Circular construction supply chains require recovery-routing decisions on whether decommissioned building components should be reused, remanufactured, or recycled. These decisions are complicated by incomplete information about heterogeneous product value, demand timing, and processing requirements. Digital platforms may reduce such information asymmetries, but their operational value for circular product recovery remains insufficiently understood. This study develops an empirically informed two-stage mixed-integer linear programming and discrete-event simulation (MILP-DES) model to examine how platform-enabled information scenarios affect the supply chain performance in an urban-mining operation handling recovered window sets. Eight information scenarios are evaluated across 30 generated experiments. Under the modelled conditions, integrated information on direct-reuse price, reuse selling time, and remanufacturing duration increases mean profit by 60.4% relative to the low-information baseline. Information on selling time and remanufacturing duration brings greater economic value than price information alone, highlighting the importance of coordinating time and capacity under uncertainty. Integrated information also modestly increases the reuse share and environmental outcomes, although substantially smaller than the economic gains. Sensitivity tests show positive economic value of integrated information across the tested conditions. The information value becomes more pronounced under tighter resource constraints and greater project-network reach, while reuse rate remains bounded by physical operating conditions. The study provides a modelling framework for analysing how information platforms can support recovery decision-making and influence operational results in circular supply chains under uncertainty. ... Read more

Digital platforms are increasingly promoted as key enablers of circular construction, yet empirical insight remains limited into incumbent supply chain actors’ needs and experiences with these platforms as emerging intermediaries. Addressing this gap, this study examines the perceptions of supply chain actors operating within the Dutch construction sector, drawing on 18 semi-structured interviews, a focus group workshop, and observations from two national circular digital transition programs. Building on existing research, digital platforms are conceptualized not merely as technical infrastructures, but as intermediaries embedded within existing supply chain practices and coordination arrangements, forming triadic relationships between supply and demand actors. Accordingly, the analysis is structured according to different intermediation needs across material flows, support flows, and systemic coordination. The findings indicate that digital platforms are widely expected to enhance supply-demand visibility and matchmaking, support compliance with evolving circularity-related KPIs, and facilitate cross-sector coordination. However, their adoption and perceived value vary substantially across actors, product types, and supply chain configurations, with persistent challenges in coordinating material logistics, accounting for environmental and social externalities and managing evolving platform power dynamics. The study contributes to construction management and circular supply chain research by advancing the concept of intermediaries for examining how digital platforms shape circular transitions. It further highlights the importance of more context-sensitive platform design and governance arrangements that respond to diverse intermediation needs and underlying platform dynamics in the transition to circular construction. ... Read more

Contemporary practices like evidence-based circularity and material tracking and tracing, are characterized by collaborative processes to layer, recombine, and update information non-destructively. This paper explores how the emerging IFC5, with USD-inspired, layer-based composition, enables such needs. The data model consists of layers, representing geometry, material characteristics, and lifecycle evidence. We explain how the principles help in a social housing circular window reuse scenario using a python-based web application on top of a Postgres database. By structuring information as composable layers, the introduced data model supports evidence-based circularity tracking, allows material and component matchmaking and information management. ... Read more

Purpose
The procurement process is to be transformed to facilitate circular transition in the built environment by integrating the supply and demand sides' actors and resources. Compared with public bodies, Dutch social housing organizations exhibit variations in circular transition motivations and in how they govern procurement decisions. However, relevant empirical knowledge to integrate circular principles into the procurement process in the Dutch social housing sector is lacking. This research aims to investigate the integration of circular principles into the procurement process and the associated challenges in the Dutch social housing sector, and to provide development potentials based on the empirical findings.

Design/methodology/approach
Case studies with seven circular social housing projects in the Netherlands were conducted, including document studies and 18 interviews with housing associations and supply chain actors. An abductive approach with an iterative coding process was used to analyze case study data in Atlas.ti.

