Rapid urbanization and infrastructure expansion in Ghana have intensified demand for concrete, yet reliable, context-specific forecasting tools to support long-term infrastructure planning and resource management remain limited. Existing demand models are largely developed for advanced economies or focused on cement production rather than final concrete consumption, limiting the applicability to rapid urbanizing developing countries. This study addresses this gap by developing an integrated forecasting framework to quantify and project concrete demand in Ghana. Using time-series data spanning 2000–2025, the study employs a modelling approach that combines the Autoregressive Distributed Lag (ARDL) model and Error Correction Model (ECM) to examine both short- and long-run relationships between concrete consumption and key macroeconomic indicators, including GDP, population, GDP growth, concrete prices, housing loan interest rates, lending rates, and exchange rates. Forecast results for 2025–2030 indicated a sustained upward trend in concrete consumption, increasing from 39,278.52 m³ in 2026 to 99,430.53 m³ in 2030, with an average annual growth rate of 26.3% and a mean projected demand of 67,730.83 m³. Model evaluation metrics demonstrated high predictive accuracy, confirming the robustness of the proposed framework. The study contributes to the literature on construction demand forecasting by providing a context-specific, empirically validated model of concrete consumption in a developing economy. The findings offer actionable insights for policymakers, urban planners, and construction managers, underscoring the need to proactively scale local production capacity, strengthen supply-chain logistics, and promote sustainable material sourcing to support infrastructure development.

This study investigates the adoption and utilisation of hidden roof construction as an innovative alternative to traditional roofing systems in Ghana’s urban housing. Although hidden roofs offer advantages in climate adaptability, aesthetics, and cost efficiency, their adoption remains limited. Using a survey-based partial least squares structural equation modelling approach, this study identifies the factors influencing their acceptance and use. Quantitative data were collected through field surveys from residents and construction professionals within the Kumasi Metropolitan Area. A structured questionnaire was administered using purposive and convenience sampling, yielding 175 valid responses from a total of 220 distributed questionnaires (79.5% response rate). Findings indicate that hidden roof systems are valued for their climatic suitability, particularly their resistance to water leakage and reduced heat absorption, alongside their efficient drainage design. Aesthetic appeal, cultural relevance, and ease of maintenance also emerged as key determinants of positive perception and adoption. Structural analysis confirmed significant positive relationships between design concept, aesthetic and social values, sustainability, functionality, and overall acceptance. The study provides practical guidance for architects, engineers, developers, and policymakers seeking to promote sustainable, user-centred roof design in tropical urban contexts. Findings are, however, limited to Kumasi and may not fully generalise to other Ghanaian cities.