Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.5	5.5	2011	19.8 Days	CHF 2400	Submit
Architecture architecture	1.4	2.2	2021	34.2 Days	CHF 1200	Submit
Buildings buildings	3.1	4.4	2011	14.9 Days	CHF 2600	Submit
CivilEng civileng	2.0	4.0	2020	27 Days	CHF 1400	Submit
Energies energies	3.2	7.3	2008	16.2 Days	CHF 2600	Submit
Materials materials	3.2	6.4	2008	15.2 Days	CHF 2600	Submit
Remote Sensing remotesensing	4.1	8.6	2009	24.9 Days	CHF 2700	Submit
Sustainability sustainability	3.3	7.7	2009	19.3 Days	CHF 2400	Submit

27 pages, 20097 KB

Open AccessArticle

Balancing Heritage and Modernity: A Hierarchical Adaptive Approach in Rome’s Cultural Sports Urban Renewal

by Kai Tang and Angelo Figliola

Buildings 2025, 15(24), 4570; https://doi.org/10.3390/buildings15244570 - 18 Dec 2025

This research proposes a hierarchical adaptive approach to urban renewal that seeks to reconcile heritage preservation with contemporary functional demands in historic urban environments. Focusing on cultural and sports public facilities in the northwestern urban–rural interface of Rome, the research identifies critical mismatches [...] Read more.

This research proposes a hierarchical adaptive approach to urban renewal that seeks to reconcile heritage preservation with contemporary functional demands in historic urban environments. Focusing on cultural and sports public facilities in the northwestern urban–rural interface of Rome, the research identifies critical mismatches between facility typologies, user groups, and mobility patterns, including fragmented connectivity, child-exclusionary environments, and unsafe pedestrian–vehicular interactions. A three-tiered intervention framework is developed, comprising minimal intervention for heritage-preserved structures, semi-intervention for high-use contemporary facilities, and full intervention for generic or underutilized buildings and undeveloped land. Using field surveys, GIS-based spatial analysis, and visualized performance metrics, the study evaluates how vertical functional superposition, independent pedestrian systems, and transitional connectors can enhance spatial legibility, accessibility, and social inclusiveness. The results show that hierarchical adaptive renewal improves pedestrian safety, strengthens functional integration between cultural–sports facilities and adjacent residential areas, and activates underused spaces while maintaining the integrity of Rome’s historic fabric. Beyond the case study, the framework offers a transferable model for other high-density historic cities seeking to balance heritage protection, everyday usability, and sustainable urban development. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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26 pages, 2664 KB

Open AccessArticle

Optimal Allocation of Electric Vehicles Charging Stations in Commercial Parking Lots: A Mixed-Integer Nonlinear Programming Approach

by Kimia Khalili, Rouzbeh Reza Ahrabi, Po-Han Chen and Fuzhan Nasiri

Sustainability 2025, 17(23), 10862; https://doi.org/10.3390/su172310862 - 4 Dec 2025

Viewed by 379

Abstract

This study presents a mixed-integer nonlinear programming (MINLP) framework to optimize the allocation of electric vehicle charging stations (EVCSs) in existing indoor parking facilities. The model minimizes total life-cycle cost by jointly determining charger types and placements while accounting for spatial feasibility and [...] Read more.

This study presents a mixed-integer nonlinear programming (MINLP) framework to optimize the allocation of electric vehicle charging stations (EVCSs) in existing indoor parking facilities. The model minimizes total life-cycle cost by jointly determining charger types and placements while accounting for spatial feasibility and investment constraints. A hybrid search method that combines complete enumeration with dynamic programming is applied to identify the least-cost configuration within geometric and electrical limitations. The results show that configurations combining dual- and quad-port chargers outperform single-port layouts by reducing redundant electrical and installation costs. The analysis confirms that integrating life-cycle costing with spatial feasibility yields a practical decision-support tool for property owners seeking to expand charging capacity within existing facilities. Overall, the framework demonstrates that cost-efficient retrofitting of EV charging infrastructure can be achieved without additional land development, supporting broader sustainability objectives and promoting low-carbon mobility. Future research will extend the model to multiple facility layouts and incorporate sensitivity and uncertainty analyses to evaluate robustness under varying geometric and economic conditions. The findings of this paper provide a practical foundation for future planning studies and demonstrate how cost-optimized retrofit strategies can support the scalable expansion of EV charging infrastructure in existing facilities. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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28 pages, 11211 KB

