The construction sector is a major contributor to global waste output, with construction and demolition waste (CDW) producing substantial environmental, economic, and logistical challenges. Traditional methods for handling waste in developing countries have failed to implement sustainability concepts successfully, resulting in inefficient resource consumption and increasing landfill reliance. This study develops an Analytic Hierarchy Process (AHP) framework to integrate circular economy (CE) principles into construction waste management (CWM). The framework evaluates four criteria under economic, environmental, social, and technological categorization and applies expert-based pairwise comparisons to prioritize alternative strategies. To ensure reliability, the results were further validated through sensitivity analysis and cross-validation using complementary MCDM methods, including the TOPSIS, WSM, and WPM. The research attempted to determine the most successful waste management approach by examining critical economic, social, technical, and environmental issues in the setting of Sri Lanka as a case study. A hierarchical model was built, and expert views were gathered using pairwise comparisons to assess the relative importance of each criterion. The results showed that environmental considerations had the greatest relative importance (41.6%), followed by economic (38.4%), technical (12.6%), and social aspects (7.4%). On-site waste segregation appeared as the most suitable method owing to its immediate contribution to sustainability, while off-site treatment, prefabrication, modular construction, and waste-to-energy conversion followed. The research underlines the significance of organized decision-making in waste management and advises incorporating real-time data analytics and artificial intelligence to boost adaptable and sustainable construction practices.

This research study addresses the developing synergy between landscape architecture and civil engineering in the context of sustainable urban development. The study intends to analyze how these multidisciplinary professions might collectively handle urban difficulties while assuring long-term environmental, social, and economic sustainability. Using the PRISMA technique, the study thoroughly reviewed secondary data from the Scopus database, identifying 23 relevant publications published between 2015 and 2024. The study outlines major integration techniques, obstacles, and emerging trends that impact the cooperation between various disciplines. The results emphasize major impediments to successful multidisciplinary collaboration, including policy fragmentation, inadequate cross-disciplinary education, and technology adaption issues. Additionally, the research underlines the significance of merging theoretical frameworks and practical case studies to increase the knowledge of integrated urban development techniques. By offering a comprehensive examination of the literature, this study adds to a greater knowledge of interdisciplinary urban planning solutions and gives significant insights for policymakers, academics, and practitioners working toward resilient and adaptable urban environments.

The construction industry plays an important part in economic growth but notably contributes to environmental deterioration owing to excessive resource use and waste generation. The implementation of circular economy (CE) principles provides a revolutionary strategy for reducing these unfavourable consequences by encouraging resource efficiency, material reuse, and waste reduction. The article assesses the economic and environmental benefits of principles of CE in civil construction, with a specific emphasis on their use in Sri Lanka. The research contains an analytical examination of current trends, an assessment of economic implications, and an evaluation of environmental sustainability improvements provided by CE adoption. It incorporates global and local case studies to find best practices and obstacles in circular economy implementation. The study technique comprises statistical analysis, including Pearson correlation analysis, to explore links between CE methods such as material recycling, waste management, and energy efficiency. The results demonstrate that CE principles greatly cut operating costs, boost energy efficiency, and minimize carbon footprints. These observations emphasize the significance of concerted efforts among policymakers, industry stakeholders, and regulatory agencies to promote the adoption of sustainable construction practices. The article continues by underlining the significance of organized legislative frameworks and technical advancements to assist the circular transition within the construction industry.

Retrofitting heritage buildings promotes sustainable development by balancing decarbonisation with lifetime implications on cultural conservation, comfort, and resource efficiency. Existing data-driven techniques emphasise accuracy over conveying physical-consistency uncertainty, heritage limitations, and embedded operational-carbon trade-offs. This study introduces Adaptive Retrofit and Conservation for Heritage Energy Resilience (ARCHER), an explainable physics-guided deep learning framework that combines reduced-order physics lifecycle-carbon accounting, temporal representation, ensemble uncertainty, and constrained multi-objective optimisation. ARCHER translates dual-target forecasts into retrofit alternatives that are evaluated for moisture legacy impact cost and discomfort before recalculating Pareto solutions using the governing equations. In 8192 Sobol-sampled scenarios for one heritage building, ARCHER attained domain R² values of 0.9986 for supplied energy and lifespan carbon. Although the Temporal Transformer had lower errors and ARCHER’s intervals remained undercalibrated, the uncertainty ranking lowered RMSE in the least-uncertain decile to 1.51 kWh m⁻² year⁻¹ and 15.40 kgCO₂e m⁻². Exact recalculation kept 42 Pareto optimum possibilities, whereas balanced solutions cut energy and lifetime carbon by 84.3% and 88.1%, respectively, compared to the no-action baseline. ARCHER promotes sustainable heritage decision support by integrating environmental performance, cultural compatibility, and risk screening.