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Digital Transformation and Resilience in Construction Management: Technologies, Strategies, and...
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Digital Transformation and Resilience in Construction Management: Technologies, Strategies, and Applications

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

Deadline for manuscript submissions: 28 February 2026 | Viewed by 1767

Special Issue Editors

Dr. Liupengfei Wu

E-Mail Website
Guest Editor
Department of Real Estate and Construction, The University of Hong Kong, Hong Kong 999077, China
Interests: data science; digital engineering; construction informatics; modular construction; construction project management
Dr. Frank Ghansah

E-Mail Website
Guest Editor
School of Construction Property and Surveying, College of Technology and Environment, London South Bank University, London SE1 0AA, UK
Interests: construction quality assurance; digital construction; sustainable buildings; construction circularity; modular construction
Special Issues, Collections and Topics in MDPI journals
Dr. Linna Geng

E-Mail Website
Guest Editor
School of Engineering, Design and Built Environment, Western Sydney University, Kingswood, Sydney, NSW 2747, Australia
Interests: digital construction; sustainable buildings; construction circularity; modular construction; construction project management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The construction industry is undergoing a profound transformation driven by digital technologies, urbanization pressures, and the growing demand for resilient and sustainable infrastructure. Rapid advancements in construction informatics (BIM, digital twins, VR/AR, IoT, blockchain, smart contracts, and NFTs), AI-driven automation (Agentic AI, Generative AI), and modular construction are reshaping project delivery, risk management, and lifecycle performance. At the same time, challenges such as supply chain disruptions, labor shortages, climate resilience, and regulatory compliance necessitate innovative digital strategies to enhance efficiency, transparency, and adaptability in construction management.

This Special Issue seeks to explore the latest research and practical applications of digital technologies in fostering resilient and data-driven construction management. We welcome high-quality original research articles, case studies, and comprehensive review papers addressing, but not limited to, the following topics:

  • Digital construction and smart technologies;
  • AI and data-driven construction management;
  • Modular and offsite construction;
  • Resilience and sustainability in construction;
  • Digital transformation strategies in construction firms;
  • Cybersecurity and data governance in construction informatics.

We invite researchers and industry practitioners to contribute cutting-edge insights that bridge the gap between digital innovation and resilient construction management.

Dr. Liupengfei Wu
Dr. Frank Ghansah
Dr. Linna Geng
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 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

  • digital construction
  • construction management
  • modular construction
  • resilience
  • sustainability in construction
  • digital transformation strategies
  • construction informatics

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

Published Papers (3 papers)