Open AccessArticle

Biophilia in Transit: Exploring the Impact of Indoor Plants on Wellbeing in Airports

by Khansa Anastya and Francesco Aletta

Buildings 2025, 15(22), 4065; https://doi.org/10.3390/buildings15224065 - 12 Nov 2025

Viewed by 639

Abstract

Airport environment often exposes passengers to stress, negatively impacting health and wellbeing. This study links plant visibility to passenger stress in Jakarta Terminal 3, applying the Stimulus-Organism-Response model to address a gap in airport research. The mixed methods included a combination of questionnaires [...] Read more.

Airport environment often exposes passengers to stress, negatively impacting health and wellbeing. This study links plant visibility to passenger stress in Jakarta Terminal 3, applying the Stimulus-Organism-Response model to address a gap in airport research. The mixed methods included a combination of questionnaires (N = 104) and field observations. Statistical and behavioural analyses triangulated the findings. Respondents exhibit positive attitudes towards plants: 78% prefer lush images and 88% agree that seeing plants reduces stress. At the stimulus stage, awareness is high (86%), but visibility varies by zone. Stress levels peak at baggage claim (49%) and other processing areas. At the organism level, visibility is linked to stress only at arrival, with results suggesting that passengers who did not see plants are 4.57 times more likely to have high stress. At the response stage, results suggest that stress is not associated with dwell time, activities, or plant demand. However, those who see plants are 2.21 times more likely to request planting. The findings suggest prioritising plant visibility over volume, highlighting the need for broader scope and diverse data types in future research to yield more robust conclusions. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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21 pages, 2797 KB

Open AccessArticle

Technical Mediation and Human Presence: A Study on Policy Evolution and Development Pathways of Future Communities

by Liang Xu, Shangkai Song, Ping Shu and Dengjun Ren

Buildings 2025, 15(22), 4027; https://doi.org/10.3390/buildings15224027 - 8 Nov 2025

Viewed by 592

Abstract

As an advanced form of community development, Future Communities (Weilai Shequ) is a policy-led urban initiative launched in Zhejiang, China, that prioritizes human-centered development. However, it is currently confronted with an inherent contradiction: the expansion of technological rationality is encroaching upon humanistic values. [...] Read more.

As an advanced form of community development, Future Communities (Weilai Shequ) is a policy-led urban initiative launched in Zhejiang, China, that prioritizes human-centered development. However, it is currently confronted with an inherent contradiction: the expansion of technological rationality is encroaching upon humanistic values. Centering on the core “technology–human” relationship, this study is dedicated to exploring development measures for Future Community that synergistically integrate technological empowerment and humanistic care. Using natural language processing techniques (LDA topic modeling), we conducted an exploration and analysis of the thematic characteristics and evolution of 40 policy documents related to future communities issued by the central and local governments of China from 2014 to 2024. The study identifies six core topics: Quality Enhancement, Technical Foundation, Intelligent Operations and Maintenance, Green and Low-Carbon, All-Age Friendliness, and Community Services. Analysis revealed that each theme embodies a dual connotation of both technological and humanistic dimensions. Furthermore, the study revealed that the evolution of policy semantics follows a three-stage developmental pattern: technology dominance and nascent human-centered values; human-centered rise and technology empowerment; and human-centered deepening and technological embeddedness. Based on the above findings, and grounded in a phenomenological perspective, this study integrates Alexander’s human-centered architectural philosophy with Ihde’s theory of technological mediation to propose a future community construction pathway jointly driven by “technological mediation” and “human presence.” Theoretically, this research transcends the binary narrative of technology versus humanism. In practice, it provides policymakers with tools to avoid technological pitfalls. It establishes fundamental principles for planners and designers to implement humanistic values, ultimately aiming to realize, at the community level, the vision of technology serving humanity’s aspiration for a better life. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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24 pages, 960 KB

