buildings14041119 - 16 Apr 2024

Cited by 3 | Viewed by 1500

Abstract

The tools used for budgeting in the building design phase are still insufficient to address the life cycle of the building in terms of environmental and cost impacts. The main objective of this research is to define a model for extending existing cost databases to accommodate life cycle sustainability assessment. For this, current classification systems are reviewed and a case study has been analysed using the new approach. To this end, a new system of classification of construction information is proposed for the evaluation of early design costs, when data are scarce and the only information available refers to the gross interior area and the plot. The classification organizes the costs in a similar way to the sustainability assessment in EN-15643. A subcategory has been added for revenue, developer costs, and taxes at all stages of the lifecycle. The resulting classification is applied to the functional elements of a secondary school project. In the case study, construction costs represent 21% while the use stage accounts for 72% in a 100-year lifespan. The results show that, starting from generic cost bases, more complex costs and functional costs can be defined at different stages of the life cycle and adjusted to sustainability assessment standards. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

Figure 1
Categories of overall life cycle cost: on the left-hand side according to ISO 15686-5, and, on the right-hand side, EN-15643. In the blue box, the life cycle cost. Full article ">Figure 2
Hierarchical Structure of Classification Models. Abbreviations: Uniclass (UNC), Omniclass (OMC), Conseil Européen des Economistes de la Construction (CEEC), International Cost Management Standard (ICMS), New Rules of Measurement (NRM), and Andalusian Construction Cost Database (ACCD). Full article ">Figure 3
Methodological schema for the creation of a CICS for public works projects in Spain. Full article ">Figure 4
Cost structure, the work unit cost is obtained from the ACCD which is part of the functional cost. Full article ">Figure 5
Steps for the calculation of the life cycle cost (LCC) of the project per stage. Full article ">Figure 6
Example functional spaces ((A). Staircase, (B). Lavatory, (C). Corridor, (D). Lift, (E). Classroom, (F). Terrace). Full article ">Figure 7
Comparison of LCC category percentages with different discount rates of 0% (A) and 3% (B). Full article ">Figure 8
The costs per life cycle subcategories with 0% (blue) and 3% (orange) discount rates. Full article ">

20 pages, 4747 KiB

Open AccessArticle

An Integrated Data-Driven System for Digital Bridge Management

by Luigi Pallante, Pietro Meriggi, Fabrizio D’Amico, Valerio Gagliardi, Antonio Napolitano, Fabrizio Paolacci, Gianluca Quinci, Mario Lorello and Gianmarco de Felice

Buildings 2024, 14(1), 253; https://doi.org/10.3390/buildings14010253 - 17 Jan 2024

Cited by 2 | Viewed by 1979

Abstract

Relational databases are established and widespread tools for storing and managing information. The efficient collection of information in a database appears to be a promising solution for bridge management (BM), thus facilitating the digital transition. The Italian regulatory framework on infrastructure operation and maintenance (O&M) is complex and is constantly being updated. The current plan for implementing its guidelines envisages that infrastructure managers, also on a regional scale, equip themselves with their own digital database for BM. Within this context, this research proposes an integrated methodology that collects information derived from project documentation, in situ inspections, digital surveys, and monitoring and field tests in a queryable database for digitalising, georeferencing, and creating models of many bridges. Structured query language (SQL) statements are used to efficiently export specific shared information, enabling network cross-analysis. Furthermore, the database represents the source of a geographic information system (GIS) catalogue and the basis for deriving models for building information modelling (BIM). The methodology focuses on the infrastructural context of the Lazio region, Italy, the first beneficiary of the research. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

21 pages, 3189 KiB

Open AccessArticle

Effective Factors for Implementing Building Information Modeling Using Fuzzy Method to Manage Buildings on Mars

by Amirhossein Javaherikhah and Mercedes Valiente Lopez

Buildings 2023, 13(12), 2991; https://doi.org/10.3390/buildings13122991 - 30 Nov 2023

Cited by 2 | Viewed by 1218

Abstract

Ever since mankind has known the world around him and space, he has been trying to find a suitable alternative for his current residence, the Earth. In this research, two main criteria for buildings on Mars and their information management were extracted by checking the library of studies on Mars. These two main criteria are the components of the building and the internal components of the building. The criteria for building components include the health of walls, the health of roofs, meteor protection, the health of facilities, and the health of windows (air exchange), and the internal components of the building, including air temperature, air pressure, ambient oxygen, ambient carbon dioxide, humidity, and the amount of light. These criteria, which were extracted from the library materials, were screened using the fuzzy Delphi method, which is one of the most accurate criteria screening methods and is completed by experts. After the opinions of experts, the criteria of health of walls, health of roofs, health of facilities, rejection, air exchange, ambient temperature, and oxygen content were extracted as final criteria. The results of the experts’ paired questionnaire were analyzed using the fuzzy AHP method, and the health criteria of the walls, the health of the ceilings, and air exchange have the first priority; the criteria of the ambient temperature and oxygen level are the second priority; and the criteria of the facilities are the last priority. These were placed as a suggestion, and it can be stated to the researchers that these priorities should be implemented in the blockchain platform so that the building information management system (BIM) works well in buildings on Mars and against any intrusion or damage. Being resistant, but it seems that the experts considered the components of the building separately from its protective components and put components such as the health of the window as a guarantee of the architecture of Martian buildings and did not include them as part of the main criteria of the research. Also, this research can be used as background for other research in this field. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Figure 1

Review

Jump to: Research

18 pages, 1743 KiB

Open AccessReview

Analysis of Digital Twins in the Construction Industry: Practical Applications, Purpose, and Parallel with other Industries

by Vanessa Saback, Cosmin Popescu, Thomas Blanksvärd and Björn Täljsten

Buildings 2024, 14(5), 1361; https://doi.org/10.3390/buildings14051361 - 10 May 2024

Viewed by 1785

Abstract

Digital twins (DTs) have become a widely discussed subject, believed to have the potential to solve various problems across different industries, including Engineering & Construction (E&C). However, there is still significant misconception concerning the definition of DTs and their purpose within E&C. This study dives deep into identifying DT applications within E&C and the other prominent industries, i.e., Aerospace & Aviation, Manufacturing, Energy & Utilities, Automotive, Healthcare, Smart Cities, Oil & Gas, and Retail. The main challenges to the evolution of DT practical applications are also analyzed. A combination of a literature review, multi-case study analysis, and comparative analysis compose the deployed methodology. Standardization and a maturity level classification are proposed to drive progress of the adoption of DTs. The distinct aspects of the different industries and their assets are evaluated to the conclusion that DTs are better employed for maintenance of structures within E&C. DTs have become a well-worn topic, but the abundance of complex theoretical frameworks is met with simple or inexistent practical applications. Therefore, the novelty of this study lays in its comprehensive analysis of DT applications and real-world implementations—a departure from the often-theoretical discussions surrounding DTs. Full article

(This article belongs to the Special Issue Advances in Digital Construction Management)

► Show Figures

Journal Menu

Journal Browser

Advances in Digital Construction Management

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Benefits of Publishing in a Special Issue

Published Papers (9 papers)

Research

Review

Further Information

Guidelines

MDPI Initiatives

Follow MDPI