Advances in Engineering, Construction and Architectural 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: 31 January 2027 | Viewed by 2084

Editor


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Guest Editor
School of Engineering and Technology, Central Queensland University, Sydney Campus, 400 Kent Street, Sydney, NSW 2000, Australia
Interests: construction risk; safety behavior; sustainable construction; smart construction; diffusion of novel technologies in construction; organizational management.
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The built environment is undergoing rapid transformation driven by technological innovation, sustainability imperatives and evolving societal needs. This Special Issue, "Advances in Engineering, Construction and Architectural Management," aims to showcase cutting-edge research and practical developments at the intersection of these disciplines. It welcomes contributions that explore innovative approaches to improve efficiency, resilience and sustainability in building and civil engineering projects.

Key topics include, but are not limited to, digital technologies in construction and architectural design; sustainable project management and green building practices; risk assessment and resilience in engineering projects; advanced construction techniques and materials; integrated architectural and engineering management strategies; lifecycle assessment and facility management and case studies on smart buildings and urban development.

We invite original research articles, reviews and case studies that advance theoretical understanding or demonstrate real-world applications. Submissions should highlight novel methodologies, empirical findings or interdisciplinary insights contributing to more effective management of engineering, construction and architectural processes.

We look forward to your valuable contributions.

Dr. Xianbo Zhao
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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 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 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

  • construction
  • architecture
  • building
  • civil engineering
  • management
  • sustainability
  • resilience
  • productivity

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Published Papers (4 papers)