Findings
Various approaches are currently being adopted to integrate circular economy principles into the procurement of Dutch Social Housing, such as innovative construction and contracting methods, contracting with a consortium and adopting program-based contracts and performance-based requirements. The integration of circular economy principles is challenged by logistics and information uncertainties, a lack of knowledge on circular economy, separation of organizational structures, inefficiency in stakeholder collaboration and a lack of regulatory support in circular procurement transitions. An integrated information system, tailored circular procurement strategies and pertinent regulations and governance mechanisms are essential for the future development of circular procurement.

Originality/value
This study contributes to the current literature on circular procurement of private organizations in developed economies. It emphasizes that circular procurement should be understood not merely as a technical function but as a systematic approach encompassing technological, organizational, and environmental contexts. It also offers practical recommendations for adopting circular procurement within and beyond the construction industry. ... Read more

As a tool serving other disciplines of enquiry, artificial intelligence (AI) offers the potential of a potent discovery, a design and analysis paradigm to address (new) questions in urban planning. This thematic issue raises a forum for cross-disciplinary dialogues at the intersection of urban planning and AI. Nine articles discuss both emerging use cases in urban planning practice and the relevant AI techniques being used and developed, as well as articulate the challenges associated. Future development of AI in urban planning shall address the ethical, inclusive, and just implications of AI applications for urban planning while navigating human and AI agents’ interactions and intra-actions to facilitate a better understanding of the intentions of AI development and use, and the impacts on the behaviour of designers and users in complex urban planning practices. ... Read more

Energy-efficient renovation (EER) is a complex process essential for reducing emissions in the built environment. This research identifies homeowners as the main decision-makers, whereas intermediaries and social interactions between peers are highly influential in home renovations. It investigates information and communication barriers encountered during the initial phases of EERs. The study reviews AI tools developed within the EERs domain to assess their capabilities in overcoming these barriers and identifies areas needing improvement. This research examines stakeholders, barriers, and the AI tools in the literature for EERs. The discussion compares the functionalities of these tools against stakeholder needs and the challenges they face. Findings show that tools often overlook methodologies in human–computer interaction and the potential of textual and visual AI methods. Digital tool development also lacks insights from social science and user feedback, potentially limiting the practical impact of these innovations. This article contributes to the EERs literature by proposing an AI-supported framework and outlining potential research areas for future exploration, particularly improving tool effectiveness and stakeholder engagement to scale up the EER practice. ... Read more

Heritage planning is changing, in both theory and practice. There is greater attention to the cultural significance (values and attributes) conveyed to a heritage property, rather than focusing on the property alone. Identifying and revealing this cultural significance has become a critical step in heritage planning. Moreover, international guidelines increasingly encourage public participation in defining the cultural significance of heritage sites. However, effectively involving diverse stakeholders and capturing the cultural significance they attribute to heritage remains a challenge, particularly when dealing with extensive datasets and multiple stakeholders. Although automated methods have shown potential in fields like digital humanities, their application in heritage planning is still limited. This article explores the innovative use of artificial intelligence (AI), particularly text classification analysis, to analyze unstructured textual data (e.g., policy documents, literature, and social media) to uncover the cultural significance of built heritage. Focusing on Yazd, Iran, and specifically on windcatchers—a key cultural attribute recognized for its “outstanding universal value” by UNESCO—this study integrates AI to enhance both urban and socio-cultural planning. This article, as the concluding piece of a broader research project, synthesizes the project’s findings to highlight AI’s potential for inclusive heritage planning, referencing related publications of the same project to provide context while remaining concise. The research is structured in three phases: first, a literature review on AI applications in participatory heritage planning and value-based heritage planning; second, the methodology for data collection and analysis, including coding and comparing values and attributes of windcatchers conveyed by different stakeholders; and third, findings on the values and attributes, and their interrelationships as revealed through the data. The results confirm that while there are both conflicts and alignments in the cultural significance attributed to windcatchers in Yazd among various stakeholders, the theoretical framework presented here offers a valuable tool for heritage planning. By decoding and measuring cultural significance from diverse perspectives, this framework aids in identifying conflicts and alignments and in better aligning stakeholder perspectives. This model can be adapted to other key attributes in Yazd and other case studies, offering broader applications in heritage planning. Additionally, the findings underscore the potential of AI to evaluate the legislative framework’s effectiveness in enhancing public engagement. ... Read more

