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Buildings
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BIM and Digital Construction
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BIM and Digital Construction

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 (15 April 2023) | Viewed by 10307

Special Issue Editors

Prof. Dr. Namhyuk Ham

E-Mail Website
Guest Editor
Department of Digital Architecture and Urban Engineering, Hanyang Cyber University, Seoul 04763, Korea
Interests: BIM (building information modelling); ICT (information and communication technology); artificial intelligence; big data analytics; digital twin; project delivery method; construction management; ROI (return on investment)
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Joo-Sung Lee

E-Mail Website
Guest Editor
Department of Architecture, Kangwon National University, 346 Jungang-ro, Samchuk 25913, Kangwon-do, Korea
Interests: construction management; construction ICT for automation; BIM; delivery system; lean & pre-construction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

BIM is breaking the boundaries of the traditional construction industry as the industry’s core information. In addition, BIM is accelerating the digitization of the construction industry through convergence with digital construction technology in a variety of applications. The digitization of the construction industry provides useful information to stakeholders involved in construction projects. BIM can be the basis for supporting decision making throughout the lifecycle of a construction project, and as a means of delivering step-by-step, high-quality information to the next user. We can maximize value such as productivity, safety, and economics through construction activities using BIM. However, there are still many engineering problems that can be solved in the construction industry using BIM and digital technology. This Special Issue welcomes all technology developments, case studies, empirical research, and experimentation using BIM as core information to address these issues. The scope of the work includes, but is not limited to:

  • The integration of BIM and smart construction technology;
  • BIM and project delivery method;
  • BIM and collaborative environment;
  • BIM and construction management;
  • Automation and robotics with BIM;
  • BIM as big data;
  • The value assessment of BIM and digital construction.

Prof. Dr. Namhyuk Ham
Prof. Dr. Joo-Sung Lee
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

  • BIM (building information modeling)
  • ICT (information and communication technology)
  • DfMA (design for manufacturing and assembly)
  • OSC (off-site construction)
  • XR (extended reality)
  • big data
  • artificial intelligence
  • digital twin
  • ROI (return on investment)

Published Papers (4 papers)