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Research

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24 pages, 5791 KB  
Article
AI-Driven Prediction of Building Energy Performance and Thermal Resilience During Power Outages: A BIM-Simulation Machine Learning Workflow
by Mohammad H. Mehraban, Shayan Mirzabeigi, Setare Faraji, Sameeraa Soltanian-Zadeh and Samad M. E. Sepasgozar
Buildings 2025, 15(21), 3950; https://doi.org/10.3390/buildings15213950 - 2 Nov 2025
Viewed by 171
Abstract
Power outages during extreme heat events threaten occupant safety by exposing buildings to rapid indoor overheating. However, current building thermal resilience assessments rely mainly on physics-based simulations or IoT sensor data, which are computationally expensive and slow to scale. This study develops an [...] Read more.
Power outages during extreme heat events threaten occupant safety by exposing buildings to rapid indoor overheating. However, current building thermal resilience assessments rely mainly on physics-based simulations or IoT sensor data, which are computationally expensive and slow to scale. This study develops an Artificial Intelligence (AI)-driven workflow that integrates Building Information Modeling (BIM)-based residential models, automated EnergyPlus simulations, and supervised Machine Learning (ML) algorithms to predict indoor thermal trajectories and calculate thermal resilience against power failure events in hot seasons. Four representative U.S. residential building typologies were simulated across fourteen ASHRAE climate zones to generate 16,856 scenarios over 45.8 h of runtime. The resulting dataset spans diverse climates and envelopes and enables systematic AI training for energy performance and resilience assessment. It included both time-series of indoor thermal conditions and static thermal resilience metrics such as Passive Survivability Index (PSI) and Weighted Unmet Thermal Performance (WUMTP). Trained on this dataset, ensemble boosting models, notably XGBoost, achieved near-perfect accuracy with an average R2 of 0.9994 and nMAE of 1.10% across time-series (indoor temperature, humidity, and cooling energy) recorded every 3 min for a 5-day simulation period with 72 h of outage. It also showed strong performance for predicting static resilience metrics, including WUMTP (R2 = 0.9521) and PSI (R2 = 0.9375), and required only 1148 s for training. Feature importance analysis revealed that windows contribute 74.3% of the envelope-related influence on passive thermal response. This study demonstrates that the novelty lies not in the algorithm itself, but in applying the model to resilience context of power outages, to reduce computations from days to seconds. The proposed workflow serves as a scalable and accurate tool not only to support resilience planning, but also to guide retrofit prioritization and inform building codes. Full article
(This article belongs to the Special Issue Digital Transformation and Resilience in Construction Management: Technologies, Strategies, and Applications)
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21 pages, 2246 KB  
Article
Super-Supportive Corporate Social Responsibility Behaviors in China’s Construction Enterprises
by Yuqing Zhang, Qian Zhang, Weiyan Jiang, Meiyue Sang and Kunhui Ye
Buildings 2025, 15(19), 3587; https://doi.org/10.3390/buildings15193587 - 5 Oct 2025
Viewed by 675
Abstract
Super-supportive CSR behaviors (SSCBs) are integrative actions devised to enhance the effectiveness of CSR initiatives by harmonizing social, environmental, and economic efforts. Despite their strategic role in business operations, SSCBs remain insufficiently addressed, especially within the construction sector. This study utilizes text mining [...] Read more.
Super-supportive CSR behaviors (SSCBs) are integrative actions devised to enhance the effectiveness of CSR initiatives by harmonizing social, environmental, and economic efforts. Despite their strategic role in business operations, SSCBs remain insufficiently addressed, especially within the construction sector. This study utilizes text mining and association rule mining to analyze 211 CSR reports from Chinese construction firms spanning 2010 to 2021. The key findings highlight the pivotal role of 17 SSCBs in strengthening CSR initiatives, revealing three major characteristics: foundational, synergistic, and triggering. Within the construction industry, SSCBs primarily focus on corporate governance, community development, employee welfare, and environmental sustainability, evolving from isolated practices to integrated systems over time. Notably, construction firms tend to adopt SSCB portfolios instead of standalone initiatives. Furthermore, exceeding a certain threshold of SSCBs may increase challenges in coordination and resource allocation. These insights highlight SSCBs as a dynamic, multidimensional construct and provide construction firms with a practical framework to integrate complementary CSR actions, improving coordination, optimizing resources, and strengthening sustainability outcomes in practice. Full article
(This article belongs to the Special Issue Digital Transformation and Resilience in Construction Management: Technologies, Strategies, and Applications)
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Review

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28 pages, 6667 KB  
Review
Blockchain Oracles for Digital Transformation in the AECO Industry: Securing Off-Chain Data Flows for a Trusted On-Chain Environment
by Liupengfei Wu, Frank Ghansah, Yuanben Zou and Benjamin Ababio
Buildings 2025, 15(20), 3662; https://doi.org/10.3390/buildings15203662 - 11 Oct 2025
Viewed by 443
Abstract
As noted in recent blockchain review articles, several blockchain studies have attracted attention to the architecture, engineering, construction, and operation (AECO) industry. The reason is that blockchain offers opportunities to revolutionize the AECO industry owing to its transparency, traceability, and immutability. However, these [...] Read more.
As noted in recent blockchain review articles, several blockchain studies have attracted attention to the architecture, engineering, construction, and operation (AECO) industry. The reason is that blockchain offers opportunities to revolutionize the AECO industry owing to its transparency, traceability, and immutability. However, these benefits cannot be realized without blockchain “oracles”. Oracles are intermediary agents that connect blockchain systems to real-world applications. They function by collecting and verifying off-chain data, which is then fed into the blockchain for use by smart contracts. To investigate this uncharted territory, this paper adopts a hybrid research method of descriptive, bibliometric and content analysis; cross-mapping; and gap analysis to identify the trend; key topics; current status; future directions; and governance, ethical, legal, and social implications (GELSI) framework of blockchain oracles. This paper contributes to the body of knowledge by synthesizing trends, current status, key topics, and GELSI of blockchain oracles, promoting areas of improvement, and bridging knowledge gaps on blockchain oracles in the AECO industry. Full article
(This article belongs to the Special Issue Digital Transformation and Resilience in Construction Management: Technologies, Strategies, and Applications)
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