Addressing resource depletion and minimizing construction waste requires closing the material loop through circular economy practices. However, the lack of comprehensive material information remains a significant barrier. The materials passport (MP) has become an essential tool for documenting material properties and dynamically updating information throughout its lifecycle. Despite recent advancements, existing MP frameworks remain static and lack a holistic approach, limiting their effectiveness in assessing material quality and supporting high-value recovery and reuse. As a result, the industry remains reluctant to adopt secondary materials due to concerns about their performance and quality in structural applications where assurance of reliability is essential. Therefore, this study aims to address this gap by (1) defining the conceptual boundary of the MP framework by examining current MP practices, key functions, and existing limitations and (2) developing a standardized framework using concrete as demonstration material. An extensive literature review was conducted to define the conceptual boundary. Literature and relevant standards were reviewed to identify essential attributes. The study identified three core MP functions, including material tracking and management, circularity assessment, and sustainability assessment, while proposing an additional function of quality assessment. These four functions collectively informed the development of a unique standardized and holistic MP framework. Thus, this study contributes by enabling practitioners to make quality-based, data-driven decisions that support the effective secondary use of materials.

Inspections and condition monitoring of the stormwater pipe networks have become increasingly crucial due to their vast geographical span and complex structure. Unmanaged pipelines present significant risks, such as water leakage and flooding, posing threats to urban infrastructure. However, only a small percentage of pipelines undergo annual inspections. The current practice of CCTV inspections is labor-intensive, time-consuming, and lacks consistency in judgment. Therefore, this study aims to propose a cost-effective and efficient semi-automated approach that integrates computer vision technology with Deep Learning (DL) algorithms. A DL model is developed using YOLOv8 with instance segmentation to identify six types of defects as described in Water Services Association (WSA) Code of Australia. CCTV footage from Banyule City Council was incorporated into the model, achieving a mean average precision (mAP@0.5) of 0.92 for bounding boxes and 0.90 for masks. A cost–benefit analysis is conducted to assess the economic viability of the proposed approach. Despite the high initial development costs, it was observed that the ongoing annual costs decreased by 50%. This model allowed for faster, more accurate, and consistent results, enabling the inspection of additional pipelines each year. This model serves as a tool for every local council to conduct condition monitoring assessments for stormwater pipeline work in Australia, ultimately enhancing resilient and safe infrastructure asset management.

Building-integrated photovoltaics (BIPV) is expected to play a relevant role in decarbonising our cities, both in new buildings and retrofit projects, making them more sustainable, resilient and pleasant. However, BIPV remains a niche market. To understand the reasons and help boost its development, this paper provides insights into BIPV through a holistic and systematic analysis that considers BIPV’s dual nature as both photovoltaic and building product. The methodology is based on the analyses of several BIPV technological innovation systems (TISs) developed in six countries, as well as extensive comparative assessments and investigations to identify key global features of BIPV. Social aspects, market status and forecast, perspectives from the photovoltaic and building sectors, and related regulations and standardisation are key aspects analysed to develop recommendations for policymakers. Outcome examples are low to moderate acceptance of BIPV among building owners, who give cost reasons for choosing building-added photovoltaics (BAPV) over BIPV, as well as a need for information, official guidance, skilled personnel, improved cross-sector collaboration, availability of BIPV products, proper digital tools and specific regulation to improve BIPV’s legitimacy in the construction sector. Essential is developing policies that encourage the adoption of BIPV, including standardisation, promotion and financing.

Sustainable transport infrastructure, highlighted in Agenda 21, Rio+20, and the 2030 Agenda, promotes resource efficiency and reduced environmental impact. Integrating circular economy principles into road construction supports these goals. However, limited material traceability and insufficient lifecycle information hinder the effective adoption of circular practices in the sector. Material passports have emerged as an enabling tool to address this gap by systematically documenting detailed data on material composition, environmental impact, lifecycle history, and potential for reuse or recycling. Despite growing adoption in the building sector, their application in road infrastructure remains limited. Therefore, this study aims to develop a material passport framework tailored for road pavements to enhance circularity and promote sustainable material management. A two-phase research method was used; first, a structured desk review identified relevant attributes; second, these attributes were categorized into six key domains and organized across three hierarchical levels: product, layer, and material to reflect pavement system complexity. The proposed framework enables multi-level documentation. Thus, the outcome of this study majorly contributes to advancing circular economy practices and the achievement of sustainable development goals by promoting resource efficiency, sustainable infrastructure, and responsible material use across the pavement lifecycle.