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Research

14 pages, 940 KiB  
Article
Comparative Study on BIM Acceptance Model by Adoption Period
by Jungho Yu and Seulki Lee
Buildings 2023, 13(6), 1450; https://doi.org/10.3390/buildings13061450 - 01 Jun 2023
Cited by 1 | Viewed by 1132
Abstract
As the need for digital transformation (DT) increased in order to improve productivity in the construction industry, the market for building information modeling (BIM), the main technology of DT, gradually expanded. Strategies for promoting BIM have been established and announced in South Korea. [...] Read more.
As the need for digital transformation (DT) increased in order to improve productivity in the construction industry, the market for building information modeling (BIM), the main technology of DT, gradually expanded. Strategies for promoting BIM have been established and announced in South Korea. Accordingly, the related regulations have been modified and there is continuous investment in BIM. Despite these efforts, BIM adoption has not gone smoothly. This study aims to empirically verify an acceptance model as of 2021 based on the BIM acceptance models proposed by previous studies, and to propose implications by analyzing the significant relationship changes in acceptance models by period. It found a change in the mechanism of accepting BIM over time and derived implications about the causes of changes in connection with the comparative analysis results and the status of BIM-related policy announcements. If promotion strategies are inspected and adoption strategies suitable for each period are established through the regular verification of the BIM acceptance mechanism, we expect that the effectiveness and efficiency of investments in promoting BIM will improve. Full article
(This article belongs to the Special Issue BIM and Digital Construction)
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17 pages, 2358 KiB  
Article
Performance Analysis and Assessment of BIM-Based Construction Support with Priority Queuing Policy
by Nam-Hyuk Ham and Ok-Kyung Yuh
Buildings 2023, 13(1), 153; https://doi.org/10.3390/buildings13010153 - 07 Jan 2023
Cited by 1 | Viewed by 1621
Abstract
A variety of methodological approaches have been developed to performance assessment for the adoption of building information modeling (BIM) at organizational and project levels. Recently, active research has been undertaken on the quantitative analysis of the effects of BIM on projects through BIM-based [...] Read more.
A variety of methodological approaches have been developed to performance assessment for the adoption of building information modeling (BIM) at organizational and project levels. Recently, active research has been undertaken on the quantitative analysis of the effects of BIM on projects through BIM-based design validation methodologies. Nevertheless, few studies have addressed the interactions between the BIM staff providing BIM services and the project participants requesting BIM services from the viewpoint of micro-level management. In this study, with the aim of improving the performance of BIM-based construction support, we performed an analysis of the properties of the BIM request for information (RFI) in the construction phase, proposing a method for performance analysis and assessment which considers the competencies of the BIM staff that handle and process such requests. This study verified that, through the application of a priority policy according to the purpose of the information use in the construction phase, the performance of the BIM staff can be improved, and the waiting time of project participants to receive responses to the BIM RFIs can be reduced. The findings of this study are expected to be applied in areas such as decision making on allocation of BIM staff and analysis of return on investment (ROI) in hiring BIM services. Full article
(This article belongs to the Special Issue BIM and Digital Construction)
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28 pages, 1432 KiB  
Article
Constructive and Destructive Leadership Behaviors, Skills, Styles and Traits in BIM-Based Construction Projects
by Mazen M. Omer, N. M. Adeeq Mohd-Ezazee, Yong Siang Lee, Mohammad Sadra Rajabi and Rahimi A. Rahman
Buildings 2022, 12(12), 2068; https://doi.org/10.3390/buildings12122068 - 25 Nov 2022
Cited by 24 | Viewed by 3590
Abstract
Building information modeling (BIM) implementation is expanding over time, and collaboration is becoming more critical in construction projects. Leadership characteristics may contribute to or hinder the effectiveness of these collaborations in BIM-based construction projects. However, the current body of knowledge lacks information on [...] Read more.
Building information modeling (BIM) implementation is expanding over time, and collaboration is becoming more critical in construction projects. Leadership characteristics may contribute to or hinder the effectiveness of these collaborations in BIM-based construction projects. However, the current body of knowledge lacks information on the leadership characteristics that can be constructive or destructive for BIM-based construction projects. Therefore, this study aims to determine the constructive and destructive leadership behaviors, skills, styles, and traits in BIM-based construction projects. An explorative qualitative study was conducted by interviewing twenty architecture, engineering, and construction (AEC) professionals. Then, the thematic analysis approach was used to analyze the interview data. The study findings suggest that common constructive leadership behaviors are tolerant and committed. Furthermore, the common constructive leadership trait and style is reliability. On the contrary, the common destructive leadership behavior is intolerant. This study provides the literature with a novel list of constructive and destructive leadership characteristics for BIM-based construction projects. Understanding these characteristics would assist industry professionals and policymakers in increasing the performance of BIM-based construction projects. Full article
(This article belongs to the Special Issue BIM and Digital Construction)
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21 pages, 2564 KiB  
Article
Cost–Benefit Analysis of Scan-vs-BIM-Based Quality Management
by Taewan Kim, Youngjoon Yoon, Byeongdo Lee, Namhyuk Ham and Jae-Jun Kim
Buildings 2022, 12(12), 2052; https://doi.org/10.3390/buildings12122052 - 23 Nov 2022
Cited by 8 | Viewed by 2891
Abstract
Terrestrial laser scanning (TLS) and building information modeling (BIM) play an important role as smart construction technologies introduced to increase productivity in the architecture, engineering, and construction (AEC) industry. However, these smart construction technologies have not been well introduced due to their high [...] Read more.
Terrestrial laser scanning (TLS) and building information modeling (BIM) play an important role as smart construction technologies introduced to increase productivity in the architecture, engineering, and construction (AEC) industry. However, these smart construction technologies have not been well introduced due to their high initial investment cost and poor performance reliability. Therefore, this study presents the results of a cost–benefit analysis to prove the investment value of terrestrial laser scanning and building information modeling. First, the reliability of this study data was increased through a case analysis of a real-world multi-project conducted by a single organization. Second, this study quantitatively proposed the economic value of terrestrial laser scanning and building information modeling by applying cost–benefit analysis (CBA). The effects of the application of terrestrial laser scanning and building information modeling on manpower input and time reduction were quantitatively analyzed through the cost–benefit analysis. The results showed that the cash value flows of terrestrial laser scanning and building information modeling could be considered to make value-for-money decisions for the adoption of terrestrial laser scanning and building information modeling in construction engineering organizations. Full article
(This article belongs to the Special Issue BIM and Digital Construction)
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