Information Technology in Building Construction Management

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

Deadline for manuscript submissions: 20 February 2025 | Viewed by 1065

Special Issue Editors


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Guest Editor
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
Interests: smart construction; construction project management; low-carbon economy and management; mega project management; infrastructure management

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Guest Editor
School of Business Administration, Liaoning Technical University, Huludao 125105, China
Interests: mega project management; construction innovation; collaborative networks; green building and sustainable construction; sustainable urban infrastructure

Special Issue Information

Dear Colleagues,

Information technology has had enormous effects on the building construction in the last decade. The effects have resonated in various disciplines, such as organization efficiency, communication approach and employee behavior. Due to the increasingly complex projects and urgent labor shortage, it is important for the industry to have a rapid transformation based on the specific applications of information technologies in building construction management. The aim of this Special Issue is to improve construction management efficiency through information technology. In recent years, the rapid evolution of information technologies such as artificial intelligence, big data, blockchain, cloud computing, etc. has accelerated the transformation of the construction industry. Information technology is widely applied in the planning, design, construction, and operation stages of buildings. However, the theoretical frameworks, empirical effect, and application difficulty need further identification.

This Special Issue encourages papers to explore information technologies in building construction management at the project, firm, or industry level. Original research, theoretical and experimental works, case studies, and review papers are all invited for possible publication.

Dr. Luqi Wang
Dr. Ruixue Zhang
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

  • building information modeling
  • city information modeling
  • digital twins
  • big data
  • artificial intelligence
  • robotics
  • computer vision
  • could computing
  • blockchain

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Published Papers (1 paper)

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Research

18 pages, 9303 KiB  
Article
Automatic Planning Method of Construction Schedule under Multi-Dimensional Spatial Resource Constraints
by Luqi Wang, Jinrui Li, Qizhi Ye, Yan Li and Anqi Feng
Buildings 2024, 14(10), 3231; https://doi.org/10.3390/buildings14103231 - 12 Oct 2024
Cited by 1 | Viewed by 719
Abstract
To enhance the application of building information modeling (BIM) in schedule management for engineering projects, improve spatial planning capabilities, and minimize subjective factors in schedule preparation, this paper presents a framework and method for automatic construction schedule planning based on BIM and data-driven [...] Read more.
To enhance the application of building information modeling (BIM) in schedule management for engineering projects, improve spatial planning capabilities, and minimize subjective factors in schedule preparation, this paper presents a framework and method for automatic construction schedule planning based on BIM and data-driven approaches under multi-dimensional spatial resource constraints. The method includes data acquisition, construction process reasoning, time parameter calculation, and schedule generation and scheduling. Initially, the construction data from the BIM model and manual input are imported into the reasoning system to establish the logical relationships of the construction process. Construction time parameters and spatial resource requirements are then automatically calculated using MySQL. Subsequently, the spatial layout and resource allocation data exported from the BIM model are compared to assess whether the space meets the project requirements. Finally, a construction schedule that satisfies the space constraints is generated. The method was validated through a case study, demonstrating its effectiveness in automatic schedule planning under human-computer interaction. This study introduces an innovative approach that considers spatial conflicts in the automatic scheduling process, improving planning efficiency and reducing the risk of spatial conflicts on construction sites. Full article
(This article belongs to the Special Issue Information Technology in Building Construction Management)
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