Wicked challenges such as energy and material shortage have prompted educators in AECO disciplines to adopt CBL methods. This paper explores the potential and limitations of using BIM as an education platform to address these challenges within an inter-disciplinary setting. Through two cases at TU Delft, one re-design of a routine building information management course and a new demo-course with joint-interdisciplinary groups, the research evaluates BIM's role in preparing students for real-world energy and circular transitions. Findings highlight BIM's capacity to bridge academic learning and professional practice, while also identifying areas for improvement in its pedagogies. ... Read more

The transition to a circular economy in the Architecture, Engineering, and Construction (AEC) industry requires coordinated supply chain transitions. Digital tools, such as data-sharing platforms and BIM-based circular design tools, offer potential but remain underutilized, particularly among material suppliers. To bridge this adoption gap, we developed a serious game that connects digital solution developers with AEC professionals, fostering collaboration in circular construction. Tested in a national Growth Fund project, the game simulates real-world challenges, emphasizing needs for data sharing and intermediation. Future integration into lifelong learning programs will equip professionals with the skills to drive circular innovations. ... Read more

Aggregating multiple annotations into a single ground truth label may hide valuable insights into annotator disagreement, particularly in tasks where subjectivity plays a crucial role. In this work, we explore methods for identifying subjectivity in recognizing the human values that motivate arguments. We evaluate two main approaches: inferring subjectivity through value prediction vs. directly identifying subjectivity. Our experiments show that direct subjectivity identification significantly improves the model performance of flagging subjective arguments. Furthermore, combining contrastive loss with binary cross-entropy loss does not improve performance but reduces the dependency on per-label subjectivity. Our proposed methods can help identify arguments that individuals may interpret differently, fostering a more nuanced annotation process. ... Read more

The construction sector is increasingly recognized as a critical domain in the pursuit of a circular economy (CE) (Adams et al. 2017). In the Netherlands, the landfilling of construction and demolition waste (CDW) is already minimized, underlining the transition outcome to CE, but most of the CDW is currently only processed low level recycling or backfilling (Azcárate- Aguerre 2023). Among the various strategies to circularity, reuse of construction products has shown particular promise, where materials and components are recovered, refurbished if necessary, and reintroduced into new or ongoing building projects(Tsui 2023; Van Uden et al. 2025). Yet, despite its potential, this approach faces a series of practical challenges that impede mainstream adoption: fragmented stakeholder networks, inconsistent or incomplete data about available used materials, and a general lack of robust, integrative logistics mechanisms (Tjahjono 2010). […] ... Read more

There has been growing interest in the adoption of advanced digital technologies in the Architecture, Engineering and Construction (AEC) sector, as shown by the increasing number of review studies on the adoption of Digital Twin (DT) in the sector. While previous reviews on DT in the AEC sector have emphasised the technical opportunities and challenges, reviews that take a specific organisational and management focus on the use of DT are lacking. In this systematic review, we close this gap by analysing 102 papers from three main scientific databases (Google Scholar, Scopus and Web of Science), which emphasise organisational and management aspects of using DT in the AEC sector across the project and asset lifecycle phases. The findings indicate that, whereas there is still a stronger focus on finding optimisations for various performance concerns (e.g. project efficiency, health and safety and maintenance performance), there is increasing awareness and interest in using DT to encourage collaboration and (end-)user participation. Despite this recognition, our review also identified a number of critical knowledge gaps on the use and user perspectives of DT, which includes how powerful computational tools can be developed into user-friendly interfaces to reduce complexity and increase accessibility to all stakeholders in the decision-making process, and how participatory design frameworks can be combined with structured feedback systems and standardised data access protocols in order to stimulate communication, continuous improvement, and data-driven decision making. ... Read more