Open AccessArticle

A Systems Thinking Approach to Address Social Acceptance Challenges in Australia’s Renewable Energy Transition

by Sajani Jayasuriya, Dilan Weerasooriya, Rebecca Yang and Carol Bond

Sustainability 2025, 17(21), 9812; https://doi.org/10.3390/su17219812 - 4 Nov 2025

Viewed by 546

Abstract

The transition to renewable energy (RE) is crucial in addressing global environmental challenges, yet most initiatives have traditionally emphasised technological innovation and cost efficiency, often neglecting their potential to generate social value. Social value creation encompasses positive impacts, including job creation, community development, [...] Read more.

The transition to renewable energy (RE) is crucial in addressing global environmental challenges, yet most initiatives have traditionally emphasised technological innovation and cost efficiency, often neglecting their potential to generate social value. Social value creation encompasses positive impacts, including job creation, community development, and social equity, which are essential for long-term success and acceptance. A lack of acceptance by local communities is a significant barrier to increasing the RE targets in Australia. This study investigates the importance of integrating social acceptance for RE transition projects in Australia, using responses from a sample of 15 expert interviews. Through a comprehensive literature review, this study initially identifies key gaps in current RE initiatives, highlighting the underrepresentation of social outcomes. To complement these insights, fifteen semi-structured interviews were conducted using purposive sampling and stakeholders provided a deeper understanding of how social factors influence project outcomes. The findings were synthesised into Causal Loop Diagrams (CLDs), which mapped strategies for effective energy integration across socio-political, community, and market domains, and CLDs were subsequently validated through focus group discussions. Findings highlighted that “lack of awareness within the industry” and “lack of standardised government policies around RET” as significant barriers. The findings suggest that a holistic approach, addressing social, environmental, and economic dimensions, is necessary to enhance the social acceptance of RE transition projects. This study contributes to the growing body of knowledge on the social acceptance of RE by providing a systems thinking framework for stakeholders including policymakers. The study further recommends future research on policy frameworks and stakeholder engagement strategies to support this transition. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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21 pages, 264 KB

Open AccessPerspective

Electricity Supply Systems for First Nations Communities in Remote Australia: Evidence, Consumer Protections and Pathways to Energy Equity

by Md Apel Mahmud and Tushar Kanti Roy

Energies 2025, 18(19), 5130; https://doi.org/10.3390/en18195130 - 26 Sep 2025

Cited by 1 | Viewed by 1057

Abstract

Remote First Nations communities in Australia experience ongoing energy insecurity due to geographic isolation, reliance on diesel, and uneven consumer protections relative to grid-connected households. This paper analyses evidence on electricity access, infrastructure and practical experience along with initiatives for improving existing infrastructure; [...] Read more.

Remote First Nations communities in Australia experience ongoing energy insecurity due to geographic isolation, reliance on diesel, and uneven consumer protections relative to grid-connected households. This paper analyses evidence on electricity access, infrastructure and practical experience along with initiatives for improving existing infrastructure; highlights government policies, funding frameworks and regulation; demonstrates the benefits of community-led projects; provides geographic and demographic insights; and relevels key challenges along with pathways for effective solutions. Drawing on existing program experience, case studies and recent reforms (including First Nations–focused strategies and off-grid consumer-protection initiatives), this paper demonstrates that community energy systems featuring solar-battery systems can significantly improve reliability and affordability by reducing reliance on diesel generators and delivering tangible household benefits. The analyses reveal that there is an ongoing gap in protecting off-grid consumers. Hence, this work proposes a practical agenda to improve electricity supply systems for First Nations community energy systems through advanced community microgrids (including long-duration storage), intelligent energy management and monitoring systems, rights-aligned consumer mechanisms for customers with prepaid metering systems, fit-for-purpose regulation, innovative blended finance (e.g., Energy-as-a-Service and impact investment) and on-country workforce development. Overall, this paper contributes to a perspective for an integrated framework that couples technical performance with equity, cultural authority and energy sovereignty, offering a replicable pathway for reliable, affordable and clean electricity for remote First Nations communities. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