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Research

27 pages, 593 KB  
Article
Configuring Governance Mechanisms to Improve Resilience in Construction Projects
by Peng Yan, Ziheng He, Sen Lin and Shuo Chen
Buildings 2026, 16(13), 2668; https://doi.org/10.3390/buildings16132668 - 6 Jul 2026
Abstract
Resilience is critical for construction projects to cope with diverse risks and uncertainties. Inter-organizational relationship governance has been widely recognized as an important means of strengthening project resilience. However, existing research has paid limited attention to how different governance mechanisms interact and combine [...] Read more.
Resilience is critical for construction projects to cope with diverse risks and uncertainties. Inter-organizational relationship governance has been widely recognized as an important means of strengthening project resilience. However, existing research has paid limited attention to how different governance mechanisms interact and combine to enhance resilience in construction projects. Drawing on a configurational perspective, this study examines how contractual, hierarchical, and network governance jointly contribute to construction project resilience. Based on survey data from 289 practitioners, fuzzy-set qualitative comparative analysis (fsQCA) is employed to identify the governance configurations associated with high project resilience. The results reveal three configurational pathways leading to high resilience: (1) relational–structural network governance coupled with contractual governance; (2) a combination of contractual, hierarchical, and network governance; (3) relational–cognitive network governance coupled with contractual governance. These findings offer important theoretical and practical implications for understanding the role of hybrid governance in the resilience of construction projects. Theoretically, this study extends resilience research by demonstrating that contractual, hierarchical, and network governance do not operate in isolation but jointly enhance project resilience through distinct configurations. Practically, these findings offer guidance for project stakeholders to optimize and integrate governance mechanisms, thereby improving their capacity to anticipate, respond to, and manage internal and external crises. Full article
(This article belongs to the Special Issue Advances in Engineering, Construction and Architectural Management)
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29 pages, 9742 KB  
Article
Linear Programming Optimization Model for Repetitive Prefabricated Construction Projects Considering Renewable Resource Categories
by Dingfeng Yang, Nanfang Cui, Wendi Tian and Zhentao Hu
Buildings 2026, 16(10), 1984; https://doi.org/10.3390/buildings16101984 - 18 May 2026
Viewed by 272
Abstract
Multi-building, multi-story prefabricated construction projects are notably characterized by high complexity and repetitiveness, which necessitate efficient resource scheduling. Traditional resource-constrained project scheduling problems primarily address global resources, whereas existing studies on repetitive scheduling emphasize crew allocation and often neglect constraints associated with spatially [...] Read more.
Multi-building, multi-story prefabricated construction projects are notably characterized by high complexity and repetitiveness, which necessitate efficient resource scheduling. Traditional resource-constrained project scheduling problems primarily address global resources, whereas existing studies on repetitive scheduling emphasize crew allocation and often neglect constraints associated with spatially localized resources, such as tower cranes. To address the challenges posed by repetitive prefabricated construction, this study systematically analyzes scheduling characteristics and classifies renewable resources into three categories: local, crew, and global resources. This study also introduces a novel spatial precedence relationship to capture dependencies between activities on adjacent floors. A linear programming model is formulated to minimize both project duration and total resource idle time. The model is developed under several explicit simplifying assumptions to ensure computational tractability while preserving the core-resource interdependencies. The proposed model’s effectiveness is validated through an empirical case study and additional numerical experiments. In the case study, utilization rates for local resources and crews increased by 20% and 8%, respectively. Furthermore, sensitivity analysis of local-resource allocation indicates that increasing the number of tower cranes yields diminishing marginal reductions in project duration, while total resource idle time first decreases and then increases. Consequently, resource over-allocation should be avoided to prevent degradation in utilization. Full article
(This article belongs to the Special Issue Advances in Engineering, Construction and Architectural Management)
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16 pages, 381 KB  
Article
Enhancing Deep Safety Compliance of Construction Workers in Australia
by Xianbo Zhao, Diya Yan, Pushpitha Kalutara and Roksana Tumpa
Buildings 2026, 16(9), 1747; https://doi.org/10.3390/buildings16091747 - 28 Apr 2026
Viewed by 498
Abstract
Construction workers need to comply with safety rules and procedures to maintain on-site safety. Some workers intend to merely demonstrate their safety compliance to safety managers with minimal effort and lack the intention to ensure safety. Safety compliance has been distinguished between deep [...] Read more.
Construction workers need to comply with safety rules and procedures to maintain on-site safety. Some workers intend to merely demonstrate their safety compliance to safety managers with minimal effort and lack the intention to ensure safety. Safety compliance has been distinguished between deep safety compliance (DSC) and surface safety compliance (SSC) in recent studies. This study aims to explore ways to enhance DSC, with consideration of the effects of management commitment to safety (MCS), safety communication and safety knowledge. The data were collected from 239 construction workers in Australia. The results indicated that safety communication and safety knowledge positively contributed to DSC. Safety communication decreased SSC. In addition, safety knowledge and safety communication mediated the effect of MCS on DSC. Safety knowledge also mediated the effect of safety communication on DSC. Improving DSC requires safety managers to demonstrate their commitment to safety and communicate it effectively. When workers trust this commitment, they retain safety knowledge and are more likely to comply with safety rules and procedures. Full article
(This article belongs to the Special Issue Advances in Engineering, Construction and Architectural Management)
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30 pages, 1642 KB  
Article
Improving Access to Building Licensing Information in Australia: Design and Development of a Graph-Based Retrieval-Augmented Generation (RAG) Artificial Intelligence (AI) System
by Diya Yan, Jiate Liu, Bocheng Han, Zhengyi Yang, Jun He, Jirong Xu, Riza Yosia Sunindijo and Cynthia Changxin Wang
Buildings 2026, 16(6), 1224; https://doi.org/10.3390/buildings16061224 - 19 Mar 2026
Viewed by 788
Abstract
Digital technologies have been widely adopted to improve efficiency, transparency, and decision making in the construction industry. However, regulatory processes such as building license and registration applications remain complex, fragmented, and difficult for applicants to navigate, particularly for early career practitioners and small [...] Read more.
Digital technologies have been widely adopted to improve efficiency, transparency, and decision making in the construction industry. However, regulatory processes such as building license and registration applications remain complex, fragmented, and difficult for applicants to navigate, particularly for early career practitioners and small businesses. This study presents the design and development of a graph-based retrieval-augmented generation (RAG) artificial intelligence (AI) system that assists users in applying for building licenses and registrations in Australia. By integrating eight regulatory burden frameworks, this study identified ten categories of licensing-related burden. A three-layer system architecture was subsequently proposed for the Australian construction licensing context, and a prototype is implemented using the New South Wales (NSW) regulatory framework. The system provides context-aware responses, step-by-step guidance, and tailored information based on user queries, thereby reducing regulatory burden for individuals, companies, and industry bodies. Prototype evaluation against general-purpose AI tools indicates improved information accessibility and reduced application-related friction in representative licensing scenarios. This study sheds light on AI-enabled regulatory support systems and demonstrates how graph-based RAG could improve accessibility and usability of construction related licensing processes. The findings have implications for policymakers, regulators, and researchers seeking to leverage AI to support digital transformation in the construction industry. Full article
(This article belongs to the Special Issue Advances in Engineering, Construction and Architectural Management)
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