Circularity is often treated as a design principle or strategic ambition to improve resource efficiency, but in practice, many of its claims remain unverified and untraceable. Existing assessment methods typically focus on intended design strategies or modelled impacts, rather than demonstrating real-world outcomes. This paper introduces the concept of evidence-based circularity assessment as an alternative approach for shifting from intention to actionable outcome. Drawing on an analogy of two contrasting ‘circular’ coffee pod systems, it illustrates how the credibility of circularity claims depends on the presence of verifiable evidence, coordinated infrastructure, and traceable processes. Building on these insights, the paper proposes a conceptual framework for assessing circularity, structured around three interdependent elements: proof, process, and persuasion. Finally, the paper explores how these principles can be applied in the built environment, where supporting systems are needed to track, evaluate, and realize circular material flows. The approach aspires to support more transparent, accountable, and adaptive forms of circularity assessment in complex real-world settings. ... Read more

The transition to a circular economy necessitates cities to effectively manage their waste flows by capturing and redirecting them within the municipal domain. Traditional approaches to controlling waste flows have primarily relied on quantitative methods, such as material flow analyses. These methods excel in mapping the quantitative aspects of the materials and visualizing their sequential movements. However, recent advancements have highlighted the significant role of human behavior in shaping waste flows. For example, the way that citizens sort their waste determines the components and calorific value of the flows and directly impacts the circular rerouting challenges within the city. This paper argues that enhancing waste management practices in a circular economy requires analytical tools capable of incorporating the social dimension. Based on this premise, a novel approach termed the Waste Journey is developed and tested using a case study on household renovation waste in the Netherlands. Various methodological options to map the case are discussed and an initial framework for the Waste Journey is then proposed. The study emphasizes the influence of social processes on waste handling and offers a comprehensive means in which these processes can be mapped to effectively address challenges toward zero-waste cities. ... Read more

Artificial Intelligence (AI) has become one of the most dicussed topics of today and are being used to support solving complex problems. AI has given opportunities for efficiency, control, safety while raising issues around trust, optimism and responsibility. One of the prominent features of AI resides in the digitalization of the built environment. Optimizing the built environment to improve quality of life, adapt to climate change and respond to crises requires strategies to redesign, reproduce and manage the traditional ways the built environment has been shaped. In this chapter, we present demonstate how we can use AI for post-pandemic recovery. To do that, we first start with addressing digital transformation and the role of AI. We then discuss how we can accelerate this transformation in cities. We will reflect on the covid-19 crises and the impact of the crises in the built environment. We argue that the use of AI raises new possibilities, questions and problems around how we can better organize the built environment and more inclusive participation while supporting existing logics of the built environment. ... Read more

The recent research focus on circular construction supply chains challenges the integration of supply chain processes. There is a need to build simulation tools for construction, facility management, deconstruction and reuse of building components. This paper introduces a model-based tool to enhance supply chain process integration developed with Business Process Mapping and Notation (BPMN). The model captures the remanufacturing supply chain for façade products that are demounted and reapplied in a different construction project. The paper highlights the tool’s potential for predictive analysis and decision support based on supply chain performances. The demonstration shows an innovative approach to CE-driven supply chains. ... Read more

Automatic design tools are being developed to assist designers handle tedious work at scale. However, knowledge gaps still exist in harnessing deep learning models to learn from human experience for more efficient design generation while keeping the data understandable and interoperable. Moreover, human-in-the-loop approach is largely neglected, which are essential for more user-centered design. This research utilizes graph data to parametrically represent housing designs and graph-representative deep generative models for design generation, which provides an interactive design approach for the users at every step. This method would facilitate the human-centered design process by returning feasible and parametric housing design alternatives. ... Read more

