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Advancing Sustainable Construction Management Through Decision Support System

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Green Building".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 826

Special Issue Editor


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Guest Editor
1. Faculty of Engineering Management, Bialystok University of Technology, 15-351 Bialystok, Poland
2. Department of Construction Management and Real Estate, Laboratory of Operational Research, Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Interests: multi-criteria decision-making; operations research; decision support systems; multiple-criteria optimization in construction technology and management; statinio informacinis modeliavimas (BIM)
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Special Issue Information

Dear Colleagues,

With this proposed Special Issue, ‘Advancing Sustainable Construction Management Through Decision Support System’, we aim to explore the integration of intelligent decision-making tools and digital frameworks to promote sustainability in the construction industry. As a major driver of economic growth, the construction sector is also responsible for significant environmental and social impacts, including resource depletion, waste generation, and carbon emissions. As such, managing construction sustainably requires data-driven, systematic, and transparent decision processes that balance economic, environmental, and social dimensions. In this Special Issue, we seek to address these challenges by presenting novel research and applied approaches where Decision Support Systems (DSSs), Artificial Intelligence (AI), Building Information Modeling (BIM), Life Cycle Assessment (LCA), and multi-criteria decision-making (MCDM) methodologies contribute to sustainable construction management.

The focus of this Special Issue is on the development, validation, and application of decision support frameworks that enhance sustainability outcomes throughout a project’s life cycle, from design and planning to operation and decommissioning. The scope includes technological, managerial, and policy perspectives, encompassing topics such as digital twin integration for resource optimization, DSSs for circular economy practices, risk-informed sustainability assessment, and decision models supporting green procurement and materials selection. The purpose is to create a scientific platform that connects theory with practice, offering both academic insight and actionable tools for policymakers, practitioners, and researchers.

This Special Issue will supplement the existing literature by bridging the gap between theoretical sustainability assessment and practical decision implementation in construction management. While previous studies have explored sustainability assessment tools or construction management independently, fewer works have integrated DSS frameworks that operationalize sustainability principles in real-world decision-making contexts. By combining computational intelligence, data analytics, and sustainability metrics, the contributions will highlight how DSSs can quantify and monitor sustainability performance dynamically, supporting more resilient and resource-efficient construction ecosystems.

In line with the scope of Sustainability, this Special Issue will advance interdisciplinary dialog on how decision support systems can help define, measure, and monitor sustainability, addressing socio-economic and environmental trade-offs. It will also emphasize the development of integrated frameworks that align with policies, standards, and Sustainable Development Goals (SDGs). Ultimately, the Special Issue will contribute to a deeper understanding of how digital decision-making tools can accelerate the global transition toward sustainable, low-carbon, and equitable construction practices.

Prof. Dr. Leonas Ustinovichius
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability 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 2400 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

  • sustainable constructiondecision support systems (DSS)
  • construction management
  • building information modeling (BIM)
  • sustainability assessment
  • life cycle analysis (LCA)
  • smart construction technologies
  • environmental performance
  • multi-criteria decision-making (MCDM)
  • sustainable infrastructure development

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Published Papers (2 papers)

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Research

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21 pages, 2010 KB  
Article
Environmental Analysis of Emulsified Asphalt Products in the United States: A Comparative Cradle-to-Gate Life Cycle Assessment
by Amirhossein Ostovar, Elie Hajj, Ghazal Mehdizadeh and Adam Hand
Sustainability 2026, 18(4), 1821; https://doi.org/10.3390/su18041821 - 11 Feb 2026
Cited by 1 | Viewed by 548
Abstract
Growing interest in reducing the environmental impacts of pavement preservation materials has increased the need for evaluations of emulsified asphalt. This study applies a cradle-to-gate Life Cycle Assessment (LCA) to quantify and compare the environmental profiles of four widely used cationic emulsions in [...] Read more.
Growing interest in reducing the environmental impacts of pavement preservation materials has increased the need for evaluations of emulsified asphalt. This study applies a cradle-to-gate Life Cycle Assessment (LCA) to quantify and compare the environmental profiles of four widely used cationic emulsions in the United States: CSS 1, CSS 1H, CRS 2, and CRS 2P. The assessment incorporates primary data collected from 17 manufacturing plants across different regions, supported by information from suppliers and secondary datasets from the 2023 GaBi database. Impact calculations were performed using GaBi software, and sensitivity analyses were conducted to determine which formulation components most influence the results. Environmental impact categories in the study include global warming potential (GWP), particulate matter (PM2.5), photochemical ozone creation potential (POCP), and renewable and nonrenewable primary energy demand. The findings show that rapid-setting emulsions (CRS 2 and CRS 2P) generally exhibit lower environmental burdens than slow-setting emulsions (CSS 1 and CSS 1H). Differences in asphalt binder content, emulsifier dosage, and latex additions were identified as major contributors to environmental performance. By identifying key drivers of environmental impact, this study supports more sustainable material choices in pavement preservation. The results provide updated industry-specific LCA benchmarks for emulsified asphalt and highlight opportunities for environmental improvement through targeted adjustments to product formulations. Full article
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Review

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27 pages, 14299 KB  
Review
Exploring Building Information Modeling (BIM) Adoption in SMEs: A Bibliometric Analysis and State-of-the-Art Review
by Jakub Ejdys, Danuta Szpilko, Joanna Ejdys, Janusz Krentowski, Dariusz Surel, George Lăzăroiu and Leonas Ustinovičius
Sustainability 2026, 18(9), 4465; https://doi.org/10.3390/su18094465 - 1 May 2026
Abstract
This study reviews and summarizes existing research on how small and medium-sized construction enterprises adopt Building Information Modeling (BIM), while also highlighting potential areas for future investigation. The analyses aimed to address two research questions: RQ1: What research areas are explored in scientific [...] Read more.
This study reviews and summarizes existing research on how small and medium-sized construction enterprises adopt Building Information Modeling (BIM), while also highlighting potential areas for future investigation. The analyses aimed to address two research questions: RQ1: What research areas are explored in scientific publications on the use of BIM in small and medium-sized enterprises? RQ2: What future research directions should be pursued regarding the implementation and development of BIM in SMEs? A bibliometric analysis and science-mapping analysis was conducted on 162 Scopus-indexed publications (2007–2025) using Excel, VOSviewer and Biblioshiny, complemented by a state-of-the-art review of 69 recent studies (2022–2025). Keyword analyses revealed five thematic clusters: implementation and adaptation, collaboration and integration, construction industry digitalization, project management, and information systems. Within the identified areas, a state-of-the-art review was conducted to indicate the main research domains and directions for future research. Emerging topics include Industry 4.0-enabled digitalization, common data environments, interoperability, decision-making, human resource management, and safety and risk assessment. Future studies should examine managerial competencies, behavioral drivers of adoption and value creation in resource-constrained contexts. Policymakers and professional bodies should combine capacity building, incentives and lightweight interoperable tools to lower entry barriers for SMEs. Integrating bibliometric mapping with qualitative synthesis, this paper offers an evidence-based research agenda and guidance to support BIM diffusion in SMEs. Full article
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