31 pages, 6084 KB

Open AccessArticle

Reframing Smart Campus Assessment for the Global South: Insights from Papua New Guinea

by Ken Polin, Tan Yigitcanlar, Mark Limb, Tracy Washington, Fahimeh Golbababei and Alexander Paz

Sustainability 2025, 17(14), 6369; https://doi.org/10.3390/su17146369 - 11 Jul 2025

Cited by 1 | Viewed by 927

Abstract

Higher-education institutions are increasingly embracing digital transformation to meet the evolving expectations of students, academics, and administrators. The smart campus paradigm offers a strategic framework for this shift, yet most existing assessment models originate from high-income contexts and remain largely untested in the [...] Read more.

Higher-education institutions are increasingly embracing digital transformation to meet the evolving expectations of students, academics, and administrators. The smart campus paradigm offers a strategic framework for this shift, yet most existing assessment models originate from high-income contexts and remain largely untested in the Global South, where infrastructural and technological conditions differ substantially. This study addresses this gap by evaluating the contextual relevance of a comprehensive smart campus assessment framework at the Papua New Guinea University of Technology (PNGUoT). A questionnaire survey of 278 participants—students and staff—was conducted using a 5-point Likert scale to assess the perceived importance of performance indicators across four key dimensions: Smart Economy, Smart Society, Smart Environment, and Smart Governance. A hybrid methodology combining the Best–Worst Method (BWM) and Public Opinion (PO) data was used to prioritise framework components. The research hypothesises that contextual factors predominantly influence the framework’s relevance in developing countries and asks: To what extent is the smart campus assessment framework relevant and adaptable in the Global South? The study aims to measure the framework’s relevance and identify contextual influences shaping its application. The findings confirm its overall applicability while revealing significant variations in stakeholder priorities, emphasising the need for context-sensitive and adaptable assessment tools. This research contributes to the refinement of smart campus frameworks and supports more inclusive and responsive digital transformation strategies in developing country higher education institutions. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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21 pages, 4770 KB

Open AccessArticle

Prediction of Compressive Strength of Sustainable Concrete Incorporating Waste Glass Powder Using Machine Learning Algorithms

by Sushant Poudel, Bibek Gautam, Utkarsha Bhetuwal, Prabin Kharel, Sudip Khatiwada, Subash Dhital, Suba Sah, Diwakar KC and Yong Je Kim

Sustainability 2025, 17(10), 4624; https://doi.org/10.3390/su17104624 - 18 May 2025

Cited by 2 | Viewed by 2493

Abstract

The incorporation of waste ground glass powder (GGP) in concrete as a partial replacement of cement offers significant environmental benefits, such as reduction in CO₂ emission from cement manufacturing and decrease in the use of colossal landfill space. However, concrete is a [...] Read more.