The COVID-19 pandemic period brings huge uncertainty, especially for the real estate sector. On the one hand, restrictions on the mobility of a population, decline in travel demands, popularization of remote work and education models caused doubts among investors questioning the future of the sector and the functions of real estate. On the other hand, the large supply of cash after the first waves of the pandemic and the upcoming increase in inflation resulted in many investors boldly investing cash in real estate, considering them as assets of stable value. This research aims to analyze the processes of value migration among real estate companies listed on the Warsaw Stock Exchange during this turbulent process. We analyzed the changes in the main drivers of value and the migration rates of the real estate sector based on data for 2018, 2019, 2020 and Q3 2021. The first period of the pandemic is the time of the collapse of the main profitability factors, sales and profitability of sales decline in the entire sector. However, the financial pillars of the analyzed companies are stable and we are not seeing signs of liquidity problems or a significant increase in debt. The second year of the pandemic is a significant reflection of most of the drivers of value, often to levels higher than those observed before the pandemic. Investors seem to remain insensitive to turbulent changes in accounting measures of effectiveness. We observe the relative stability of market measures. The processes of the migration of values from and to the sector do not show significant changes when comparing the periods before and during the pandemic. We observe various intensities of the studied phenomena in various groups of the real estate segment. ... Read more

Public participation has been growing in both theory and practice of urban planning, including heritage planning. The reasoning is to facilitate the involvement of a broader group of stakeholders, beyond experts. More specifically, for heritage planning, participation could enable consensus-building on defining the significance of heritage, namely attributes (the resources that should be listed as heritage), and values (the reasons that attributes are important). However, there is not yet a holistic understanding of the influencing factors behind consensus-building in the participatory planning processes for cultural heritage. To evaluate existing research from this angle, a systematic literature review was conducted on peer-reviewed articles using the Scopus database. As most of the studies focuse on urban planning, this research examines the factors influencing consensus-building in the participatory planning process applied to urban and heritage planning and reflects on the applicability of these factors in heritage planning. The main factors were identified inductively and grouped into two categories: 1) public participation: actors, methods, and levels of public participation, and 2) consensus: approaches, and conflicts. The relations between these factors and their frequencies are investigated using statistical analysis methods, namely frequency analysis, independent-samples t-test, and Spearman correlation. The literature confirms that urban planning has applied more diverse methods and tools for public participation compared to studies in the field of heritage planning, and could inspire heritage planning. Conflict is recognized as an intertwined concept with consensus which is considered either as a challenge or as a necessity for an inclusive decision-making. By proposing a framework integrating these factors and sub-factors and illustrating their relationships, this research could also be useful for decision-makers and practitioners to better tailor the public participation process and means to implement it, considering the relevant factors involved. ... Read more

The mental health of older adults has become one of the major health challenges facing society today, which has attracted wide concerns from scholars in urban areas, but research in rural areas has been neglected. Therefore, this paper took rural older adult residents of 11 sample villages in Jintang County, Chengdu City, Sichuan Province, as the research object. After controlling the demographic characteristics of older adults in rural areas, this paper attempted to explore the effects of the rural built Environment on the mental health of older adults. Through field investigation in the sample villages, 515 valid questionnaires were obtained. The results from the Binary Logistic Regression Model show that good marital status, physical health, education level, well-constructed roads, and safe neighborhoods had significant positive effects on the mental health of rural older adults. Rural older adults who prefer to walk, cycle, and use public transport have better mental health, and accessibility to the periodic market, health station, bus station, village committee, supermarket, and the main road is positively correlated with the mental health of rural older adults, while the distance from home to the town center and coach terminal has a significant negative impact on the mental health of rural older adults. The research results provide a theoretical reference for further construction of rural aging environments. ... Read more