The incorporation of waste ground glass powder (GGP) in concrete as a partial replacement of cement offers significant environmental benefits, such as reduction in CO₂ emission from cement manufacturing and decrease in the use of colossal landfill space. However, concrete is a heterogeneous material, and the prediction of its accurate compressive strength is challenging due to the inclusion of several non-linear parameters. This study explores the utilization of different machine learning (ML) algorithms: linear regression (LR), ElasticNet regression (ENR), a K-Nearest Neighbor regressor (KNN), a decision tree regressor (DT), a random forest regressor (RF), and a support vector regressor (SVR). A total of 187 sets of pertinent mix design experimental data were collected to train and test the ML algorithms. Concrete mix components such as cement content, coarse and fine aggregates, the water–cement ratio (W/C), various GGP chemical properties, and the curing time were set as input data (X), while the compressive strength was set as the output data (Y). Hyperparameter tuning was carried out to optimize the ML models, and the results were compared with the help of the coefficient of determination (R²) and root mean square error (RMSE). Among the algorithms considered, SVR demonstrates the highest accuracy and predictive capability with an R² value of 0.95 and RMSE of 3.40 MPa. Additionally, all the models exhibit R² values greater than 0.8, suggesting that ML models provide highly accurate and cost-effective means for evaluating and optimizing the compressive strength of GGP-incorporated sustainable concrete. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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30 pages, 6301 KB

Open AccessArticle

Fostering Resilient Communities Through the Interaction of Heritage, Policy, and Participation: Insights from a Lithuanian Case Study

by Lina Seduikyte, Indre Grazuleviciute-Vileniske, Aušra Mlinkauskienė and Eglė Januškienė

Sustainability 2025, 17(9), 3883; https://doi.org/10.3390/su17093883 - 25 Apr 2025

Cited by 1 | Viewed by 1790

Abstract

This study explores community-driven projects, participatory governance, and adaptive urban policies to enhance social resilience and sustainability in urban environments. By combining a comprehensive literature review, a questionnaire survey, and practical recommendations, it underscores the importance of socioeconomic equality, cultural heritage preservation, and [...] Read more.

This study explores community-driven projects, participatory governance, and adaptive urban policies to enhance social resilience and sustainability in urban environments. By combining a comprehensive literature review, a questionnaire survey, and practical recommendations, it underscores the importance of socioeconomic equality, cultural heritage preservation, and inclusive growth. Through both qualitative and quantitative analyses that incorporate a broad review of scientific literature and a focused survey within Lithuania, this study identifies key strategies for strengthening urban resilience. It highlights the critical role of community engagement in urban planning and the preservation of heritage as a means to maintain local identity and foster civic participation. These elements collectively contribute to more resilient, inclusive, and sustainable urban spaces. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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22 pages, 56507 KB

Open AccessArticle

Study on the Correlations Between Spatial Morphology Parameters and Solar Potential of Old Communities in Cold Regions with a Case Study of Jinan City, Shandong Province

by Fei Zheng, Peisheng Liu, Zhen Ren, Xianglong Zhang, Yuetao Wang and Haozhi Qin

Buildings 2025, 15(8), 1250; https://doi.org/10.3390/buildings15081250 - 10 Apr 2025

Cited by 1 | Viewed by 834

Abstract

Currently, urban development has entered the stage of renewal and transformation. Energy transition is an important trend for sustainable urban development, and the assessment of solar energy potential in old residential areas in cold regions is of great significance. This study selects 47 [...] Read more.

Currently, urban development has entered the stage of renewal and transformation. Energy transition is an important trend for sustainable urban development, and the assessment of solar energy potential in old residential areas in cold regions is of great significance. This study selects 47 old residential communities in Jinan, a cold region of China, as case samples. Using clustering algorithms based on spatial form characteristic parameters, the study divides the samples into five categories. The study then uses the Ladybug tool to simulate the distribution and total solar energy utilization potential of buildings in the five categories and analyzes the correlation between eight spatial form parameters and building solar energy potential. A linear regression model is established, and strategies for the application of BIPV in community buildings are proposed. The study finds that factors such as plot ratio, building density, open space ratio, volume-to-surface ratio, and form coefficient have a significant impact on the solar energy potential of residential communities; the p-values are −0.785, −0.783, 0.783, −0.761, and 0.724, respectively. Among these, building density (BD) is the most crucial factor affecting the solar energy potential of building facades. Increasing by one unit can reduce the solar energy utilization potential by 28.00 kWh/m²/y. At the same time, installing photovoltaic panels on old residential buildings in cold regions can reduce building carbon emissions by approximately 48%. The research findings not only provide methodological references for photovoltaic technology application at varying neighborhood scales in urban settings but also offer specific guidance for low-carbon retrofitting of aging urban communities, thereby facilitating progress in urban carbon emission reduction. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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30 pages, 1120 KB

Open AccessArticle

Soft Skills for Teams in Public Linear Infrastructure: The Development of a Decision Support Tool

by Hollie K. Davies, John J. Posillico and David J. Edwards

Buildings 2025, 15(7), 1197; https://doi.org/10.3390/buildings15071197 - 5 Apr 2025

Cited by 3 | Viewed by 1159

Abstract

Despite the plethora of digital and technological advances made in the construction industry over the past three decades, at its core, the sector remains human-centric. Consequently, this research investigates the core soft skills employed on public linear infrastructure (PLI) projects (during the construction [...] Read more.

Despite the plethora of digital and technological advances made in the construction industry over the past three decades, at its core, the sector remains human-centric. Consequently, this research investigates the core soft skills employed on public linear infrastructure (PLI) projects (during the construction phase) that are digitally enabled and concludes with the development of a decision support tool for PLI project team management. A mixed philosophical stance is implemented using interpretivism, postpositivism and grounded theory together with abductive reasoning to examine subject matter experts’ perceptions of the phenomena under investigation. Textual analysis is then utilised to formulate a decision support tool as a theoretical construct. The research findings demonstrate that communication, leadership and creativity/curiosity are the three main soft skills required of PLI projects. Furthermore, the key elements of a decision support tool—namely, trackable and measurable data, clear objectives and success criteria, and an easy-to-understand visual format—were identified. Such knowledge provides a strong base for building an emotionally intelligent project team. This research constitutes the first attempt to understand the essential soft skills required on PLI projects and, premised upon this, generate a decision support tool for project management in teams that helps to augment project performance through workforce investment via a learning organisation. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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28 pages, 2010 KB

Open AccessArticle

Challenges and Benefits of Implementing AI in Timber Construction for Circular Economy Goals

by Mohsen Ghobadi and Samad M. E. Sepasgozar

Buildings 2025, 15(7), 1073; https://doi.org/10.3390/buildings15071073 - 26 Mar 2025

Cited by 3 | Viewed by 2056

Abstract

Artificial intelligence (AI) is considered an essential enabler of a circular economy (CE) in the construction industry. AI can significantly enhance the efficiency of applying innovative CE practices in other construction projects. However, it has not yet been fully integrated into the application [...] Read more.

Artificial intelligence (AI) is considered an essential enabler of a circular economy (CE) in the construction industry. AI can significantly enhance the efficiency of applying innovative CE practices in other construction projects. However, it has not yet been fully integrated into the application of CE principles and has explicitly been overlooked in the context of timber construction. This study aims to bridge this gap by examining the potential contributions of AI applications to achieving CE in timber construction, as well as identifying the associated benefits and challenges. Through a mixed-methods approach, the research utilizes both qualitative data, collected through timber construction industry interviews, and quantitative analysis to explore professional construction perspectives and uncover actionable insights. The findings highlight the transformative potential of AI to enhance sustainability and operational efficiency in timber construction. Moreover, six potential benefits and 11 challenges for integrating AI and a CE in timber construction are identified that can act as an accelerator for advancing circularity in timber construction. Based on the results, the reduction in construction waste and facilitating the deconstruction and reuse process emerge as the most important benefits. Data obstacles, technological integration, finance and resources, and organizational and industry are determined as the main challenges. This study makes novel contributions to the field by providing empirical evidence in the form of qualitative and quantitative data, in addition to practical recommendations for advancing the integration of AI to promote CE goals and improve sustainability in the timber construction sector. Full article

(This article belongs to the Topic Recent Studies and Innovative Approaches to Sustainable Communities, Buildings, Cities and Infrastructure)

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